Programmable Design and Realization Based on Dynamic Biomechanical Field and Multi-Scale Spring Structures

This study is based on the hypothesis that personalized protective equipment can be improved by linking dynamic biomechanical loading data with a programmable multi-scale spring structure library. The data include dynamic pressure distribution maps collected from multi-angle impact experiments using thin-film force sensors, together with mechanical performance data for six spring structures obtained from quasi-static compression, high-strain-rate impact, drop-hammer, rebound, and surface morphology tests. The results show that graded structures provide clear advantages in energy absorption and load management, including a 54% increase in plateau stress for the 1.3mm–1.6mm graded structure and a 13.3% reduction in peak force for the 3.2mm–4.0mm graded structure under dynamic impact
. These data can be interpreted as a quantitative mapping between local biomechanical demands and structural performance, providing a foundation for designing customized protective devices with region-specific mechanical functions.