Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding
收藏数据链接：
官方服务：
资源简介：
The article presents an integrated methodology combining NL-PCA, neural-network surrogate models, and evolutionary algorithms to optimize conformal cooling channel geometries and processing conditions in injection molding, reducing cycle time, energy consumption, and part defects
创建时间：
2026-02-09
