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Prediction model for 1 mm thickness A1060 aluminum and T2 copper magnetic pulse welding joints based on CNN-LSTM-AM deep learning algorithm and DeepSHAP interpretability analysis

Crossref DOI link: https://doi.org/10.1007/s40194-025-02195-z

Published Online: 2025-10-11

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yuan, Mingjian

Peng, Gongcheng

Xiao, Ruru

Zeng, Bing

Xu, Wenxuan

Li, Guangyao

Gao, Tianyu

Cui, Junjia

Jiang, Hao https://orcid.org/0000-0001-9853-3398
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52375331)

National Natural Science Foundation of China (52175315)

Fundamental Research Funds for the Central Universities (531118010862)

Shenzhen Science and Technology Innovation Program (KQTD20200820113110016)
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Text and Data Mining valid from 2025-10-11

Version of Record valid from 2025-10-11
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Article History

Received: 18 June 2025

Accepted: 5 October 2025

First Online: 11 October 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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