SlideShare a Scribd company logo
1 of 5
Download to read offline
AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011

Finite Element Simulation and Experiment of Chip
Formation Process during High Speed Machining of
AISI 1045 Hardened Steel
C.Z.Duan1, 2 , T.Dou1, Y.J.Cai 2, Y.Y.Li 1
1

Dalian University of Technology/School of Mechanical Engineering/Institute of Die and Mould, Dalian , China
Email: dcz71@163.com
2
Tianjin University of Technology and Education/Tianjin Key Laboratory of High Speed Cutting & Precision Machining,
Tianjin , China
Abstract—As an advanced manufacturing technology which
has been developed rapidly in recent years, high speed
machining is widely applied in many industries. The chip
formation during high speed machining is a complicated
material deformation and removing process. In research area
of high speed machining, the prediction of chip morphology is
a hot and difficult topic. A finite element method based on the
software ABAOUS which involves Johnson-Cook material
model and fracture criterion was used to simulate the serrated
chip morphology and cutting force during high speed
machining of AISI 1045 hardened steel. The serrated chip
morphology and cutting force were observed and measured by
high speed machining experiment of AISI 1045 hardened steel.
The effects of rake angle on cutting force, sawtooth degree
and space between sawteeth were discussed. The investigation
indicates that the simulation results are consistent with the
experiments and this finite element simulation method
presented can be used to predict the chip morphology and
cutting force accurately during high speed machining of
hardened steel.

process. But these characteristics, especially the material
constitutive relationship in high deformation condition are
not fully considered by the existing methods. In addition, the
simulation results of commonly used Deform-2D FE software
are usually not consistent with the experiments because of
their weak capability for non-linear problems. In this paper, a
finite element method involving Johnson-Cook material model
and fracture criterion was used to simulate the serrated chip
formation during high speed machining using commercial FE
software ABAQUS which can in principle handle such
strongly non-linear problems and allow the definition of
complex contact conditions. By using above method for FE
simulation, the chip morphology during high speed machining
of AISI 1045 hardened steel was accurately predicted and the
effects of rake angle on the chip morphology and cutting
force were discussed.

Index Terms—finite element simulation, high speed
machining, serrated chip, chip formation, hardened steel

A . Material Model
For the simulation of chip morphology and cutting force,
a Johnson-Cook model was used. This model is a strain rate
and temperature dependent[7-8] visco-plastic material model
which describes the relationship of stress, strain, strain rate
and temperature. It is suitable for problems where the strain
rate varies over a large range (102s”1 to 106s”1), and the
temperature changes due to plastic deformation caused by
thermal softening. This model uses the following equivalent
flow stress:

II. CHIP MORPHOLOGY SIMULATION

I. INTRODUCTION
As an advanced manufacturing technology which has
been developed rapidly in more than last ten years, high
speed machining can provide high efficiency of production
and low cost, as well as improve the quality of machined
surface. In addition, it can remove the difficult-to-cut materials
with high hardness. High speed machining technology is
widely applied in many industrial fields such as aeronautics
and astronautics, automobile, mould, light industry, etc. One
of the most important differences on cutting mechanics
between high speed machining and conventional machining
is that in high speed machining, a serrated chip is most often
generated which affects nearly every aspect of high speed
machining process, such as cutting force[1], cutting
temperature[2], cutting tool wear[3]and life and machined
surface quality[4]. Therefore, it is necessary to investigate
and to predict the formation of serrated chip and the effect
of chip morphology on vibration of cutting force, and their
relationship with workpiece material and machining
condition. At present, the published researches on prediction
of serrated chip formation have focused on the theoretical
modeling and the finite element simulation[5-6]. High speed
machining is a strongly non-linear and complex contact
© 2011 AMAE

DOI: 01.IJPIE.02.01.572

Where  is the equivalent stress,  is the equivalent plastic



strain,  is the plastic strain rate,  0 is the reference strain
rate (1.0s-1), T0 is the room temperature, Tmelt is the melting
temperature, A is the initial yield stress (MPa), B is the
hardening modulus, n is the work-hardening exponent, C is
a coefficient dependent on the strain rate (MPa), and m is
the thermal softening
coefficient. The Johnson-Cook parameter values used to
simulate the behaviour of AISI 1045 workpiece are specified
in Table I.
28
AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011
TABLE II
JOHNSON-COOK DAMAGE LAW PARAMETERS OF
AISI -1045

TABLE I
JOHNSON-COOK BEHAVIOUR LAW PARAMETERS OF AISI10 45

The material constants for Johnson-Cook model are
identified through high strain rate deformation tests using
split Hopkinson’s bar.Moreover, the material deformation
in primary shear zone during high speed machining is a typical
deformation process at high strain rate. Therefore, JohnsonCook model is used to simulate the chip morphology and
cutting force during high speed machining.

C. Friction Model
In this paper, the finite element simulation is found based
on the friction modeling of Coulomb Law.

B. Chip Fracture Criterion
In order to simulate the separation between chip and
workpiece, a dynamic failure model was used for the JohnsonCook model in ABAQUS/Explicit which is suitable only for
high strain-rate deformation of metals. The Johnson-Cook
dynamic failure model is based on the value of the equivalent
plastic strain at element integration points. The failure is
assumed to occur when the damage parameter D exceeds 1.
This is a physical criterion. The damage parameter D is defined
as follows:

where 

pl

Where  f is the friction stress,

 is the friction coefficient,

 n is the normal stress,  s is the limited shear stress of
the material.
Here, a surface contact model in ABAQUS/Explicit was used
to simulate the contact between chip and tool. The friction
coefficients of cohesive and flow area are 1 and 0.27
respectively[9]. The ABAQUS can estimate the
contact type based on the actual contact stress and select
proper friction model.

is the increment of equivalent plastic strain,

D. Finite Element Modeling of High Speed Machining

 fpl is the strain at failure, and the summation is performed
over all increments in the analysis. The strain at failure 

pl
f

is

assumed to be dependent on the nondimensional plastic strain



rate  pl /  0 , the dimensionless pressure-deviatoric stress
ratio p / q (where p is the pressure stress and q is the Mises
stress),
and
the
non-dimensional
temperatureˆ  T  T  / Tmelt  T0  which is defined earlier in the
Johnson-Cook hardening model. The dependence of
is
assumed to be separable and is the following relation[7]:

Figure 1. 2D finite element model building of orthogonal cutting

The workpiece was discretized using 4-node bilinear
elements with reduced integration (CPE4R). In order to obtain
a better astringency at the original stage of finite element
simulation, the mesh was oriented at a specified angle to the
cutting plane. The 2D orthogonal cutting modeling is shown
in Fig.1. The mesh division of the workpiece into 80×12
elements was performed. The mesh division of the tool into
58×25 was performed when the rake angle is -10°. The
simulation and following experiment were carried out in the
same cutting conditions.

where d1  d 5 are failure parameters measured at or below


the transition temperature T , and  0 is the reference strain
rate. The values of
are specified in Table II when the
Johnson-Cook dynamic failure model was defined.

III. EXPERIMENT OF HIGH SPEED MACHINING
A . Experimental Material
AISI 1045 steel was selected as the experiment material.
The hardness HRC45 required was obtained by quenching
© 2011 AMAE

DOI: 01.IJPIE.02.01.572

29
AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011
with 850 in 70minutes and tempering with 430 in 5 hours. The
high speed machining experiment was carried out on CA6140
lathe using insert carbide tool (YT15) under dry cutting
condition. The cutting forces were measured by a YDX- 9702
turning dynamometer, as seen in Fig.2. The assembly is shown
in Fig.3.

II COMPARISON BETWEEN SIMULATION AND
EXPERIMENT
The comparisons between the predicted serrated chip
morphology of FE simulation and the experimental results
with three different rake angles are shown in Fig.5, Fig.6 and
Fig.7 respectively.

Figure 2. Workpiece, cutting tool and dynamometer installation

Figure 5. Comparison between experimental and modeling serrate
chip morphology when tool rake angle is -10°

Figure 3. Workpiece, cutting tool and dynamometer installation

B. Experiment Process
In order to get higher linear cutting speed, the workpieces
with larger diameter were adopted. The steel ingots were
machined into cylinders with diameter 153mm and thickness
2.5mm, as shown in Fig.3. Then heat treatment was used to
get proper hardness. The orthogonal high speed cutting was
carried out in lathe under dry cutting condition. The tool was
replaced in time to make sure that the tool tip remains sharp
enough. Different tool angles were adopted. The cutting
parameters are as follows: cutting thickness is 0.2mm, cutting
width is 2.5mm, cutting speed is 433m/min, tool rake angles
are -10°, 0° and 10° respectively. The chips formed with
different cutting parameters were set vertically into the mixture
of epoxy resin and curing agent. After sanding, polishing
and eroding, chip morphology and microstructure were
observed and measured by using a Neuphot- optical
microscope. The metallographic specimen is shown in Fig.4.

Figure 4.

© 2011 AMAE

DOI: 01.IJPIE.02.01. 572

Figure 6. Comparison between experimental and modeling serrate
chip morphology when tool rake angle is 0°

Figure 7. Comparison between experimental and modeling serrate
chip morphology when tool rake angle is 10°

Figure 8. Comparison between experimental and simulated
sawtooth
degree under different tool rake angles

Metallurgical sample

30
AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011

Figure11. Curve of main cutting force when tool rake angle is 0°
during simulation

Figure 9. Comparison between experimental and simulated space
of sawteeth under different tool rake angles

As seen in these figures, the effect of rake angle on chip
morphology is significant, specially, serrated chip is formed
easily when when use a negative rake angle. Generally, the
sawtooth degree G S and the space between sawteeth P can
describe the morphology and deformation of serrated chip
qualitatively[9,10]. is defined as follows:

GS and P can be measured in the method shown in Fig.5,

and their relationship with the tool rake angles are shown in
Fig.8 and Fig.9 respectively. The comparisons show that simulation results are well consistent with the experiments and
the sawtooth degree decreases with increasing tool rake
angle when the cutting speed and feed are fixed. During the
experimental process, the clear adiabatic shear bands were
found inside the serrated chips (see Fig.6), which indicates
that the main reason to generate serrated chip is the occurrence of adiabatic shear instability in the primary shear zone.
As shown in Fig.10, Fig.11 and Fig.12, the tool rake angle has
a main influence on the cutting force and the values of main
cutting force decreases with increasing tool rake angle. It
also can be seen that the cutting forces start to increase
since the tool acts on the workpiece and get in a regular
vibration when the cutting process is steady. It is noted that
the vibration frequency of cutting forces is consistent with
that of sawtooth formation and the vibration amplitude of
the main cutting force increases with the increase of
sawtooth degree. These phenomena indicate that the serrated chip formation results in a regular vibration of cutting
forces.

Figure 12

Curve of main cutting force when tool rake angle is 10°
during simulation

Fig.13 is the comparision of average cutting forces
between the simulation and experiments. The contrast curves
show that the simulation results are well consistent with the
experiments and the average cutting forces decrease with
increasing the rake angle, which further indicate that the
methods for FE simulation presented in this paper is feasible.
According to the FE simulation, the cutting process can be
optimized by choosing proper parameters.

Figure 13. Comparison between experimental and simulated
average main cutting force under different tool rake angles

Figure 10 Curve of main cutting force when tool rake angleis -10°
during simulation

© 2011 AMAE

DOI: 01.IJPIE.02.01.572

31
AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011
CONCLUSIONS

REFERENCES

The aim of the present work is to simulate the chip
morphology and cutting forces during high speed machining
of AISI 1045 hardened steel by using Johnson-Cook material
model based on commercial FE software ABAQUS. A physical
fracture criterion suited to high deformation condition and a
dynamic failure model in ABAQUS/Explicit to carry out the
separation between chip and workpiece were utilized. The
effects of rake angle on the chip morphology and cutting
force werediscussed and testified by high speed machining
experiments. The investigation indicates that the simulation
results are well consistent with the experiments. The serrated
chip comes out during high speed machining of AISI 1045
hardened steel. The sawtooth degree, cutting forces and the
space between sawteeth increase with decreasing tool rake
angle when the other cutting conditions are fixed. Therefore,
the FE simulation method presented in this paper can be
used to predict the chip formation and cutting force accurately
during high speed machining of hardened steel.

[1] G. Sutter, A. Molinari, “Analysis of the cutting force
components and friction in high speed machining,” J. Manuf.
Sci. Eng. vol.127, pp. 245-250, 2005.
[2] G. Sutter, N. Ranc, “Temperature fields in a chip during
high-speed orthogonal cutting-An experimental
investigation,” Inter. J. Machine Tools Manuf. vol.47,pp.15071517, 2007.
[3] Z.N. Farhat, “Wear mechanism of CBN cutting tool during
high-speed machining of mold steel,” Mater. Sci. Eng.
vol.A361, pp.100-110, 2003.
[4] T.I. El-Wardany, H.A. Kishawy, and M.A. Elbestawi,
“Surface integrity of die material in high speed hard
machining, Part I: micrographical analysis,” J. Manuf. Sci.
Eng. vol. 122, pp.620-631, 2000.
[5] Sung-Han Rhim, Soo-Ik Oh, “Prediction of serrated chip
formation in metal cutting process with new flow stress model
for AISI 1045 steel,” J. Mater. Process. Technol. vol.171,
pp.417-422, 2006.
[6] T.J.Burns, M.A.Davies, “On repeated adiabatic shear band
formation during high-speed machining,” Inter. J. Plasticity,
vol.18, pp.487-506, 2002.
[7] T.Mabrouki, J.-F.Rigal, “A contribution to a qualitative
understanding of thermo-mechanical effects during chip
formation in hard turning,”J. Mater. Process. Technol.
vol.176, pp.214-221,2006.
[8] F.Klocke, H.-W.Raedt, and S.Hoppe, “2D-FEM simulation
of the orthogonal high speed cutting process,” Machining
Science and Technology, vol. 5 (3), pp.323-340,2001.
[9] M.A.Davies, A.L.Cooke, and E.R.Larsen, “High Bandwidth
Thermal Microscopy of machining AISI 1045 Steel,” CIRP
Annals-Manufacturing Technology, vol. 54 (1), pp.63-66, 2005.
[10]M.A.Davies, Q.Cao, and A.L.Cooks et al, “On the
measurement and prediction of temperature fileds in
machining AISI 1045 Steel,”CIRP Annals-Manufacturing
Technology, vol. 52 (1), pp. 77-80,2003.

ACKNOWLEDGMENT
This research is sponsored by the China Natural Science
Foundation(No.50875033) and by the Natural Science Key
Foundation of Tianjin (No.08JCZDJC18400)and by Tianjin
Key Laboratory of High Speed Cutting &Precision
Machining.

© 2011 AMAE

DOI: 01.IJPIE.02.01. 572

32

More Related Content

What's hot

Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...IJMER
 
Research paper published ijsrms_process optimization using doe_edm_javed muja...
Research paper published ijsrms_process optimization using doe_edm_javed muja...Research paper published ijsrms_process optimization using doe_edm_javed muja...
Research paper published ijsrms_process optimization using doe_edm_javed muja...vishwajeet potdar
 
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steelEffectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steeleSAT Journals
 
Artigo inox parâmetros 304
Artigo inox parâmetros   304Artigo inox parâmetros   304
Artigo inox parâmetros 304Dejean Machado
 
To analyses the effects of turning parameters on
To analyses the effects of turning parameters onTo analyses the effects of turning parameters on
To analyses the effects of turning parameters oneSAT Publishing House
 
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...IJERA Editor
 
To analyses the effects of turning parameters on material removal rate of ais...
To analyses the effects of turning parameters on material removal rate of ais...To analyses the effects of turning parameters on material removal rate of ais...
To analyses the effects of turning parameters on material removal rate of ais...eSAT Journals
 
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050paperpublications3
 
Optimization of hard part turning of bohler k 110 steel with multiple perform...
Optimization of hard part turning of bohler k 110 steel with multiple perform...Optimization of hard part turning of bohler k 110 steel with multiple perform...
Optimization of hard part turning of bohler k 110 steel with multiple perform...IAEME Publication
 
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...IJAEMSJORNAL
 
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...IRJET Journal
 
Vibration control of newly designed Tool and Tool-Holder for internal treadi...
Vibration control of newly designed Tool and Tool-Holder for  internal treadi...Vibration control of newly designed Tool and Tool-Holder for  internal treadi...
Vibration control of newly designed Tool and Tool-Holder for internal treadi...IJMER
 

What's hot (18)

m
mm
m
 
Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...
 
Research paper published ijsrms_process optimization using doe_edm_javed muja...
Research paper published ijsrms_process optimization using doe_edm_javed muja...Research paper published ijsrms_process optimization using doe_edm_javed muja...
Research paper published ijsrms_process optimization using doe_edm_javed muja...
 
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steelEffectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
 
Ijetr042192
Ijetr042192Ijetr042192
Ijetr042192
 
G045063944
G045063944G045063944
G045063944
 
CASTING PARAMETERS
CASTING  PARAMETERSCASTING  PARAMETERS
CASTING PARAMETERS
 
Artigo inox parâmetros 304
Artigo inox parâmetros   304Artigo inox parâmetros   304
Artigo inox parâmetros 304
 
To analyses the effects of turning parameters on
To analyses the effects of turning parameters onTo analyses the effects of turning parameters on
To analyses the effects of turning parameters on
 
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...
Surface Topology Evaluation of P20 Steel by Multipass Cutting Strategy in Wir...
 
To analyses the effects of turning parameters on material removal rate of ais...
To analyses the effects of turning parameters on material removal rate of ais...To analyses the effects of turning parameters on material removal rate of ais...
To analyses the effects of turning parameters on material removal rate of ais...
 
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050
Finite Element Modelling of Chip Formation in Orthogonal Machining for AISI 1050
 
Ijebea14 225
Ijebea14 225Ijebea14 225
Ijebea14 225
 
Optimization of hard part turning of bohler k 110 steel with multiple perform...
Optimization of hard part turning of bohler k 110 steel with multiple perform...Optimization of hard part turning of bohler k 110 steel with multiple perform...
Optimization of hard part turning of bohler k 110 steel with multiple perform...
 
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...
Friction Stir Welding of Similar Metals by Taguchi Optimization Technique -A ...
 
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...
 
715 2216-1-pb
715 2216-1-pb715 2216-1-pb
715 2216-1-pb
 
Vibration control of newly designed Tool and Tool-Holder for internal treadi...
Vibration control of newly designed Tool and Tool-Holder for  internal treadi...Vibration control of newly designed Tool and Tool-Holder for  internal treadi...
Vibration control of newly designed Tool and Tool-Holder for internal treadi...
 

Viewers also liked

Application of CAD and SLA Method in Dental Prosthesis
Application of CAD and SLA Method in Dental ProsthesisApplication of CAD and SLA Method in Dental Prosthesis
Application of CAD and SLA Method in Dental ProsthesisIDES Editor
 
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann Method
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann MethodNumerical Simulation of Gaseous Microflows by Lattice Boltzmann Method
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann MethodIDES Editor
 
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color Images
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color ImagesReduced Ordering Based Approach to Impulsive Noise Suppression in Color Images
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color ImagesIDES Editor
 
PV Hybrid System with DSTATCOM for Residential Applications
PV Hybrid System with DSTATCOM for Residential ApplicationsPV Hybrid System with DSTATCOM for Residential Applications
PV Hybrid System with DSTATCOM for Residential ApplicationsIDES Editor
 
Optimal and Power Aware BIST for Delay Testing of System-On-Chip
Optimal and Power Aware BIST for Delay Testing of System-On-ChipOptimal and Power Aware BIST for Delay Testing of System-On-Chip
Optimal and Power Aware BIST for Delay Testing of System-On-ChipIDES Editor
 
Kueh teow kung fu
Kueh teow kung fuKueh teow kung fu
Kueh teow kung fuMas Linda
 
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
 

Viewers also liked (7)

Application of CAD and SLA Method in Dental Prosthesis
Application of CAD and SLA Method in Dental ProsthesisApplication of CAD and SLA Method in Dental Prosthesis
Application of CAD and SLA Method in Dental Prosthesis
 
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann Method
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann MethodNumerical Simulation of Gaseous Microflows by Lattice Boltzmann Method
Numerical Simulation of Gaseous Microflows by Lattice Boltzmann Method
 
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color Images
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color ImagesReduced Ordering Based Approach to Impulsive Noise Suppression in Color Images
Reduced Ordering Based Approach to Impulsive Noise Suppression in Color Images
 
PV Hybrid System with DSTATCOM for Residential Applications
PV Hybrid System with DSTATCOM for Residential ApplicationsPV Hybrid System with DSTATCOM for Residential Applications
PV Hybrid System with DSTATCOM for Residential Applications
 
Optimal and Power Aware BIST for Delay Testing of System-On-Chip
Optimal and Power Aware BIST for Delay Testing of System-On-ChipOptimal and Power Aware BIST for Delay Testing of System-On-Chip
Optimal and Power Aware BIST for Delay Testing of System-On-Chip
 
Kueh teow kung fu
Kueh teow kung fuKueh teow kung fu
Kueh teow kung fu
 
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...
 

Similar to Finite Element Simulation and Experiment of Chip Formation Process during High Speed Machining of AISI 1045 Hardened Steel

NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGY
NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGYNUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGY
NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGYIAEME Publication
 
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust Approach
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust ApproachIRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust Approach
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust ApproachIRJET Journal
 
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...IJRES Journal
 
Finite element modeling of the broaching process of inconel718
Finite element modeling of the broaching process of inconel718Finite element modeling of the broaching process of inconel718
Finite element modeling of the broaching process of inconel718Phuong Dx
 
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die Bending
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die Bending
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET Journal
 
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET-  	  Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...IRJET-  	  Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...IRJET Journal
 
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...IJRES Journal
 
IRJET- Modeling and Design Analysis of Die Profile of Extrusion of Square...
IRJET-  	  Modeling and Design Analysis of Die Profile of Extrusion of Square...IRJET-  	  Modeling and Design Analysis of Die Profile of Extrusion of Square...
IRJET- Modeling and Design Analysis of Die Profile of Extrusion of Square...IRJET Journal
 
Optimization of design parameters for V-bending process using response surfac...
Optimization of design parameters for V-bending process using response surfac...Optimization of design parameters for V-bending process using response surfac...
Optimization of design parameters for V-bending process using response surfac...217Saiteja
 
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool SteelANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steelijtsrd
 
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESSSPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESSIAEME Publication
 
A Review on Impression Die Forging
A Review on Impression Die ForgingA Review on Impression Die Forging
A Review on Impression Die ForgingIRJET Journal
 
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...ijsrd.com
 
IRJET- Improving the Performance of M42 Twist Drill Tool
IRJET- Improving the Performance of M42 Twist Drill ToolIRJET- Improving the Performance of M42 Twist Drill Tool
IRJET- Improving the Performance of M42 Twist Drill ToolIRJET Journal
 
Do31541546
Do31541546Do31541546
Do31541546IJMER
 
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...Analysis residual stress e distortions in t joint fillet welds-tso liang teng...
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...ags1963
 
Analysis and simulation of chip formation & thermal effects on tool life usin...
Analysis and simulation of chip formation & thermal effects on tool life usin...Analysis and simulation of chip formation & thermal effects on tool life usin...
Analysis and simulation of chip formation & thermal effects on tool life usin...IAEME Publication
 

Similar to Finite Element Simulation and Experiment of Chip Formation Process during High Speed Machining of AISI 1045 Hardened Steel (20)

NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGY
NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGYNUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGY
NUMERICAL AND EXPERIMENTAL VALIDATION OF CHIP MORPHOLOGY
 
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust Approach
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust ApproachIRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust Approach
IRJET- Review Paper on of Single Point Cutting Tool with Taguchi Robust Approach
 
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...
Finite Element Simulation Analysis of Three-Dimensional Cutting Process Based...
 
V36130135
V36130135V36130135
V36130135
 
Chipbreaking
ChipbreakingChipbreaking
Chipbreaking
 
Finite element modeling of the broaching process of inconel718
Finite element modeling of the broaching process of inconel718Finite element modeling of the broaching process of inconel718
Finite element modeling of the broaching process of inconel718
 
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die Bending
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die Bending
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die Bending
 
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET-  	  Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...IRJET-  	  Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
 
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...
Simulation and Analysis of 45 Steel Cutting Force On Turning Cutting Process ...
 
IRJET- Modeling and Design Analysis of Die Profile of Extrusion of Square...
IRJET-  	  Modeling and Design Analysis of Die Profile of Extrusion of Square...IRJET-  	  Modeling and Design Analysis of Die Profile of Extrusion of Square...
IRJET- Modeling and Design Analysis of Die Profile of Extrusion of Square...
 
Optimization of design parameters for V-bending process using response surfac...
Optimization of design parameters for V-bending process using response surfac...Optimization of design parameters for V-bending process using response surfac...
Optimization of design parameters for V-bending process using response surfac...
 
5206
52065206
5206
 
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool SteelANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
 
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESSSPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
 
A Review on Impression Die Forging
A Review on Impression Die ForgingA Review on Impression Die Forging
A Review on Impression Die Forging
 
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...
A Review on Effect of Process Parameters on Tensile Strength of Friction Stir...
 
IRJET- Improving the Performance of M42 Twist Drill Tool
IRJET- Improving the Performance of M42 Twist Drill ToolIRJET- Improving the Performance of M42 Twist Drill Tool
IRJET- Improving the Performance of M42 Twist Drill Tool
 
Do31541546
Do31541546Do31541546
Do31541546
 
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...Analysis residual stress e distortions in t joint fillet welds-tso liang teng...
Analysis residual stress e distortions in t joint fillet welds-tso liang teng...
 
Analysis and simulation of chip formation & thermal effects on tool life usin...
Analysis and simulation of chip formation & thermal effects on tool life usin...Analysis and simulation of chip formation & thermal effects on tool life usin...
Analysis and simulation of chip formation & thermal effects on tool life usin...
 

More from IDES Editor

Power System State Estimation - A Review
Power System State Estimation - A ReviewPower System State Estimation - A Review
Power System State Estimation - A ReviewIDES Editor
 
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
 
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
 
Line Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCLine Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
 
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
 
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingAssessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
 
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
 
Selfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsSelfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
 
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
 
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
 
Cloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkCloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkIDES Editor
 
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetGenetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
 
Enhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyEnhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
 
Low Energy Routing for WSN’s
Low Energy Routing for WSN’sLow Energy Routing for WSN’s
Low Energy Routing for WSN’sIDES Editor
 
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
 
Rotman Lens Performance Analysis
Rotman Lens Performance AnalysisRotman Lens Performance Analysis
Rotman Lens Performance AnalysisIDES Editor
 
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesBand Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
 
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
 
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
 
Mental Stress Evaluation using an Adaptive Model
Mental Stress Evaluation using an Adaptive ModelMental Stress Evaluation using an Adaptive Model
Mental Stress Evaluation using an Adaptive ModelIDES Editor
 

More from IDES Editor (20)

Power System State Estimation - A Review
Power System State Estimation - A ReviewPower System State Estimation - A Review
Power System State Estimation - A Review
 
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
 
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
 
Line Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFCLine Losses in the 14-Bus Power System Network using UPFC
Line Losses in the 14-Bus Power System Network using UPFC
 
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...
 
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric ModelingAssessing Uncertainty of Pushover Analysis to Geometric Modeling
Assessing Uncertainty of Pushover Analysis to Geometric Modeling
 
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...
 
Selfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive ThresholdsSelfish Node Isolation & Incentivation using Progressive Thresholds
Selfish Node Isolation & Incentivation using Progressive Thresholds
 
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...
 
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...
 
Cloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability FrameworkCloud Security and Data Integrity with Client Accountability Framework
Cloud Security and Data Integrity with Client Accountability Framework
 
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetGenetic Algorithm based Layered Detection and Defense of HTTP Botnet
Genetic Algorithm based Layered Detection and Defense of HTTP Botnet
 
Enhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through SteganographyEnhancing Data Storage Security in Cloud Computing Through Steganography
Enhancing Data Storage Security in Cloud Computing Through Steganography
 
Low Energy Routing for WSN’s
Low Energy Routing for WSN’sLow Energy Routing for WSN’s
Low Energy Routing for WSN’s
 
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...
 
Rotman Lens Performance Analysis
Rotman Lens Performance AnalysisRotman Lens Performance Analysis
Rotman Lens Performance Analysis
 
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesBand Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images
 
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...
 
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...
 
Mental Stress Evaluation using an Adaptive Model
Mental Stress Evaluation using an Adaptive ModelMental Stress Evaluation using an Adaptive Model
Mental Stress Evaluation using an Adaptive Model
 

Recently uploaded

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxdhanalakshmis0310
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseAnaAcapella
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17Celine George
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and ModificationsMJDuyan
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 

Recently uploaded (20)

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 

Finite Element Simulation and Experiment of Chip Formation Process during High Speed Machining of AISI 1045 Hardened Steel

  • 1. AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011 Finite Element Simulation and Experiment of Chip Formation Process during High Speed Machining of AISI 1045 Hardened Steel C.Z.Duan1, 2 , T.Dou1, Y.J.Cai 2, Y.Y.Li 1 1 Dalian University of Technology/School of Mechanical Engineering/Institute of Die and Mould, Dalian , China Email: dcz71@163.com 2 Tianjin University of Technology and Education/Tianjin Key Laboratory of High Speed Cutting & Precision Machining, Tianjin , China Abstract—As an advanced manufacturing technology which has been developed rapidly in recent years, high speed machining is widely applied in many industries. The chip formation during high speed machining is a complicated material deformation and removing process. In research area of high speed machining, the prediction of chip morphology is a hot and difficult topic. A finite element method based on the software ABAOUS which involves Johnson-Cook material model and fracture criterion was used to simulate the serrated chip morphology and cutting force during high speed machining of AISI 1045 hardened steel. The serrated chip morphology and cutting force were observed and measured by high speed machining experiment of AISI 1045 hardened steel. The effects of rake angle on cutting force, sawtooth degree and space between sawteeth were discussed. The investigation indicates that the simulation results are consistent with the experiments and this finite element simulation method presented can be used to predict the chip morphology and cutting force accurately during high speed machining of hardened steel. process. But these characteristics, especially the material constitutive relationship in high deformation condition are not fully considered by the existing methods. In addition, the simulation results of commonly used Deform-2D FE software are usually not consistent with the experiments because of their weak capability for non-linear problems. In this paper, a finite element method involving Johnson-Cook material model and fracture criterion was used to simulate the serrated chip formation during high speed machining using commercial FE software ABAQUS which can in principle handle such strongly non-linear problems and allow the definition of complex contact conditions. By using above method for FE simulation, the chip morphology during high speed machining of AISI 1045 hardened steel was accurately predicted and the effects of rake angle on the chip morphology and cutting force were discussed. Index Terms—finite element simulation, high speed machining, serrated chip, chip formation, hardened steel A . Material Model For the simulation of chip morphology and cutting force, a Johnson-Cook model was used. This model is a strain rate and temperature dependent[7-8] visco-plastic material model which describes the relationship of stress, strain, strain rate and temperature. It is suitable for problems where the strain rate varies over a large range (102s”1 to 106s”1), and the temperature changes due to plastic deformation caused by thermal softening. This model uses the following equivalent flow stress: II. CHIP MORPHOLOGY SIMULATION I. INTRODUCTION As an advanced manufacturing technology which has been developed rapidly in more than last ten years, high speed machining can provide high efficiency of production and low cost, as well as improve the quality of machined surface. In addition, it can remove the difficult-to-cut materials with high hardness. High speed machining technology is widely applied in many industrial fields such as aeronautics and astronautics, automobile, mould, light industry, etc. One of the most important differences on cutting mechanics between high speed machining and conventional machining is that in high speed machining, a serrated chip is most often generated which affects nearly every aspect of high speed machining process, such as cutting force[1], cutting temperature[2], cutting tool wear[3]and life and machined surface quality[4]. Therefore, it is necessary to investigate and to predict the formation of serrated chip and the effect of chip morphology on vibration of cutting force, and their relationship with workpiece material and machining condition. At present, the published researches on prediction of serrated chip formation have focused on the theoretical modeling and the finite element simulation[5-6]. High speed machining is a strongly non-linear and complex contact © 2011 AMAE DOI: 01.IJPIE.02.01.572 Where  is the equivalent stress,  is the equivalent plastic   strain,  is the plastic strain rate,  0 is the reference strain rate (1.0s-1), T0 is the room temperature, Tmelt is the melting temperature, A is the initial yield stress (MPa), B is the hardening modulus, n is the work-hardening exponent, C is a coefficient dependent on the strain rate (MPa), and m is the thermal softening coefficient. The Johnson-Cook parameter values used to simulate the behaviour of AISI 1045 workpiece are specified in Table I. 28
  • 2. AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011 TABLE II JOHNSON-COOK DAMAGE LAW PARAMETERS OF AISI -1045 TABLE I JOHNSON-COOK BEHAVIOUR LAW PARAMETERS OF AISI10 45 The material constants for Johnson-Cook model are identified through high strain rate deformation tests using split Hopkinson’s bar.Moreover, the material deformation in primary shear zone during high speed machining is a typical deformation process at high strain rate. Therefore, JohnsonCook model is used to simulate the chip morphology and cutting force during high speed machining. C. Friction Model In this paper, the finite element simulation is found based on the friction modeling of Coulomb Law. B. Chip Fracture Criterion In order to simulate the separation between chip and workpiece, a dynamic failure model was used for the JohnsonCook model in ABAQUS/Explicit which is suitable only for high strain-rate deformation of metals. The Johnson-Cook dynamic failure model is based on the value of the equivalent plastic strain at element integration points. The failure is assumed to occur when the damage parameter D exceeds 1. This is a physical criterion. The damage parameter D is defined as follows: where  pl Where  f is the friction stress,  is the friction coefficient,  n is the normal stress,  s is the limited shear stress of the material. Here, a surface contact model in ABAQUS/Explicit was used to simulate the contact between chip and tool. The friction coefficients of cohesive and flow area are 1 and 0.27 respectively[9]. The ABAQUS can estimate the contact type based on the actual contact stress and select proper friction model. is the increment of equivalent plastic strain, D. Finite Element Modeling of High Speed Machining  fpl is the strain at failure, and the summation is performed over all increments in the analysis. The strain at failure  pl f is assumed to be dependent on the nondimensional plastic strain   rate  pl /  0 , the dimensionless pressure-deviatoric stress ratio p / q (where p is the pressure stress and q is the Mises stress), and the non-dimensional temperatureˆ  T  T  / Tmelt  T0  which is defined earlier in the Johnson-Cook hardening model. The dependence of is assumed to be separable and is the following relation[7]: Figure 1. 2D finite element model building of orthogonal cutting The workpiece was discretized using 4-node bilinear elements with reduced integration (CPE4R). In order to obtain a better astringency at the original stage of finite element simulation, the mesh was oriented at a specified angle to the cutting plane. The 2D orthogonal cutting modeling is shown in Fig.1. The mesh division of the workpiece into 80×12 elements was performed. The mesh division of the tool into 58×25 was performed when the rake angle is -10°. The simulation and following experiment were carried out in the same cutting conditions. where d1  d 5 are failure parameters measured at or below  the transition temperature T , and  0 is the reference strain rate. The values of are specified in Table II when the Johnson-Cook dynamic failure model was defined. III. EXPERIMENT OF HIGH SPEED MACHINING A . Experimental Material AISI 1045 steel was selected as the experiment material. The hardness HRC45 required was obtained by quenching © 2011 AMAE DOI: 01.IJPIE.02.01.572 29
  • 3. AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011 with 850 in 70minutes and tempering with 430 in 5 hours. The high speed machining experiment was carried out on CA6140 lathe using insert carbide tool (YT15) under dry cutting condition. The cutting forces were measured by a YDX- 9702 turning dynamometer, as seen in Fig.2. The assembly is shown in Fig.3. II COMPARISON BETWEEN SIMULATION AND EXPERIMENT The comparisons between the predicted serrated chip morphology of FE simulation and the experimental results with three different rake angles are shown in Fig.5, Fig.6 and Fig.7 respectively. Figure 2. Workpiece, cutting tool and dynamometer installation Figure 5. Comparison between experimental and modeling serrate chip morphology when tool rake angle is -10° Figure 3. Workpiece, cutting tool and dynamometer installation B. Experiment Process In order to get higher linear cutting speed, the workpieces with larger diameter were adopted. The steel ingots were machined into cylinders with diameter 153mm and thickness 2.5mm, as shown in Fig.3. Then heat treatment was used to get proper hardness. The orthogonal high speed cutting was carried out in lathe under dry cutting condition. The tool was replaced in time to make sure that the tool tip remains sharp enough. Different tool angles were adopted. The cutting parameters are as follows: cutting thickness is 0.2mm, cutting width is 2.5mm, cutting speed is 433m/min, tool rake angles are -10°, 0° and 10° respectively. The chips formed with different cutting parameters were set vertically into the mixture of epoxy resin and curing agent. After sanding, polishing and eroding, chip morphology and microstructure were observed and measured by using a Neuphot- optical microscope. The metallographic specimen is shown in Fig.4. Figure 4. © 2011 AMAE DOI: 01.IJPIE.02.01. 572 Figure 6. Comparison between experimental and modeling serrate chip morphology when tool rake angle is 0° Figure 7. Comparison between experimental and modeling serrate chip morphology when tool rake angle is 10° Figure 8. Comparison between experimental and simulated sawtooth degree under different tool rake angles Metallurgical sample 30
  • 4. AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011 Figure11. Curve of main cutting force when tool rake angle is 0° during simulation Figure 9. Comparison between experimental and simulated space of sawteeth under different tool rake angles As seen in these figures, the effect of rake angle on chip morphology is significant, specially, serrated chip is formed easily when when use a negative rake angle. Generally, the sawtooth degree G S and the space between sawteeth P can describe the morphology and deformation of serrated chip qualitatively[9,10]. is defined as follows: GS and P can be measured in the method shown in Fig.5, and their relationship with the tool rake angles are shown in Fig.8 and Fig.9 respectively. The comparisons show that simulation results are well consistent with the experiments and the sawtooth degree decreases with increasing tool rake angle when the cutting speed and feed are fixed. During the experimental process, the clear adiabatic shear bands were found inside the serrated chips (see Fig.6), which indicates that the main reason to generate serrated chip is the occurrence of adiabatic shear instability in the primary shear zone. As shown in Fig.10, Fig.11 and Fig.12, the tool rake angle has a main influence on the cutting force and the values of main cutting force decreases with increasing tool rake angle. It also can be seen that the cutting forces start to increase since the tool acts on the workpiece and get in a regular vibration when the cutting process is steady. It is noted that the vibration frequency of cutting forces is consistent with that of sawtooth formation and the vibration amplitude of the main cutting force increases with the increase of sawtooth degree. These phenomena indicate that the serrated chip formation results in a regular vibration of cutting forces. Figure 12 Curve of main cutting force when tool rake angle is 10° during simulation Fig.13 is the comparision of average cutting forces between the simulation and experiments. The contrast curves show that the simulation results are well consistent with the experiments and the average cutting forces decrease with increasing the rake angle, which further indicate that the methods for FE simulation presented in this paper is feasible. According to the FE simulation, the cutting process can be optimized by choosing proper parameters. Figure 13. Comparison between experimental and simulated average main cutting force under different tool rake angles Figure 10 Curve of main cutting force when tool rake angleis -10° during simulation © 2011 AMAE DOI: 01.IJPIE.02.01.572 31
  • 5. AMAE Int. J. on Production and Industrial Engineering, Vol. 02, No. 01, June 2011 CONCLUSIONS REFERENCES The aim of the present work is to simulate the chip morphology and cutting forces during high speed machining of AISI 1045 hardened steel by using Johnson-Cook material model based on commercial FE software ABAQUS. A physical fracture criterion suited to high deformation condition and a dynamic failure model in ABAQUS/Explicit to carry out the separation between chip and workpiece were utilized. The effects of rake angle on the chip morphology and cutting force werediscussed and testified by high speed machining experiments. The investigation indicates that the simulation results are well consistent with the experiments. The serrated chip comes out during high speed machining of AISI 1045 hardened steel. The sawtooth degree, cutting forces and the space between sawteeth increase with decreasing tool rake angle when the other cutting conditions are fixed. Therefore, the FE simulation method presented in this paper can be used to predict the chip formation and cutting force accurately during high speed machining of hardened steel. [1] G. Sutter, A. Molinari, “Analysis of the cutting force components and friction in high speed machining,” J. Manuf. Sci. Eng. vol.127, pp. 245-250, 2005. [2] G. Sutter, N. Ranc, “Temperature fields in a chip during high-speed orthogonal cutting-An experimental investigation,” Inter. J. Machine Tools Manuf. vol.47,pp.15071517, 2007. [3] Z.N. Farhat, “Wear mechanism of CBN cutting tool during high-speed machining of mold steel,” Mater. Sci. Eng. vol.A361, pp.100-110, 2003. [4] T.I. El-Wardany, H.A. Kishawy, and M.A. Elbestawi, “Surface integrity of die material in high speed hard machining, Part I: micrographical analysis,” J. Manuf. Sci. Eng. vol. 122, pp.620-631, 2000. [5] Sung-Han Rhim, Soo-Ik Oh, “Prediction of serrated chip formation in metal cutting process with new flow stress model for AISI 1045 steel,” J. Mater. Process. Technol. vol.171, pp.417-422, 2006. [6] T.J.Burns, M.A.Davies, “On repeated adiabatic shear band formation during high-speed machining,” Inter. J. Plasticity, vol.18, pp.487-506, 2002. [7] T.Mabrouki, J.-F.Rigal, “A contribution to a qualitative understanding of thermo-mechanical effects during chip formation in hard turning,”J. Mater. Process. Technol. vol.176, pp.214-221,2006. [8] F.Klocke, H.-W.Raedt, and S.Hoppe, “2D-FEM simulation of the orthogonal high speed cutting process,” Machining Science and Technology, vol. 5 (3), pp.323-340,2001. [9] M.A.Davies, A.L.Cooke, and E.R.Larsen, “High Bandwidth Thermal Microscopy of machining AISI 1045 Steel,” CIRP Annals-Manufacturing Technology, vol. 54 (1), pp.63-66, 2005. [10]M.A.Davies, Q.Cao, and A.L.Cooks et al, “On the measurement and prediction of temperature fileds in machining AISI 1045 Steel,”CIRP Annals-Manufacturing Technology, vol. 52 (1), pp. 77-80,2003. ACKNOWLEDGMENT This research is sponsored by the China Natural Science Foundation(No.50875033) and by the Natural Science Key Foundation of Tianjin (No.08JCZDJC18400)and by Tianjin Key Laboratory of High Speed Cutting &Precision Machining. © 2011 AMAE DOI: 01.IJPIE.02.01. 572 32