在机器人线弧增材制造中实施机器学习，最大限度降低表面粗糙度

IF 3.7 3区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Computer Integrated Manufacturing Pub Date : 2024-03-16 DOI:10.1080/0951192x.2024.2330091

Kashif Hasan Kazmi, Mukesh Chandra, Sonu Rajak, Sumit K. Sharma, Amitava Mandal, Alok Kumar Das

引用次数: 0

摘要

近年来，线弧快速成型制造（WAAM）已成为一种重要的金属快速成型制造技术。线弧增材制造最关键的挑战是实现所需的表面质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Implementing machine learning in robotic wire arc additive manufacturing for minimizing surface roughness

Wire arc additive manufacturing (WAAM) has emerged as an important type of metal additive manufacturing technique in recent years. The most critical challenge in WAAM is to achieve the desired surf...

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来源期刊

International Journal of Computer Integrated Manufacturing 工程技术-工程：制造

CiteScore

9.00

自引率

9.80%

发文量

审稿时长

10 months

期刊介绍： International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years. IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.