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Peer-reviewedCC BYMaterials (Basel, Switzerland)

Multi-Factor Prediction of Cumulative Deposited Height in CMT Wire Arc Additive Manufacturing Using an Improved Temporal Convolutional Network

  1. 1School of Materials Science and Physics, , Xuzhou 221116, China; (Y.W.); (H.D.); (Y.F.); (Z.C.)
  2. 2MOE Key Laboratory for Liquid-Solid Structure Evolution and Materials Processing, Institute of Materials Joining, , Jinan 250061, China;

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BibTeX
@article{wang2026multifactor,
  title = {{Multi-Factor Prediction of Cumulative Deposited Height in CMT Wire Arc Additive Manufacturing Using an Improved Temporal Convolutional Network}},
  author = {Yuwen Wang and Qikuan Zhao and Haocheng Wu and Longjian Zhou and Hao Deng and Yu Fan and Xue Li and Jie Xu and Zheng Chen and Lin Wang},
  journal = {Materials (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13666176},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Multi-Factor Prediction of Cumulative Deposited Height in CMT Wire Arc Additive Manufacturing Using an Improved Temporal Convolutional Network
AU  - Yuwen Wang
AU  - Qikuan Zhao
AU  - Haocheng Wu
AU  - Longjian Zhou
AU  - Hao Deng
AU  - Yu Fan
AU  - Xue Li
AU  - Jie Xu
AU  - Zheng Chen
AU  - Lin Wang
PY  - 2026
DA  - 2026/09/29
JO  - Materials (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13666176
SN  - 1996-1944
ER  -