Process parameter optimisation method based on data-driven prediction model and multi-objective optimisation for the laser metal deposition manufacturing process monitoring

•A data-driven prediction model based on random forest was developed. The model takes into account internal defects porosity and cracks, and establishes a non-explicit function between process parameters and quality as the objective optimisation function.•A multi-objective optimisation algorithm for...

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Vydané v:	Computers & industrial engineering Ročník 204; s. 111108
Hlavní autori:	Wu, Ziqian, Li, Cheng, Zhang, Chao, Han, Bangguo, Wang, Zeyi, Fan, Wei, Xu, Zhenying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2025
Predmet:	Data-driven prediction model Manufacturing process monitoring Multi-objective optimisation algorithm Optimal process parameter combinations Process parameter optimisation Manufacturing process monitoring Data-driven prediction model Process parameter optimisation Optimal process parameter combinations Multi-objective optimisation algorithm
ISSN:	0360-8352
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