CFD Simulation & Post Processing
Budget: $250 – $750 SGD
Jet Impingement System using CFD Analysis on ANSYS
❗️Submit in 2 days time❗️
1. 1 Simulation left :Parameter study for coolant temperature (Refer to point 6)
2. Post-processing
3. Write out Report
Will share a Onedrive file, containing previous works and current work done so far
✅ = Completed
Only Point 6,7 remains
Project:
1. Define Clear Objectives ✅
Goal should be to improve or validate the previous CFD model and provide insights that were not explored in the previous work. Objectives could include:
- Optimizing the separation distance (jet-to-target distance) for better thermal performance
- Exploring different turbulence models to improve simulation accuracy
- Analyzing the effect of flow rate and coolant temperature on heat transfer performance.
- Identifying stagnation zones and recirculation patterns in the fluid flow.
2. Review Previous CFD Work ✅
- Understand the previous CFD setup, including boundary conditions, mesh settings, turbulence models, and assumptions.
- Identify limitations in the previous CFD work, such as high uncertainty in experimental validation, limited exploration of turbulence models, or lack of transient or parametric studies.
- Focus on gaps that can be addressed, such as turbulence model comparison or separation distance optimization.
3. Set Up CFD Model ✅
- Use ANSYS Fluent replicate the previous CFD model.
- Use the same geometry as the previous work (6x6 nozzle array, 0.5mm nozzles, etc.).
- Start with the same mesh settings (hexahedral elements for the plate, tetrahedral for the rest) and perform a mesh independence study to ensure results are not mesh-dependent.
- Use the same boundary conditions as the previous work (e.g., inlet velocity, outlet pressure, heat load on the target surface).
4. Perform Turbulence Model Comparison ✅
- Compare different turbulence models to see which one provides the best agreement with experimental data.
- Test models such as Standard k-ε (baseline), SST k-ω (recommended for JI cooling), RNG k-ε (for better accuracy in complex flows), and Reynolds Stress Model (RSM) (for anisotropic turbulence).
- Compare CFD results (e.g., heat transfer coefficient, temperature distribution) with the experimental data from the previous work.
5. Optimize Separation Distance ✅
- Investigate the effect of separation distance (H/D ratio) on thermal performance.
- Simulate different separation distances (e.g., 0.5mm, 1mm, 1.5mm, 2mm).
- Analyze the heat transfer coefficient (HTC), temperature distribution, and fluid flow patterns for each case.
- Identify the optimal separation distance that maximizes cooling performance.
- Look for stagnation zones, recirculation patterns, and potential core formation in the fluid flow.
6. Analsze Flow Rate and Coolant Temperature Effects ✅ (LEFT LAST SIMULATION)
- Study how varying flow rates and coolant temperatures affect thermal performance.
- Simulate different flow rates (e.g., 1 LPM, 1.5 LPM, 2 LPM) at a fixed coolant temperature.
- Simulate different coolant temperatures (e.g., 20°C, 25°C, 30°C) at a fixed flow rate.
- Analyze the impact on HTC, thermal resistance, and temperature distribution.
- Correlate findings with dimensionless numbers (e.g., Reynolds number, Nusselt number).
7. Post-Processing and Results Analysis
- Visualise results by creating contour plots for temperature distribution, velocity profiles, and pressure drops.
- Identify stagnation zones, recirculation regions, and potential core formation.
- Quantify performance by calculating HTC, thermal resistance, and Nusselt number for each case.
- Compare results with the previous report's experimental data.
- Draw conclusions by determining which turbulence model provides the best accuracy and identifying the optimal separation distance, flow rate, and coolant temperature for maximum cooling performance.
V11 Report: (Sections Left)
1. Methodology: Describe your CFD setup, including geometry, mesh, boundary conditions, and turbulence models.
2. Results and Discussion:
- Present your findings (e.g., turbulence model comparison, separation distance optimisation, flow rate and temperature effects).
- Compare results with the previous report's experimental data.
3. Conclusion: Summarise key findings and suggest future work.
Visuals: Include plots, tables, and diagrams to support analysis.
❗️Submit in 2 days time❗️
1. 1 Simulation left :Parameter study for coolant temperature (Refer to point 6)
2. Post-processing
3. Write out Report
Will share a Onedrive file, containing previous works and current work done so far
✅ = Completed
Only Point 6,7 remains
Project:
1. Define Clear Objectives ✅
Goal should be to improve or validate the previous CFD model and provide insights that were not explored in the previous work. Objectives could include:
- Optimizing the separation distance (jet-to-target distance) for better thermal performance
- Exploring different turbulence models to improve simulation accuracy
- Analyzing the effect of flow rate and coolant temperature on heat transfer performance.
- Identifying stagnation zones and recirculation patterns in the fluid flow.
2. Review Previous CFD Work ✅
- Understand the previous CFD setup, including boundary conditions, mesh settings, turbulence models, and assumptions.
- Identify limitations in the previous CFD work, such as high uncertainty in experimental validation, limited exploration of turbulence models, or lack of transient or parametric studies.
- Focus on gaps that can be addressed, such as turbulence model comparison or separation distance optimization.
3. Set Up CFD Model ✅
- Use ANSYS Fluent replicate the previous CFD model.
- Use the same geometry as the previous work (6x6 nozzle array, 0.5mm nozzles, etc.).
- Start with the same mesh settings (hexahedral elements for the plate, tetrahedral for the rest) and perform a mesh independence study to ensure results are not mesh-dependent.
- Use the same boundary conditions as the previous work (e.g., inlet velocity, outlet pressure, heat load on the target surface).
4. Perform Turbulence Model Comparison ✅
- Compare different turbulence models to see which one provides the best agreement with experimental data.
- Test models such as Standard k-ε (baseline), SST k-ω (recommended for JI cooling), RNG k-ε (for better accuracy in complex flows), and Reynolds Stress Model (RSM) (for anisotropic turbulence).
- Compare CFD results (e.g., heat transfer coefficient, temperature distribution) with the experimental data from the previous work.
5. Optimize Separation Distance ✅
- Investigate the effect of separation distance (H/D ratio) on thermal performance.
- Simulate different separation distances (e.g., 0.5mm, 1mm, 1.5mm, 2mm).
- Analyze the heat transfer coefficient (HTC), temperature distribution, and fluid flow patterns for each case.
- Identify the optimal separation distance that maximizes cooling performance.
- Look for stagnation zones, recirculation patterns, and potential core formation in the fluid flow.
6. Analsze Flow Rate and Coolant Temperature Effects ✅ (LEFT LAST SIMULATION)
- Study how varying flow rates and coolant temperatures affect thermal performance.
- Simulate different flow rates (e.g., 1 LPM, 1.5 LPM, 2 LPM) at a fixed coolant temperature.
- Simulate different coolant temperatures (e.g., 20°C, 25°C, 30°C) at a fixed flow rate.
- Analyze the impact on HTC, thermal resistance, and temperature distribution.
- Correlate findings with dimensionless numbers (e.g., Reynolds number, Nusselt number).
7. Post-Processing and Results Analysis
- Visualise results by creating contour plots for temperature distribution, velocity profiles, and pressure drops.
- Identify stagnation zones, recirculation regions, and potential core formation.
- Quantify performance by calculating HTC, thermal resistance, and Nusselt number for each case.
- Compare results with the previous report's experimental data.
- Draw conclusions by determining which turbulence model provides the best accuracy and identifying the optimal separation distance, flow rate, and coolant temperature for maximum cooling performance.
V11 Report: (Sections Left)
1. Methodology: Describe your CFD setup, including geometry, mesh, boundary conditions, and turbulence models.
2. Results and Discussion:
- Present your findings (e.g., turbulence model comparison, separation distance optimisation, flow rate and temperature effects).
- Compare results with the previous report's experimental data.
3. Conclusion: Summarise key findings and suggest future work.
Visuals: Include plots, tables, and diagrams to support analysis.
Related categories:
Mechanical Engineering
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Thermal Analysis
Computational Fluid Dynamics
Ansys