STAR-CCM+ Thermal Management + HVAC + Experimental Data Calibration + Temperature Field Calibration

@mohammadh684

Hi, I work in CFD thermal management and conjugate heat transfer daily, including transient cabin/HVAC thermal models calibrated against measured data — so this diagnostic-and-calibration task fits me well. On your core question — why foot temperature rises as fast as head temperature in the sim when the experiment shows it nearly flat for ~200s — the likeliest causes, in order: Thermal stratification not captured — if buoyancy / the density model isn't set up to let hot air pool at the head and cool air settle at the feet, the cabin mixes uniformly and feet over-heat. Floor solid thermal mass — the flat 200s foot reading points to floor thermal inertia. Wrong solid properties or fluid-solid coupling would erase that lag. HVAC inlet direction / vent split — cooled air not reaching the footwell. Solar load applied too uniformly instead of concentrated on glazing/dashboard. My approach: review the .sim model, check buoyancy, solar, HVAC BCs and solid coupling against the data, correct the cause, then calibrate head/hands/feet to within 10%. Yes to both — I've done thermal/HVAC CFD and experimental data calibration. Deliverables: corrected .sim, root-cause explanation, list of changes, sim-vs-experiment comparison curves. Estimated time: 5 days, inside your June 13 deadline. Fixed price as quoted. Portfolio: [login to view URL] Best, Mohammad Haris

@smartbworld

Hi, I've carefully read your project description and I understand the core issue: the experimental data shows that foot temperature remains nearly unchanged during the first 200 seconds, while your STAR-CCM+ 2510 simulation shows it rising at the same rate as head temperature. This discrepancy points to a likely misconfiguration in either the thermal boundary conditions or the radiation/convection parameters applied to the lower body zones. Here is how I would approach this, step by step: 1. Review the existing .sim file and identify the boundary conditions applied to the foot, hand, and head surfaces — checking for inconsistencies in convective coefficients or solar radiation absorption rates. 2. Cross-check the airflow velocity data with the thermal zones to ensure the HVAC cooling process is properly modeled near the floor level. 3. Adjust thermal management settings (emissivity, heat transfer coefficients) and re-run the simulation. 4. Calibrate the temperature fields against your experimental data until the deviation drops below 10% across all three measurement points (head, hands, feet). I will deliver: a modified .sim file, a written explanation of the root cause, comparative curves (simulated vs. experimental), and the final executable project file. I can complete this within the deadline of June 13, 2026. Please feel free to ask any questions before awarding. Best regards, Steeve