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Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process

Published Online: 2024-03-29

Published Print: 2025-03

Authors

Wang, Xin

Jiang, Xinchao

Wang, Hu https://orcid.org/0000-0002-5974-4499
Li, Guangyao
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (11972155)

Natural Science Foundation of Hunan Province (2020JJ4945)

Shenzhen Peacock Plan (KQTD20200820113110016)

Key Technologies Research and Development Program (2022YFB3303402)
License Information

Text and Data Mining valid from 2024-03-29

Version of Record valid from 2024-03-29
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Article History

Received: 18 July 2023

Accepted: 3 February 2024

First Online: 29 March 2024

Declarations

:

: On behalf of all authors, the corresponding author declares that there exists no conflict of interest.

: This paper presents a comprehensive exposition of the proposed method for parameter identification. The algorithm involved is implemented based on Python programming language. The authors have confidence in the replicability of the methodology employed. The code that supports the findings of this study is available from the corresponding author upon request.

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