Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing

में बचाया:

ग्रंथसूची विवरण
में प्रकाशित:	Communications Engineering vol. 4, no. 1 (Dec 2025), p. 168
मुख्य लेखक:	Tian, Mingxuan
अन्य लेखक:	Mu, Haochen, Liu, Tao, Li, Mengjiao, Ding, Donghong, Zhao, Jianping
प्रकाशित:	Springer Nature B.V.
विषय:	Temperature distribution Finite element method Finite volume method Accuracy Fluid dynamics Parameter identification Quality assurance Boundary conditions Data processing Manufacturing Machine learning Low carbon steel Additive manufacturing Efficiency Simulation Physics Partial differential equations Residual stress Temperature Neural networks Process controls Recurrent neural networks Data collection Finite element analysis Errors Real time
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