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Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
       Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1517-1522
        Parametric Study of the Hot Rolling Process Using FEM
           Shailendra Dwivedi 1 Dr. Geeta Agnihotri 2 Dr. K.K.Pathak, 3
    1. (Ph.D Scholar, Mechanical Engineering Department, Maulana Azad National Institute of Technology,
                                                   Bhopal)
      2. (Professor, Mechanical Engineering Department, Maulana Azad National of Technology, Bhopal)
 3. (Professor, Civil Engineering Department, National Institute of Technical Teacher’s Training and Research,
                                                   Bhopal)

ABSTRACT
Numerical Simulation has become a quite                     There are many studies concentrating on evaluating
important tool in the Manufacturing Industries.             the temperature field during the hot rolling process.
Rolling process is one of the most popular                  For example, Hollander (1970) has used a one
processes in manufacturing in order to make                 dimensional FED model and the assumption of
different parts with a long range variety of                homogenous deformation to estimate the
dimensions. In this procedure the internal raw              temperature distribution during the hot strip rolling.
material transform into desirable shape by at               Samarasekara et.al. (1986) have predicted the
least rolls. In comparison with other methods for           temperature distribution in the hot strip rolled strip
analysing the rolling process, the finite element           rolled metal as well as in the work roll. In their work
method is the most practical and accurate one, so           the effects of process parameters on the temperature
a coupled thermo elastic plastic three dimensional          field have been evaluated. Chen et.al (1993)
finite element model is considered to analyse the           calculated the temperature and strain fields by
hot rolling process. In present research the                coupled FEM and FDM code. The kinetic of iron
influence of Modelling and Simulation of various            oxidation during hot rolling has also been
parameters such as geometry of the slab,                    investigated in their paper. The temperature
temperature, friction between work-rolls and                variations in work roll have been considered in a few
slab, percentage of thickness reduction, rotational         papers. Sluzalec (1984) has utilised a two
speed of work-roll have been studied on process.            dimensional finite element method to predict the
Outputs like temperature distribution, stress,              temperature distribution during hot rolling and
strain and strain rate fields, roll force have been         Teseng et.al (1990) have estimated the temperature
obtained through different inputs. The outputs of           variations in the work roll in order to evaluate the
finite element simulation are used to investigate           thermal stress distribution in the rolls. Mori er.al
the effects of parameters on product integrity and          (1982) has developed a finite element method, using
mechanical properties.                                      the assumptions of rigid-plastic and slightly
                                                            compressible material to predict the velocity field
Keywords - FEM, Hot Rolling, Mathematical                   during isothermal steady and unsteady plane strain
Model, Thermo mechanical Behaviour of Strip.                rolling conditions. Hwu and Lenard (1988) have
                                                            used finite element formulation for flat rolling
I. INTRODUCTION                                             process to assess the effects of work roll deformation
          The rolling process is one of the most            and various friction conditions on the strain field.
popular processes in manufacturing industries in that       Yarita et.al (1988) have analysed the plane strain
almost 80% of metallic equipment has been exposed           rolling process utilisation an elastic plastic finite
to rolling, at least one time in their production           element model. They have attempted to predict the
period. Among all kinds of the rolling processes, the       stress and strain distribution within the deformation
flat rolling is the most practical one. In industrial       zone using an updated Lagrangian code. Hwnag and
countries, about 40-60% of rolling products are             Joun (1992) have assessed the hot strip rolling
produced with this type of rolling. [3]                     process. The temperature distribution in the rolled
          Rolling is a fabricating process in which the     metal and in the work roll and strain field have been
metal, plastic, paper, glass, etc. is passed through a      determined in their work. Serajzadeh et.al (2002)
pair (on pairs) of rolls. In flat rolling the final shape   investigated strain in homogeneity in hot strip
of the product is either classes as sheet (typically        rolling using two dimensional unsteady sate finite
thickness less than 3 mm, also called “strip”) or plate     element method .Duan and Sheppeard (2004)
(typically more than 3mm). Flat rolling is classified       investigated the influence of the constitute equation
according to the temperature of the metal rolled. If        on the FE modelling of the rolling of aluminium
the temperature of the metal is above its                   alloy.
recrystallization temperature, then the process is
termed as hot rolling and if the temperature of the                  The contact problem has not much been
metal is below its recrystallization temperature, the       considered in past literature. However, because of its
process is termed as cold rolling.[6]                       non-linear nature and its complex conditions, it is


                                                                                                  1517 | P a g e
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
       Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1517-1522
very important to consider it particularly. Combining       Reduction                       10%
the finite element and boundary element methods,            Temperature                     300°C
Shangwu et.al (1999) carried out the 3D modelling           Roll Speed                      40rpm
of hot roll for both rigid and flexible roll cases.         Roll Diameter                   495mm
Cavaliver et.al (2001) did research on the influence        Roll Width                      2000mm
of parameters such as coefficient of friction and
temperature on the distribution of contact stresses.
Duan and Sheppard (2002) besides studying the
effect of three friction models, considered the
contact pressure distribution. They concluded that
contact pressure distribution, as a convergence
criterion, is greatly sensitive to the number of
elements. Arif et.al. (2004) simulated roll and strip
interaction for cold rolling process. The main object
of this study is to predict roll stresses and
deformation behaviour by considering both
mechanical and thermal loads. Studying the
influence of number of elements on the tangential
and normal components of contact stresses, they
showed that the contact stresses are much sensitive
to the number of contact elements. Phaniraj
et.al.(2005) compared the contact pressure of the roll
surface for five rolling stands of a steel strip.
                                                            Fig.1. FEM Model
          Although the finite element method is a
very powerful tool for simulation of the engineering        The deformation material Al 2024 .its flow stress is
problems, the FEM simulation of non-linear problem          expresses as Norton- Hoff Equation:
is a time consuming procedure. Nowadays, steel and
aluminium manufacturing industries go ahead
towards online fault detection in the rolling process
                                                            (1)
with the aim of elimination of these faults during the
                                                            Where ko , β, are the material constant , m the strain
manufacturing process. For this to be achieved,
                                                            rate sensitively index, n the strain-hardening index,
faster prediction methods for predicting the
behaviour of the slab under rolling are needed. In the        the equivalent strain,      the equivalent strain rate
present paper, the hot rolling process of strip is          and       is the samll constant 0.001 for Al 2024.
                                                                  o
simulated with Abaqus 6.10 Software. The rolling is
assumed to be rigid and for the deformable                  ko = 216.29 MPa, β = -0.00524, m = 0.11, n =
aluminium strip, the thermo elastoplastic analysis,
through 2D sequential transient thermal and                 0.0198,      o   = 0.001 (for material Al 2024)
incremental lagrangian analysis, is carried out. This
way the effect of different process parameters such         Mechanical and thermal property parameters used in
as initial thickness of the strip, rolling speed and roll   this simulation are given in table 2 &3.
diameter, thickness reduction are studied.
                                                            Table 2. Physical properties for Al 2024
Finite Element Modelling: A 2-D rolling model               Temperature       Heat capacity Thermal
has been developed to simulate a single pass of the         (oc)              (J/kg. n)         conductivity
hot rolling process for aluminium alloy using the                                               (W/m. K)
Abaqus 6.10 Software .the rolling parameters use in         14                930               143.4
this work is shown in table 1 and the finite element        280               990               167.1
model is shown as fig 1. Due to the symmetric               306               1010              170.2
nature of flat rolling only a quarter of the slab is        410               1050              174.1
modelled.
                                                            Table 3. Thermal Properties
Table 1. Rolling Parameters.                                Heat transfer between 30
Parameter                    Value                          slab and air
                                                            Hear transfer between 25
Width                          1800mm                       slab and roll
Length                         500mm
Inlet Thickness                580mm                        The slab model is elastoplastic and young’s modulus
Outlet Thickness               522mm                        70 Gpa and passion ratio is 0.33.

                                                                                                   1518 | P a g e
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
       Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1517-1522
The friction model is coulomb friction model:             The model developed in this investigation is
                                                          validated by comparing the model predictions of
(2)                                                       rolling force, temperature and strain with theoretical
Where µ is the coefficient of friction and P is the       results of Duan and Sheppard[2] (fig 2-4) .table 4 &
normal pressure [4].                                      5 shows the rolling parameters using for validation.

Cook and Maccrum proposed the following formulas          Table4: Rolling parameters
for roll separating force P and torque M.                    Parameters                 Value
                                                             Inlet Thickness            50mm
                                                             Outlet Thickness           47.3mm
                                                             Width                      1050mm
(3)
                                                             Roll Radius                465mm
                                                             Temperature                283̊C
(4)                                                          Roll Speed                 10rpm
Where ,                                                      Reduction                  9.43%
Cp, Ip: geometrical coefficient used for the force
calculation.                                              Table 5: Thermal properties:
Cg , Ig : geometrical coefficient used for the torque        Heat transfer between 0.01
calculation.                                                 slab and air
                                                             Heat transfer between 25
The value for these geometrical factors Cp,Ip,Cg and         slab and roll
Ig can be determine from reference[5].

During the rolling process, the temperature
distribution in the strip and the work roll can be
calculated using the governing partial differential
equation shown in the following equation:



(5)
Where
ρ (kgm-3) is the density, C (jkg-1c-1) is the specific
heat, k (Wm-1C-1) is the thermal conductivity and
(Wm-3) is a heat generation term representing the
heat released due to plastic work.

The thermal boundary conditions in the model are
defined as:                                               Fig 2: Strain Histories of rolling Single pass at the
                                                          center point for rolling force per unit width.
At the centreline of the strip, symmetry condition is
assumed



(6)

And at the contact interface between the strip and
the work roll, an interfacial heat transfer coefficient
is assumed:



                                         (7)
In this paper a FEM with 16000 elements and 18954
nodes is used with Lagrange incremental solver
Verification of the results:
                                                          Fig 3: Comparison of the histories.


                                                                                                1519 | P a g e
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
       Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1517-1522




Fig4: Comparison of the histories for rolling
temperature.
                                                          Fig7.Roll force versus roll speed.
Discussion of Results: The rolling process is
                                                                    The temperature history of the slab surface
analysed in terms of the rolling speed, the rolling
diameter, reduction and temperature of the slab.          for different rolling speed is shown in fig8.the
                                                          temperature distribution of the slab center versus the
Rolling Speed: Fig 5. Shows the effect of rolling         time is also shown in fig9.
                                                                    It is evident from Fig 8, that increasing
speed on strain rate. it is seen that increasing the
rolling speed increases the strain rate .                 rolling speed results in shorter contact time which
                                                          decreases heat flow from the strip to the roll and
                                                          environment. On the other hand, increasing rolling
Fig 6&7. Shows the effect of rolling speed on roll
                                                          speed can results in more strain rate in the
force. It is seen that increasing the rolling speed
increases the roll force. This is because of increasing   deformation region together with more internal heat
                                                          generation due to rate of plastic-work.
the strain rate results in hardening which causes
                                                                    Therefore it is observed that the minimum
material to be more resistant to the deformation.
                                                          temperature of the slab surface is decrease with
                                                          decreasing of rolling speed with this behaviour.
                                                          From Fig 9, it can be seen that the temperature of the
                                                          centre of the slab increases with time until it reaches
                                                          its maximum. This is because of heat generation due
                                                          to the rate of plastic deformation. Thus it can be that
                                                          the maximum temperature of the slab surface is not
                                                          very much influenced by rolling speed.




Fig5.Strain rate versus roll speed




Fig6.Roll force versus time with variation of roll        Fig 8.Temperature on surface versus time with
speed.                                                    variation of rolling speed.


                                                                                                1520 | P a g e
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
       Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1517-1522




                                                          Fig 11.Temperature on surface versus time with
Fig 9. Temperature on center versus time with             variation of reduction.
variation of rolling speed.

Roll diameter: Fig10.shows the effect of roll
diameter on roll force. It is seen that increasing the
roll diameter increases the roll force. This is because
of increase in the strain rate results in hardening
which causes material to be more resistant to the
deformation.




                                                          Fig 12. Temperature on center versus time with
                                                          variation of reduction.

                                                                    From these figures, it can be seen that the
                                                          minimum temperature of the top surface does not
                                                          vary largely as the difference in reductions of
                                                          dimensions. It can be explained that more reduction
                                                          results in longer contact length, which increases heat
Fig10. Roll force versus roll diameter.                   flow from the strip to the roll. On the other hand,
                                                          high reduction in constant rolling speed can result in
Reduction: The temperature history of the slab            more strain and strain rate in the deformation region
surface for different thickness reductions is shown in    together with more internal heat generation due to
Fig. 11. The temperature distribution of the slab         rate of plastic work. So we can observe the
center versus the time is also shown in Fig .12.


                                                                                               1521 | P a g e
Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of
        Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                     Vol. 2, Issue 5, September- October 2012, pp.1517-1522
maximum temperature on the slab surface is increase            neural network. J. Mater process. Technol.
with increasing of reduction.                                  209, (1920-1935)
                                                         [4]   Xincai Tan, Xiu-Tian Yan, Neal P. Juster,
Temperature: Fig .13. Shows the effect of rolling              Srinivasan Raghunathan, Jian Wang.2008
speed on roll force. It is seen that increasing the            Dynamic friction model and its application
rolling temperature decrease the roll force. This is           in flat rolling. Journal of materials
because of increasing the flow stress of material.             processing technology. 2 0 7 (222–234)
                                                         [5]   Ginzburg, Vladimir, Ballas, Robert.
                                                               “Fundamentals       of      flat    rolling
                                                               manufacturing engineering and materials
                                                               processing”. 2000
                                                         [6]   Zhous. S.X. 2003”An integrated Model for
                                                               hot rolling of steel strips”, Journal of
                                                               Material Processing Technology 134 (338-
                                                               351).




Fig 13. Roll force versus time with variation of
temperature.

Conclusion:
          Through the simulation of the hot flat
rolling of aluminum alloy 2024, the following
conclusions may be presented:
Temperature of the strip, during rolling process,
depends on several parameters such as interface heat
transfer coefficient, rolling speed, and the amount of
thickness reduction.
Roll force of rolling process depends on several
parameters such as temperature, roll diameter and
rolling speed.
All of the parameters on the Hot Rolling Process
have been optimized.

References
  [1]    Duan, Sheppard, 2002. Three dimensional
         thermal Mechanical Coupled Simulations
         during hot strip rolling of AA3003. J.Mech.
         Sci. 44, (2155-2172).
  [2]    Duan, X. , Sheppard , T. , 2004. The
         influence of the constitutive equation on the
         simulation during hot rolling process. J.
         Mater. Process. Technil. 150, (100-106)
  [3]    Shaheni, A.R. , Setayeshi, S. , Nadamaie, S.
         A., Asadi, M.A., Rezaie, S. 2009 prediction
         of influence parameters on the hot rolling
         process using finite element method and



                                                                                          1522 | P a g e

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Im2515171522

  • 1. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 Parametric Study of the Hot Rolling Process Using FEM Shailendra Dwivedi 1 Dr. Geeta Agnihotri 2 Dr. K.K.Pathak, 3 1. (Ph.D Scholar, Mechanical Engineering Department, Maulana Azad National Institute of Technology, Bhopal) 2. (Professor, Mechanical Engineering Department, Maulana Azad National of Technology, Bhopal) 3. (Professor, Civil Engineering Department, National Institute of Technical Teacher’s Training and Research, Bhopal) ABSTRACT Numerical Simulation has become a quite There are many studies concentrating on evaluating important tool in the Manufacturing Industries. the temperature field during the hot rolling process. Rolling process is one of the most popular For example, Hollander (1970) has used a one processes in manufacturing in order to make dimensional FED model and the assumption of different parts with a long range variety of homogenous deformation to estimate the dimensions. In this procedure the internal raw temperature distribution during the hot strip rolling. material transform into desirable shape by at Samarasekara et.al. (1986) have predicted the least rolls. In comparison with other methods for temperature distribution in the hot strip rolled strip analysing the rolling process, the finite element rolled metal as well as in the work roll. In their work method is the most practical and accurate one, so the effects of process parameters on the temperature a coupled thermo elastic plastic three dimensional field have been evaluated. Chen et.al (1993) finite element model is considered to analyse the calculated the temperature and strain fields by hot rolling process. In present research the coupled FEM and FDM code. The kinetic of iron influence of Modelling and Simulation of various oxidation during hot rolling has also been parameters such as geometry of the slab, investigated in their paper. The temperature temperature, friction between work-rolls and variations in work roll have been considered in a few slab, percentage of thickness reduction, rotational papers. Sluzalec (1984) has utilised a two speed of work-roll have been studied on process. dimensional finite element method to predict the Outputs like temperature distribution, stress, temperature distribution during hot rolling and strain and strain rate fields, roll force have been Teseng et.al (1990) have estimated the temperature obtained through different inputs. The outputs of variations in the work roll in order to evaluate the finite element simulation are used to investigate thermal stress distribution in the rolls. Mori er.al the effects of parameters on product integrity and (1982) has developed a finite element method, using mechanical properties. the assumptions of rigid-plastic and slightly compressible material to predict the velocity field Keywords - FEM, Hot Rolling, Mathematical during isothermal steady and unsteady plane strain Model, Thermo mechanical Behaviour of Strip. rolling conditions. Hwu and Lenard (1988) have used finite element formulation for flat rolling I. INTRODUCTION process to assess the effects of work roll deformation The rolling process is one of the most and various friction conditions on the strain field. popular processes in manufacturing industries in that Yarita et.al (1988) have analysed the plane strain almost 80% of metallic equipment has been exposed rolling process utilisation an elastic plastic finite to rolling, at least one time in their production element model. They have attempted to predict the period. Among all kinds of the rolling processes, the stress and strain distribution within the deformation flat rolling is the most practical one. In industrial zone using an updated Lagrangian code. Hwnag and countries, about 40-60% of rolling products are Joun (1992) have assessed the hot strip rolling produced with this type of rolling. [3] process. The temperature distribution in the rolled Rolling is a fabricating process in which the metal and in the work roll and strain field have been metal, plastic, paper, glass, etc. is passed through a determined in their work. Serajzadeh et.al (2002) pair (on pairs) of rolls. In flat rolling the final shape investigated strain in homogeneity in hot strip of the product is either classes as sheet (typically rolling using two dimensional unsteady sate finite thickness less than 3 mm, also called “strip”) or plate element method .Duan and Sheppeard (2004) (typically more than 3mm). Flat rolling is classified investigated the influence of the constitute equation according to the temperature of the metal rolled. If on the FE modelling of the rolling of aluminium the temperature of the metal is above its alloy. recrystallization temperature, then the process is termed as hot rolling and if the temperature of the The contact problem has not much been metal is below its recrystallization temperature, the considered in past literature. However, because of its process is termed as cold rolling.[6] non-linear nature and its complex conditions, it is 1517 | P a g e
  • 2. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 very important to consider it particularly. Combining Reduction 10% the finite element and boundary element methods, Temperature 300°C Shangwu et.al (1999) carried out the 3D modelling Roll Speed 40rpm of hot roll for both rigid and flexible roll cases. Roll Diameter 495mm Cavaliver et.al (2001) did research on the influence Roll Width 2000mm of parameters such as coefficient of friction and temperature on the distribution of contact stresses. Duan and Sheppard (2002) besides studying the effect of three friction models, considered the contact pressure distribution. They concluded that contact pressure distribution, as a convergence criterion, is greatly sensitive to the number of elements. Arif et.al. (2004) simulated roll and strip interaction for cold rolling process. The main object of this study is to predict roll stresses and deformation behaviour by considering both mechanical and thermal loads. Studying the influence of number of elements on the tangential and normal components of contact stresses, they showed that the contact stresses are much sensitive to the number of contact elements. Phaniraj et.al.(2005) compared the contact pressure of the roll surface for five rolling stands of a steel strip. Fig.1. FEM Model Although the finite element method is a very powerful tool for simulation of the engineering The deformation material Al 2024 .its flow stress is problems, the FEM simulation of non-linear problem expresses as Norton- Hoff Equation: is a time consuming procedure. Nowadays, steel and aluminium manufacturing industries go ahead towards online fault detection in the rolling process (1) with the aim of elimination of these faults during the Where ko , β, are the material constant , m the strain manufacturing process. For this to be achieved, rate sensitively index, n the strain-hardening index, faster prediction methods for predicting the behaviour of the slab under rolling are needed. In the the equivalent strain, the equivalent strain rate present paper, the hot rolling process of strip is and is the samll constant 0.001 for Al 2024. o simulated with Abaqus 6.10 Software. The rolling is assumed to be rigid and for the deformable ko = 216.29 MPa, β = -0.00524, m = 0.11, n = aluminium strip, the thermo elastoplastic analysis, through 2D sequential transient thermal and 0.0198, o = 0.001 (for material Al 2024) incremental lagrangian analysis, is carried out. This way the effect of different process parameters such Mechanical and thermal property parameters used in as initial thickness of the strip, rolling speed and roll this simulation are given in table 2 &3. diameter, thickness reduction are studied. Table 2. Physical properties for Al 2024 Finite Element Modelling: A 2-D rolling model Temperature Heat capacity Thermal has been developed to simulate a single pass of the (oc) (J/kg. n) conductivity hot rolling process for aluminium alloy using the (W/m. K) Abaqus 6.10 Software .the rolling parameters use in 14 930 143.4 this work is shown in table 1 and the finite element 280 990 167.1 model is shown as fig 1. Due to the symmetric 306 1010 170.2 nature of flat rolling only a quarter of the slab is 410 1050 174.1 modelled. Table 3. Thermal Properties Table 1. Rolling Parameters. Heat transfer between 30 Parameter Value slab and air Hear transfer between 25 Width 1800mm slab and roll Length 500mm Inlet Thickness 580mm The slab model is elastoplastic and young’s modulus Outlet Thickness 522mm 70 Gpa and passion ratio is 0.33. 1518 | P a g e
  • 3. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 The friction model is coulomb friction model: The model developed in this investigation is validated by comparing the model predictions of (2) rolling force, temperature and strain with theoretical Where µ is the coefficient of friction and P is the results of Duan and Sheppard[2] (fig 2-4) .table 4 & normal pressure [4]. 5 shows the rolling parameters using for validation. Cook and Maccrum proposed the following formulas Table4: Rolling parameters for roll separating force P and torque M. Parameters Value Inlet Thickness 50mm Outlet Thickness 47.3mm Width 1050mm (3) Roll Radius 465mm Temperature 283̊C (4) Roll Speed 10rpm Where , Reduction 9.43% Cp, Ip: geometrical coefficient used for the force calculation. Table 5: Thermal properties: Cg , Ig : geometrical coefficient used for the torque Heat transfer between 0.01 calculation. slab and air Heat transfer between 25 The value for these geometrical factors Cp,Ip,Cg and slab and roll Ig can be determine from reference[5]. During the rolling process, the temperature distribution in the strip and the work roll can be calculated using the governing partial differential equation shown in the following equation: (5) Where ρ (kgm-3) is the density, C (jkg-1c-1) is the specific heat, k (Wm-1C-1) is the thermal conductivity and (Wm-3) is a heat generation term representing the heat released due to plastic work. The thermal boundary conditions in the model are defined as: Fig 2: Strain Histories of rolling Single pass at the center point for rolling force per unit width. At the centreline of the strip, symmetry condition is assumed (6) And at the contact interface between the strip and the work roll, an interfacial heat transfer coefficient is assumed: (7) In this paper a FEM with 16000 elements and 18954 nodes is used with Lagrange incremental solver Verification of the results: Fig 3: Comparison of the histories. 1519 | P a g e
  • 4. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 Fig4: Comparison of the histories for rolling temperature. Fig7.Roll force versus roll speed. Discussion of Results: The rolling process is The temperature history of the slab surface analysed in terms of the rolling speed, the rolling diameter, reduction and temperature of the slab. for different rolling speed is shown in fig8.the temperature distribution of the slab center versus the Rolling Speed: Fig 5. Shows the effect of rolling time is also shown in fig9. It is evident from Fig 8, that increasing speed on strain rate. it is seen that increasing the rolling speed increases the strain rate . rolling speed results in shorter contact time which decreases heat flow from the strip to the roll and environment. On the other hand, increasing rolling Fig 6&7. Shows the effect of rolling speed on roll speed can results in more strain rate in the force. It is seen that increasing the rolling speed increases the roll force. This is because of increasing deformation region together with more internal heat generation due to rate of plastic-work. the strain rate results in hardening which causes Therefore it is observed that the minimum material to be more resistant to the deformation. temperature of the slab surface is decrease with decreasing of rolling speed with this behaviour. From Fig 9, it can be seen that the temperature of the centre of the slab increases with time until it reaches its maximum. This is because of heat generation due to the rate of plastic deformation. Thus it can be that the maximum temperature of the slab surface is not very much influenced by rolling speed. Fig5.Strain rate versus roll speed Fig6.Roll force versus time with variation of roll Fig 8.Temperature on surface versus time with speed. variation of rolling speed. 1520 | P a g e
  • 5. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 Fig 11.Temperature on surface versus time with Fig 9. Temperature on center versus time with variation of reduction. variation of rolling speed. Roll diameter: Fig10.shows the effect of roll diameter on roll force. It is seen that increasing the roll diameter increases the roll force. This is because of increase in the strain rate results in hardening which causes material to be more resistant to the deformation. Fig 12. Temperature on center versus time with variation of reduction. From these figures, it can be seen that the minimum temperature of the top surface does not vary largely as the difference in reductions of dimensions. It can be explained that more reduction results in longer contact length, which increases heat Fig10. Roll force versus roll diameter. flow from the strip to the roll. On the other hand, high reduction in constant rolling speed can result in Reduction: The temperature history of the slab more strain and strain rate in the deformation region surface for different thickness reductions is shown in together with more internal heat generation due to Fig. 11. The temperature distribution of the slab rate of plastic work. So we can observe the center versus the time is also shown in Fig .12. 1521 | P a g e
  • 6. Shailendra Dwivedi, Dr. Geeta Agnihotri, Dr. K.K.Pathak / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1517-1522 maximum temperature on the slab surface is increase neural network. J. Mater process. Technol. with increasing of reduction. 209, (1920-1935) [4] Xincai Tan, Xiu-Tian Yan, Neal P. Juster, Temperature: Fig .13. Shows the effect of rolling Srinivasan Raghunathan, Jian Wang.2008 speed on roll force. It is seen that increasing the Dynamic friction model and its application rolling temperature decrease the roll force. This is in flat rolling. Journal of materials because of increasing the flow stress of material. processing technology. 2 0 7 (222–234) [5] Ginzburg, Vladimir, Ballas, Robert. “Fundamentals of flat rolling manufacturing engineering and materials processing”. 2000 [6] Zhous. S.X. 2003”An integrated Model for hot rolling of steel strips”, Journal of Material Processing Technology 134 (338- 351). Fig 13. Roll force versus time with variation of temperature. Conclusion: Through the simulation of the hot flat rolling of aluminum alloy 2024, the following conclusions may be presented: Temperature of the strip, during rolling process, depends on several parameters such as interface heat transfer coefficient, rolling speed, and the amount of thickness reduction. Roll force of rolling process depends on several parameters such as temperature, roll diameter and rolling speed. All of the parameters on the Hot Rolling Process have been optimized. References [1] Duan, Sheppard, 2002. Three dimensional thermal Mechanical Coupled Simulations during hot strip rolling of AA3003. J.Mech. Sci. 44, (2155-2172). [2] Duan, X. , Sheppard , T. , 2004. The influence of the constitutive equation on the simulation during hot rolling process. J. Mater. Process. Technil. 150, (100-106) [3] Shaheni, A.R. , Setayeshi, S. , Nadamaie, S. A., Asadi, M.A., Rezaie, S. 2009 prediction of influence parameters on the hot rolling process using finite element method and 1522 | P a g e