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Node-Cell Values and Mesh Adaption
CFD for Thermal Analysis
Larry Yu BSc, MSc, PhD, CEng, MIET, MASME
Principal Simulation Engineer
26/07/2016
C. Soteriou PhD, CMath, CSci, FIMA
Manager, Simulation & Physical Modelling
CFD for thermal analysis
2
• Objectives:
 Investigate specific problems in 2D and 3D analysis of heat in orifice
 Develop a more efficient way (best practice) for injector nozzle analysis
with thermal considerations
• Approach:
 Same 2D settings and meshing scheme for 3D analysis
 Temperature specific issues in post-processing
 Node values and cell values
 Effective mesh adaption
Inlet
Orifice
outlet
Axis
Wall
Mesh adaption and temperature values
3
Temperature in cell values (K)Cell mesh adaption
• Original problems in heat modelling:
 Unrealistically low temperature results at the wall around the orifice entry
 Very fine mesh is required to start the analysis – longer time to run
• Problems solved by:
 Using mesh adaption, and
 Comparing node values with cell values
Temperature in node values (K)
Cells are refined
CFD results – Temperature along the wall
4
Temperature(K)
Nodevalues
Temperature(K)
Cellvalues
Before mesh adaption After mesh adaption
CFD for Heat in Orifice Conclusions
5
• Cell values are the data for Fluent finite volume method
 Used in problem solving and saved in the data file
• Node values are calculated from cell values
 Used for post-processing, not involved in the computation of problem
solution and may give unrealistic min and max values for temperature
• Mesh adaption can refine cell sizes next to the wall
 Can move the min node values close to cell values, but thin wall cells
increase the max temperature (need further investigation)
 Increases 2D cell number by 2 folds and 3D by 3 folds each adaption
• 3D Cd is 0.932, compared to 2D Cd of 0.934
 Therefore 2D models are suitable to the analysis of heat in orifice

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IET CFD Node-Cell Values LY20160726

  • 1. Node-Cell Values and Mesh Adaption CFD for Thermal Analysis Larry Yu BSc, MSc, PhD, CEng, MIET, MASME Principal Simulation Engineer 26/07/2016 C. Soteriou PhD, CMath, CSci, FIMA Manager, Simulation & Physical Modelling
  • 2. CFD for thermal analysis 2 • Objectives:  Investigate specific problems in 2D and 3D analysis of heat in orifice  Develop a more efficient way (best practice) for injector nozzle analysis with thermal considerations • Approach:  Same 2D settings and meshing scheme for 3D analysis  Temperature specific issues in post-processing  Node values and cell values  Effective mesh adaption Inlet Orifice outlet Axis Wall
  • 3. Mesh adaption and temperature values 3 Temperature in cell values (K)Cell mesh adaption • Original problems in heat modelling:  Unrealistically low temperature results at the wall around the orifice entry  Very fine mesh is required to start the analysis – longer time to run • Problems solved by:  Using mesh adaption, and  Comparing node values with cell values Temperature in node values (K) Cells are refined
  • 4. CFD results – Temperature along the wall 4 Temperature(K) Nodevalues Temperature(K) Cellvalues Before mesh adaption After mesh adaption
  • 5. CFD for Heat in Orifice Conclusions 5 • Cell values are the data for Fluent finite volume method  Used in problem solving and saved in the data file • Node values are calculated from cell values  Used for post-processing, not involved in the computation of problem solution and may give unrealistic min and max values for temperature • Mesh adaption can refine cell sizes next to the wall  Can move the min node values close to cell values, but thin wall cells increase the max temperature (need further investigation)  Increases 2D cell number by 2 folds and 3D by 3 folds each adaption • 3D Cd is 0.932, compared to 2D Cd of 0.934  Therefore 2D models are suitable to the analysis of heat in orifice