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Multi-objective optimization of process parameters for laser metal deposition of NiTi shape memory alloy based on neural network and genetic algorithm

Crossref DOI link: https://doi.org/10.1007/s00170-024-12974-5

Published Online: 2024-01-18

Published Print: 2024-02

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

Authors

Gao, Jiali

Wang, Xu

Wang, Chi

Hao, Yunbo

Liang, Xudong

Li, Weiqi

Zhao, Kai
Funding

Funding for this research was provided by:

Sponsored by National Natural Science Foundation of China (52075341)

Shanghai Sailing Program (21YF1418000)

International Science & Technology Cooperation Program of Shanghai (21510731500)
License Information

Text and Data Mining valid from 2024-01-18

Version of Record valid from 2024-01-18
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Article History

Received: 18 September 2023

Accepted: 3 January 2024

First Online: 18 January 2024

Declarations

:

: The authors declare no competing interests.

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