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Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: High-fidelity, data-driven models that can quickly simulate thermal behavior during additive manufacturing (AM) are crucial for improving the performance of AM technologies in multiple areas, such as part design, process ...
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