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

Research article (The International Journal of Advanced Manufacturing Technology, 2022) · cited 12× · AI/ML
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The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control

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The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-prediction-of-part-thickness-using-machine-learning-in-aluminum-hot-stamping-process-with-partition-temperature-cont
MLA “The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-prediction-of-part-thickness-using-machine-learning-in-aluminum-hot-stamping-process-with-partition-temperature-cont.
BibTeX @misc{4ortxyz_the-prediction-of-part-thickness-using-machine-learning-in-aluminum-hot-stamping-process-with-partition-temperature-cont_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The prediction of part thickness using machine learning in aluminum hot stamping process with partition temperature control}}, year = {2026}, url = {https://4ort.xyz/entity/the-prediction-of-part-thickness-using-machine-learning-in-aluminum-hot-stamping-process-with-partition-temperature-cont}, note = {Accessed: 2026-05-24}}
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