Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process

Additive manufacturing (AM) has been a vital element of smart manufacturing. The high energy intensity or environmental sustainability issue of AM, however, has posed a great challenge to the future massive application, particularly laser-based direct energy deposition (L-DED). This study aims to de...

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Veröffentlicht in:	Energy (Oxford) Jg. 306; S. 132518
Hauptverfasser:	Gao, Baoyun, Peng, Shitong, Li, Tao, Wang, Fengtao, Guo, Jianan, Liu, Conghu, Zhang, Hongchao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2024
Schlagworte:	algorithms Bayesian theory Direct energy deposition domain energy conservation Energy efficiency Ephemeroptera Geometrical appearance geometry mutation Parameters optimization prediction XGBoost Parameters optimization Energy efficiency Geometrical appearance XGBoost Direct energy deposition
ISSN:	0360-5442
Online-Zugang:	Volltext
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