Thermal-Comfort Design of Personalized Casts
summary
A pipeline maps infrared images from an infrared camera onto a 3D scan to compute per-region thermal-comfort sensitivity, then optimizes a hollowed Voronoi tessellation so sensitive skin gets more air exposure. The surface pattern is extruded and iteratively thickened via FEA to a 4–6 mm thickness distribution (same material mass as a 4.4 mm uniform cast) and 3D prints in PLA. Tests on four people show consistently lower skin temperatures after 30 minutes and a steeper force–displacement curve, plus higher thermal-comfort ratings.
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chapters (11)
- 0:00Start
- 0:12Thermal Comfort Design of Personalized Casts
- 0:59Design Objective of Thermal Comfort
- 5:22Thermal Comfort Distribution
- 6:02Optimization Algorithm
- 7:30Contrast Coefficient
- 7:56Structural Enhancement
- 8:58Finite Element Analysis
- 13:15Uniform Thickness Cast versus the Variable Thickness Cast
- 14:30Thermal Comfort
- 16:52Questions