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A comprehensive review on recent laser beam welding process: geometrical, metallurgical, and mechanical characteristic modeling
Demands for improved productivity, efficiency, and quality pose challenges to the welding industry, significantly the laser beam welding process. As the materials become increasingly sophisticated in their chemical composition to provide ever-better functionally specific properties, a more complete...
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Published in: | International journal of advanced manufacturing technology 2023-12, Vol.129 (11-12), p.4781-4828 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Demands for improved productivity, efficiency, and quality pose challenges to the welding industry, significantly the laser beam welding process. As the materials become increasingly sophisticated in their chemical composition to provide ever-better functionally specific properties, a more complete and precise understanding of how such materials can join for optimal effectiveness and efficiency will become essential. The objective of the present study is to review the current literature and discuss future trends. This thorough review study provides a comprehensive systematization and corresponding advances of constituent technologies on laser beam welding process modeling (LBWPM), including types of modeling including characteristics of weld joint (geometrical, metallurgical, and mechanical), monitoring (pre-process, in-process, and post-process), length scale (macroscale, mesoscale, and microscale), and approach of modeling (empirical-based and theoretical-based). The relevant case studies will be evaluated, discussed, and compared. In the end, the general trends, and strong indications of LBWPM, seen in the future, will be discussed. The current study also provides a good foundation for future research and creates awareness of the developmental direction of laser beam welding process modeling in manufacturing industries. |
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ISSN: | 0268-3768 1433-3015 |
DOI: | 10.1007/s00170-023-12536-1 |