Knowledge-based bidirectional thermal variable modelling for directed energy deposition additive manufacturing

IF 10.2 1区工程技术 Q1 ENGINEERING, MANUFACTURING

Virtual and Physical Prototyping Pub Date : 2024-09-05 DOI:10.1080/17452759.2024.2397008

Jian Qin, Pradeeptta Taraphdar, Yongle Sun, James Wainwright, Wai Jun Lai, Shuo Feng, Jialuo Ding, Stewart Williams

引用次数: 0

Abstract

Directed energy deposition additive manufacturing (DED-AM) has gained significant interest in producing large-scale metallic structural components. In this paper, a knowledge-based machine learning...

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基于知识的定向能沉积增材制造双向热变量建模

定向能沉积增材制造（DED-AM）在生产大型金属结构件方面已获得了极大的关注。在本文中，一种基于知识的机器学习...

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来源期刊

Virtual and Physical Prototyping Engineering-Industrial and Manufacturing Engineering

CiteScore

13.60

自引率

6.60%

发文量

期刊介绍： Virtual and Physical Prototyping (VPP) offers an international platform for professionals and academics to exchange innovative concepts and disseminate knowledge across the broad spectrum of virtual and rapid prototyping. The journal is exclusively online and encourages authors to submit supplementary materials such as data sets, color images, animations, and videos to enrich the content experience. Scope: The scope of VPP encompasses various facets of virtual and rapid prototyping. All research articles published in VPP undergo a rigorous peer review process, which includes initial editor screening and anonymous refereeing by independent expert referees. This ensures the high quality and credibility of published work.