Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Moldingdoi:10.34622/datarepositorium/HUBDNNRepositório de Dados da Universidade do Minho2026-02-091Pereira, Carlos; Gaspar-Cunha, António, 2026, "Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding", https://doi.org/10.34622/datarepositorium/HUBDNN, Repositório de Dados da Universidade do Minho, V1Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Moldingdoi:10.34622/datarepositorium/HUBDNNPereira, CarlosGaspar-Cunha, AntónioRepositório de Dados da Universidade do MinhoGaspar-Cunha, AntónioPereira, Carlos2025-11-20EngineeringThe 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 defectsCC0 WaiverData-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding_results.pdfapplication/pdf