The influence of temperature plays a pivotal role in various aspects of metal additive manufacturing (AM), including melt-pool dimensions, defect distribution, and microstructure formation. Consequently, understanding temperature dynamics provides valuable insights for part design, process planning, and control. However, physics-based models are computationally inefficient for inverse design and real-time applications. To overcome this, we utilize machine learning techniques to create surrogate models capable of real-time simulations while maintaining high fidelity across diverse scenarios.
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JCISE
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Journal of Computing and Information Science in Engineering, 2024
@article{chen2024accelerating,doi={10.1115/1.4062852},url={https://doi.org/10.1115/1.4062852},title={Accelerating Thermal Simulations in Additive Manufacturing by Traing Physics-Informed Neural Networks with Randomly-Synthesized Data},author={Chen, Jiangce and Pierce, Justin and Williams, Glen and Simpson, Timothy W and Meisel, Nicholas and Prabha Narra, Sneha and McComb, Christopher},journal={Journal of Computing and Information Science in Engineering},pages={1--14},year={2024},thermal_simu={true},}
JMS
Data-driven inpainting for full-part temperature monitoring in additive manufacturing
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@article{chen2024data,title={Data-driven inpainting for full-part temperature monitoring in additive manufacturing},author={Chen, Jiangce and Khrenov, Mikhail and Jin, Jiayi and Narra, Sneha Prabha and McComb, Christopher},journal={Journal of Manufacturing Systems},volume={77},pages={558--575},year={2024},publisher={Elsevier},thermal_simu={true},}
JMSE
Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operators
Jiangce Chen, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb
Journal of Manufacturing Science and Engineering, 2024
@article{chen2024capturing,title={Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operators},author={Chen, Jiangce and Xu, Wenzhuo and Baldwin, Martha and Nijhuis, Bj{\"o}rn and den Boogaard, Ton van and Grande Guti{\'e}rrez, Noelia and Prabha Narra, Sneha and McComb, Christopher},journal={Journal of Manufacturing Science and Engineering},volume={146},number={9},year={2024},publisher={American Society of Mechanical Engineers Digital Collection},thermal_simu={true},}
