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...

Full description

Bibliographic Details

Published in:	Computers & industrial engineering Vol. 204; p. 111108
Main Authors:	Wu, Ziqian, Li, Cheng, Zhang, Chao, Han, Bangguo, Wang, Zeyi, Fan, Wei, Xu, Zhenying
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!