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Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder

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Published in:Advanced Modeling and Simulation in Engineering Sciences
Format: Online Article RSS Article
Published: 2025
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container_title Advanced Modeling and Simulation in Engineering Sciences
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:22415
institution FRELIP
journal_source_facet Advanced Modeling and Simulation in Engineering Sciences
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
Simulation
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Simulation
Technology & Engineering — Computing
Technology & Engineering
Simulation
Technology & Engineering — Computing
Technology & Engineering
subject_facet Simulation
Technology & Engineering — Computing
Technology & Engineering
title Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_auth Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_full Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_fullStr Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_full_unstemmed Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_short Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
title_sort data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder
topic Simulation
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1186/s40323-025-00305-6