10.34622/datarepositorium/HUBDNNPereira, CarlosCarlosPereira(IPC - Instituto de Polímeros e Compósitos/DEP)Gaspar-Cunha, AntónioAntónioGaspar-Cunha0000-0001-7777-7625(IPC - Instituto de Polímeros e Compósitos/DEP)Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection MoldingRepositório de Dados da Universidade do Minho2026EngineeringGaspar-Cunha, AntónioAntónioGaspar-Cunha(IPC - Instituto de Polímeros e Compósitos/DEP)2025-11-202026-02-0910180724application/pdf1.1CC0 WaiverThe 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