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Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing

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Bibliographic Details
Published in:Integrating Materials and Manufacturing Innovation
Format: Online Article RSS Article
Published: 2026
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container_title Integrating Materials and Manufacturing Innovation
description
discipline_display Manufacturing and Technology
discipline_facet Manufacturing and Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:106664
institution FRELIP
journal_source_facet Integrating Materials and Manufacturing Innovation
last_indexed 2026-07-26T02:01:08.348Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
Manufacturing and Technology
General
Manufacturing and Technology
sub_discipline_display General
sub_discipline_facet General
subject_display Manufacturing and Technology
General
Manufacturing and Technology
Manufacturing and Technology
General
Manufacturing and Technology
subject_facet Manufacturing and Technology
General
Manufacturing and Technology
title Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_auth Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_full Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_fullStr Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_full_unstemmed Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_short Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing
title_sort prediction of cracking locations in part-scale process simulation of wire-and-arc additive manufacturing
topic Manufacturing and Technology
General
Manufacturing and Technology
url https://link.springer.com/article/10.1007/s40192-026-00471-4