2017
DOI: 10.1007/978-981-10-7043-3_1
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Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering

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Cited by 6 publications
(2 citation statements)
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“…Chen et al (2000) have described the framework for intelligent weld manufacturing. It requires a multidisciplinary integrated computational welding engineering approach (process, automation, control, microstructure, and property) for intelligent weld manufacturing (David et al 2018). In gas tungsten arc welding (GTAW), gas metal arc welding (GMAW), laser welding, and resistance welding machine learning approach were employed to optimize weld process parameters, enhance weld quality, defect detection, etc.…”
Section: Industry 40 In Fusion Welding Processmentioning
confidence: 99%
See 1 more Smart Citation
“…Chen et al (2000) have described the framework for intelligent weld manufacturing. It requires a multidisciplinary integrated computational welding engineering approach (process, automation, control, microstructure, and property) for intelligent weld manufacturing (David et al 2018). In gas tungsten arc welding (GTAW), gas metal arc welding (GMAW), laser welding, and resistance welding machine learning approach were employed to optimize weld process parameters, enhance weld quality, defect detection, etc.…”
Section: Industry 40 In Fusion Welding Processmentioning
confidence: 99%
“…In gas tungsten arc welding (GTAW), gas metal arc welding (GMAW), laser welding, and resistance welding machine learning approach were employed to optimize weld process parameters, enhance weld quality, defect detection, etc. (David et al 2018). Similarly, with development of bioinformatics model of machine learning, risk and danger associated with welding processes can be minimized (Mahadevan et al 2021).…”
Section: Industry 40 In Fusion Welding Processmentioning
confidence: 99%