Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding

DataRepositoriUM 2026 Dataset Open access

Read full text
Authors: Carlos Pereira, António Gaspar‐Cunha
DOI: 10.34622/datarepositorium/hubdnn
Cited by: 0

Abstract

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

Fields of Study & Subjects

Injection Molding Process and Properties Advanced Multi-Objective Optimization Algorithms Heat Transfer and Optimization

Publication details

Journal / source
DataRepositoriUM
Publication date
1 January 2026
Language
EN
Document type
Dataset