SlideShare a Scribd company logo
1 of 2
Download to read offline
Computational Fluid Dynamics
                               Assignment no. 6
                           Submission date – 13-4-2012

1. Consider a one-dimensional unsteady convection-diffusion problem in a domain
   of L = 1. Two separate cases are to be considered: (i) ρ = 1, Γ = 1, u = 1 and
   (ii) ρ = 1, Γ = 0.01, u = 3. The boundary conditions for the transported variable φ
   are: (i) x = 0, φ = 0, (ii) x = L, φ = 1. Assume that initially φ = 0.5 everywhere.
   Using the fully implicit formulation, solve for the distribution of φ within the domain
   for each case, as a function of time. Use ∆t = 0.1 and 30 control volumes.
   Implement both CDS and UDS for each case. Perform the calculations till the
   steady-state is reached. Compare your results, in both cases, with the exact
   solution once the steady-state is reached. You can plot the numerical results and
   the exact solution in the domain of interest for this purpose. Comment on the
   accuracy of the results, and on the suitability of CDS and UDS with respect to the
   cell Peclet number.
2. In a steady two-dimensional situation, the variable φ is governed by
   div (ρVφ) = div(Γgrad φ) + a − bφ,
   where ρ = 1, Γ = 1, a = 10, b = 2. The flow field is such that u = 1 and v = 4
   everywhere. Consider a square domain divided using control volumes of size ∆x
   = ∆y = 1. Use 20 control volumes in each direction. The boundary conditions are
   given as:
   (i) x = 0, φ = 100, (ii) x = L, φ = 0, (iii) y = 0, φ = 100, and (iv) y = L, φ = 0.
   Solve for the φ-field within this domain using
   (a) The CDS.
   (b) The UDS.
   (c) The hybrid scheme.
   In each case, present your results using filled contour plots of φ.
3. Consider a steady hydrodynamically fully-developed flow entering a two-
   dimensional channel formed by two horizontal flat plates. The vertical distance
   between the plates is h = 1. The plates are subjected to a constant temperature
   of 100, and the flow entering the channel is at a uniform temperature of 50. Thus,
   this is a hydrodynamically fully-developed but thermally developing problem. Let
   the length of the channel be L = 20. The velocity profile everywhere is given by u
   = 1.5(1 − 4y2), v = 0 where y is measured from the centerline of the channel. The
   steady flow energy equation neglecting viscous dissipation is given by
   div (ρcVT ) = div (k gradT ),
where the two-dimensional form is to be used. Use ρ = 1, c = 100, k = 1. Using
the Hybrid scheme, solve for the temperature field in the channel domain. Use a
uniform grid ∆x = ∆y = 0.1. Use the condition ∂T /∂x = 0 at the outflow boundary.
Plot the temperature profiles at various axial locations to demonstrate the
development of the temperature field. Additionally, try to do the following:
(a) From the numerical solution, determine the bulk mean temperature at each
axial location. You will need to employ an integration method to do this.
(b) Using the bulk mean temperature data, determine the heat transfer coefficient
at each axial location. You will need to use the expression
                                          T 
                                       k
                                          y 
                                              
                                             w
                                   h
                                       Tw  Tb

where Tw denotes the wall temperature and Tb is the bulk mean temperature.
Note that you will need a numerical prescription to evaluate the temperature
gradient at the wall.
(c) Convert the heat transfer coefficient data to Nusselt number data. Use the
definition
       h.Dh
Nu 
         k
Where Dh= 2h for this situation. Plot the Nusselt number as a function of the axial
distance, and see if the Nusselt number asymptotes to a constant value of 7.54.

More Related Content

What's hot

Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Mark Ryder
 
Algebra 2 unit 9.8
Algebra 2 unit 9.8Algebra 2 unit 9.8
Algebra 2 unit 9.8Mark Ryder
 
Application of Gauss,Green and Stokes Theorem
Application of Gauss,Green and Stokes TheoremApplication of Gauss,Green and Stokes Theorem
Application of Gauss,Green and Stokes TheoremSamiul Ehsan
 
4.6 use congruent triangles
4.6 use congruent triangles4.6 use congruent triangles
4.6 use congruent trianglesdetwilerr
 
Geometry unit 12.5
Geometry unit 12.5Geometry unit 12.5
Geometry unit 12.5Mark Ryder
 
Planetary Science Assignment Help
Planetary Science Assignment HelpPlanetary Science Assignment Help
Planetary Science Assignment HelpEdu Assignment Help
 
Geometry unit 12.2
Geometry unit 12.2Geometry unit 12.2
Geometry unit 12.2Mark Ryder
 
Example determining the tl length
Example determining the tl lengthExample determining the tl length
Example determining the tl lengthRahul Vyas
 
Geometry unit 12.1
Geometry unit 12.1Geometry unit 12.1
Geometry unit 12.1Mark Ryder
 
Algebra 2 unit 9.7
Algebra 2 unit 9.7Algebra 2 unit 9.7
Algebra 2 unit 9.7Mark Ryder
 
Triumph JEE Advanced Physics- Paper 1
Triumph JEE Advanced Physics- Paper 1Triumph JEE Advanced Physics- Paper 1
Triumph JEE Advanced Physics- Paper 1askiitians
 
Mit2 092 f09_lec11
Mit2 092 f09_lec11Mit2 092 f09_lec11
Mit2 092 f09_lec11Rahman Hakim
 
Conduction - Extended Surface - fins
Conduction - Extended Surface - finsConduction - Extended Surface - fins
Conduction - Extended Surface - finsvatsalpateln
 

What's hot (20)

Dipoleinshell
DipoleinshellDipoleinshell
Dipoleinshell
 
INPhO-2014-QP-Solutions
INPhO-2014-QP-SolutionsINPhO-2014-QP-Solutions
INPhO-2014-QP-Solutions
 
Physics Assignment Help
Physics Assignment HelpPhysics Assignment Help
Physics Assignment Help
 
Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5
 
Algebra 2 unit 9.8
Algebra 2 unit 9.8Algebra 2 unit 9.8
Algebra 2 unit 9.8
 
Application of Gauss,Green and Stokes Theorem
Application of Gauss,Green and Stokes TheoremApplication of Gauss,Green and Stokes Theorem
Application of Gauss,Green and Stokes Theorem
 
Sample Space And Events
Sample Space And EventsSample Space And Events
Sample Space And Events
 
4.6 use congruent triangles
4.6 use congruent triangles4.6 use congruent triangles
4.6 use congruent triangles
 
Geometry unit 12.5
Geometry unit 12.5Geometry unit 12.5
Geometry unit 12.5
 
Planetary Science Assignment Help
Planetary Science Assignment HelpPlanetary Science Assignment Help
Planetary Science Assignment Help
 
Geometry unit 12.2
Geometry unit 12.2Geometry unit 12.2
Geometry unit 12.2
 
Ch01 2
Ch01 2Ch01 2
Ch01 2
 
Example determining the tl length
Example determining the tl lengthExample determining the tl length
Example determining the tl length
 
Geometry unit 12.1
Geometry unit 12.1Geometry unit 12.1
Geometry unit 12.1
 
Algebra 2 unit 9.7
Algebra 2 unit 9.7Algebra 2 unit 9.7
Algebra 2 unit 9.7
 
Notes 4-7
Notes 4-7Notes 4-7
Notes 4-7
 
Triumph JEE Advanced Physics- Paper 1
Triumph JEE Advanced Physics- Paper 1Triumph JEE Advanced Physics- Paper 1
Triumph JEE Advanced Physics- Paper 1
 
Mit2 092 f09_lec11
Mit2 092 f09_lec11Mit2 092 f09_lec11
Mit2 092 f09_lec11
 
Conduction - Extended Surface - fins
Conduction - Extended Surface - finsConduction - Extended Surface - fins
Conduction - Extended Surface - fins
 
Chelly unit 2
Chelly unit 2Chelly unit 2
Chelly unit 2
 

Viewers also liked

Assignment simple algorithm
Assignment simple algorithm Assignment simple algorithm
Assignment simple algorithm parabajinkya0070
 
Solution algorithms for assignment problems
Solution algorithms for assignment problemsSolution algorithms for assignment problems
Solution algorithms for assignment problemsparabajinkya0070
 
Pressure velocity coupling
Pressure velocity couplingPressure velocity coupling
Pressure velocity couplingparabajinkya0070
 
2D CFD Code Based on MATLAB- As Good As FLUENT!
2D CFD Code Based on MATLAB- As Good As FLUENT!2D CFD Code Based on MATLAB- As Good As FLUENT!
2D CFD Code Based on MATLAB- As Good As FLUENT!Jiannan Tan
 

Viewers also liked (6)

Assignment simple algorithm
Assignment simple algorithm Assignment simple algorithm
Assignment simple algorithm
 
Rapid prototyping
Rapid prototypingRapid prototyping
Rapid prototyping
 
Solution algorithms for assignment problems
Solution algorithms for assignment problemsSolution algorithms for assignment problems
Solution algorithms for assignment problems
 
Pressure velocity coupling
Pressure velocity couplingPressure velocity coupling
Pressure velocity coupling
 
2D CFD Code Based on MATLAB- As Good As FLUENT!
2D CFD Code Based on MATLAB- As Good As FLUENT!2D CFD Code Based on MATLAB- As Good As FLUENT!
2D CFD Code Based on MATLAB- As Good As FLUENT!
 
Introduction to cad cam
Introduction to cad camIntroduction to cad cam
Introduction to cad cam
 

Similar to Fvm for convection diffusion2

Solution Manual for Heat Convection second edition by Latif M. Jiji
Solution Manual for Heat Convection second edition by Latif M. JijiSolution Manual for Heat Convection second edition by Latif M. Jiji
Solution Manual for Heat Convection second edition by Latif M. Jijiphysicsbook
 
Graphical methods for 2 d heat transfer
Graphical methods for 2 d heat transfer Graphical methods for 2 d heat transfer
Graphical methods for 2 d heat transfer Arun Sarasan
 
Numerical methods for 2 d heat transfer
Numerical methods for 2 d heat transferNumerical methods for 2 d heat transfer
Numerical methods for 2 d heat transferArun Sarasan
 
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdf
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdfHMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdf
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdfRaviShankar269655
 
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...ezedin4
 
heat diffusion equation.ppt
heat diffusion equation.pptheat diffusion equation.ppt
heat diffusion equation.ppt056JatinGavel
 
heat diffusion equation.ppt
heat diffusion equation.pptheat diffusion equation.ppt
heat diffusion equation.ppt056JatinGavel
 
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdfRaviShankar269655
 
Mit2 092 f09_lec20
Mit2 092 f09_lec20Mit2 092 f09_lec20
Mit2 092 f09_lec20Rahman Hakim
 
Numerical Analysis of heat transfer in a channel Wit in clined baffles
Numerical Analysis of heat transfer in a channel Wit in clined bafflesNumerical Analysis of heat transfer in a channel Wit in clined baffles
Numerical Analysis of heat transfer in a channel Wit in clined bafflesinventy
 
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFTNonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFTMichaelRabinovich
 
Heat Conduction Simulation with FDM
Heat Conduction Simulation with FDMHeat Conduction Simulation with FDM
Heat Conduction Simulation with FDMXueer Zhang
 
Fluid Mechanics Exercises
Fluid Mechanics ExercisesFluid Mechanics Exercises
Fluid Mechanics ExercisesMaths Tutoring
 

Similar to Fvm for convection diffusion2 (20)

Heat Convection by Latif M. Jiji - solutions
Heat Convection by Latif M. Jiji - solutionsHeat Convection by Latif M. Jiji - solutions
Heat Convection by Latif M. Jiji - solutions
 
Solution Manual for Heat Convection second edition by Latif M. Jiji
Solution Manual for Heat Convection second edition by Latif M. JijiSolution Manual for Heat Convection second edition by Latif M. Jiji
Solution Manual for Heat Convection second edition by Latif M. Jiji
 
Graphical methods for 2 d heat transfer
Graphical methods for 2 d heat transfer Graphical methods for 2 d heat transfer
Graphical methods for 2 d heat transfer
 
Numerical methods for 2 d heat transfer
Numerical methods for 2 d heat transferNumerical methods for 2 d heat transfer
Numerical methods for 2 d heat transfer
 
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdf
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdfHMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdf
HMT CONVhdhdhdhdhdhdh hv vhvh vECTION 1.pdf
 
numerical.ppt
numerical.pptnumerical.ppt
numerical.ppt
 
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...
Latif M. Jiji (auth.) - Solutions Manual for Heat Conduction (Chap1-2-3) (200...
 
Implicit schemes for wave models
Implicit schemes for wave modelsImplicit schemes for wave models
Implicit schemes for wave models
 
heat diffusion equation.ppt
heat diffusion equation.pptheat diffusion equation.ppt
heat diffusion equation.ppt
 
heat diffusion equation.ppt
heat diffusion equation.pptheat diffusion equation.ppt
heat diffusion equation.ppt
 
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf
2- C?>,cllblm,cvblkjbvclkbjlcjblkjlbkjcvlkbjonduction.pdf
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 
Mit2 092 f09_lec20
Mit2 092 f09_lec20Mit2 092 f09_lec20
Mit2 092 f09_lec20
 
Numerical Analysis of heat transfer in a channel Wit in clined baffles
Numerical Analysis of heat transfer in a channel Wit in clined bafflesNumerical Analysis of heat transfer in a channel Wit in clined baffles
Numerical Analysis of heat transfer in a channel Wit in clined baffles
 
QMC: Transition Workshop - Density Estimation by Randomized Quasi-Monte Carlo...
QMC: Transition Workshop - Density Estimation by Randomized Quasi-Monte Carlo...QMC: Transition Workshop - Density Estimation by Randomized Quasi-Monte Carlo...
QMC: Transition Workshop - Density Estimation by Randomized Quasi-Monte Carlo...
 
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFTNonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
 
Heat Conduction Simulation with FDM
Heat Conduction Simulation with FDMHeat Conduction Simulation with FDM
Heat Conduction Simulation with FDM
 
Fluid Mechanics Exercises
Fluid Mechanics ExercisesFluid Mechanics Exercises
Fluid Mechanics Exercises
 
Aaallleeetttaas
AaallleeetttaasAaallleeetttaas
Aaallleeetttaas
 

More from parabajinkya0070

More from parabajinkya0070 (8)

Cnc hardware
Cnc hardwareCnc hardware
Cnc hardware
 
Introduction to nc
Introduction to ncIntroduction to nc
Introduction to nc
 
Graphics standards
Graphics standardsGraphics standards
Graphics standards
 
Cnc, dnc & adaptive control
Cnc, dnc & adaptive controlCnc, dnc & adaptive control
Cnc, dnc & adaptive control
 
Assignments cnc programming
Assignments cnc programmingAssignments cnc programming
Assignments cnc programming
 
Introduction to cfd 2
Introduction to cfd 2Introduction to cfd 2
Introduction to cfd 2
 
Introduction to cfd
Introduction to cfdIntroduction to cfd
Introduction to cfd
 
Mathematical behaviour of pde's
Mathematical behaviour of pde'sMathematical behaviour of pde's
Mathematical behaviour of pde's
 

Recently uploaded

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 

Recently uploaded (20)

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 

Fvm for convection diffusion2

  • 1. Computational Fluid Dynamics Assignment no. 6 Submission date – 13-4-2012 1. Consider a one-dimensional unsteady convection-diffusion problem in a domain of L = 1. Two separate cases are to be considered: (i) ρ = 1, Γ = 1, u = 1 and (ii) ρ = 1, Γ = 0.01, u = 3. The boundary conditions for the transported variable φ are: (i) x = 0, φ = 0, (ii) x = L, φ = 1. Assume that initially φ = 0.5 everywhere. Using the fully implicit formulation, solve for the distribution of φ within the domain for each case, as a function of time. Use ∆t = 0.1 and 30 control volumes. Implement both CDS and UDS for each case. Perform the calculations till the steady-state is reached. Compare your results, in both cases, with the exact solution once the steady-state is reached. You can plot the numerical results and the exact solution in the domain of interest for this purpose. Comment on the accuracy of the results, and on the suitability of CDS and UDS with respect to the cell Peclet number. 2. In a steady two-dimensional situation, the variable φ is governed by div (ρVφ) = div(Γgrad φ) + a − bφ, where ρ = 1, Γ = 1, a = 10, b = 2. The flow field is such that u = 1 and v = 4 everywhere. Consider a square domain divided using control volumes of size ∆x = ∆y = 1. Use 20 control volumes in each direction. The boundary conditions are given as: (i) x = 0, φ = 100, (ii) x = L, φ = 0, (iii) y = 0, φ = 100, and (iv) y = L, φ = 0. Solve for the φ-field within this domain using (a) The CDS. (b) The UDS. (c) The hybrid scheme. In each case, present your results using filled contour plots of φ. 3. Consider a steady hydrodynamically fully-developed flow entering a two- dimensional channel formed by two horizontal flat plates. The vertical distance between the plates is h = 1. The plates are subjected to a constant temperature of 100, and the flow entering the channel is at a uniform temperature of 50. Thus, this is a hydrodynamically fully-developed but thermally developing problem. Let the length of the channel be L = 20. The velocity profile everywhere is given by u = 1.5(1 − 4y2), v = 0 where y is measured from the centerline of the channel. The steady flow energy equation neglecting viscous dissipation is given by div (ρcVT ) = div (k gradT ),
  • 2. where the two-dimensional form is to be used. Use ρ = 1, c = 100, k = 1. Using the Hybrid scheme, solve for the temperature field in the channel domain. Use a uniform grid ∆x = ∆y = 0.1. Use the condition ∂T /∂x = 0 at the outflow boundary. Plot the temperature profiles at various axial locations to demonstrate the development of the temperature field. Additionally, try to do the following: (a) From the numerical solution, determine the bulk mean temperature at each axial location. You will need to employ an integration method to do this. (b) Using the bulk mean temperature data, determine the heat transfer coefficient at each axial location. You will need to use the expression  T   k  y    w h Tw  Tb where Tw denotes the wall temperature and Tb is the bulk mean temperature. Note that you will need a numerical prescription to evaluate the temperature gradient at the wall. (c) Convert the heat transfer coefficient data to Nusselt number data. Use the definition h.Dh Nu  k Where Dh= 2h for this situation. Plot the Nusselt number as a function of the axial distance, and see if the Nusselt number asymptotes to a constant value of 7.54.