{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34622/datarepositorium/HUBDNN","identifier":"https://doi.org/10.34622/datarepositorium/HUBDNN","name":"Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding","creator":[{"name":"Pereira, Carlos","affiliation":"(IPC - Instituto de Polímeros e Compósitos/DEP)"},{"name":"Gaspar-Cunha, António","affiliation":"(IPC - Instituto de Polímeros e Compósitos/DEP)","@id":"https://orcid.org/0000-0001-7777-7625","identifier":"https://orcid.org/0000-0001-7777-7625"}],"author":[{"name":"Pereira, Carlos","affiliation":"(IPC - Instituto de Polímeros e Compósitos/DEP)"},{"name":"Gaspar-Cunha, António","affiliation":"(IPC - Instituto de Polímeros e Compósitos/DEP)","@id":"https://orcid.org/0000-0001-7777-7625","identifier":"https://orcid.org/0000-0001-7777-7625"}],"datePublished":"2026-02-09","dateModified":"2026-02-09","version":"1","description":["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"],"keywords":["Engineering"],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Repositório de Dados da Universidade do Minho","url":"https://datarepositorium.uminho.pt"},"publisher":{"@type":"Organization","name":"Repositório de Dados da Universidade do Minho"},"provider":{"@type":"Organization","name":"Repositório de Dados da Universidade do Minho"},"distribution":[{"@type":"DataDownload","name":"Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding_results.pdf","fileFormat":"application/pdf","contentSize":10180724}]}