Life cycle assessment of metal powder production: a Bayesian stochastic Kriging model-based autonomous estimation

Abstract Metal powder contributes to the environmental burdens of additive manufacturing (AM) substantially. Current life cycle assessments (LCAs) of metal powders present considerable variations of lifecycle environmental inventory due to process divergence, spatial heterogeneity, or temporal fluct...

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Bibliographic Details

Published in:	Autonomous Intelligent Systems
Main Authors:	Haibo Xiao, Baoyun Gao, Shoukang Yu, Bin Liu, Sheng Cao, Shitong Peng
Format:	Article
Language:	English
Published:	Springer 2024-10-01
Subjects:	Data imputation Gas atomization Stochastic Kriging model Additive manufacturing Uncertainty
Online Access:	https://doi.org/10.1007/s43684-024-00079-5