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The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control

Published Online: 2022-01-10

Published Print: 2022-03

Authors

Cai, Hanrong

Xiao, Wenchao https://orcid.org/0000-0001-7603-1995
Zheng, Kailun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51905501)
License Information

Text and Data Mining valid from 2022-01-10

Version of Record valid from 2022-01-10
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Article History

Received: 20 October 2021

Accepted: 21 December 2021

First Online: 10 January 2022

Declarations

:

: Not applicable.

: All the participated persons are listed in the paper.

: The authors consent to transfer the copyright of the article to publish.

: The authors declare no competing interests.

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