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September 21, 2024Micromachines30 citationsOpen Access

Deep Learning-Driven Prediction of Mechanical Properties of 316L Stainless Steel Metallographic by Laser Powder Bed Fusion

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ZZZhizhou ZhangPMPaul MativengaWZWen‐Hua Zhang

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Abstract

This study developed a new metallography-property relationship neural network (MPR-Net) to predict the relationship between the microstructure and mechanical properties of 316L stainless steel built by laser powder bed fusion (LPBF). The accuracy R

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Zhang et al. (2024) studied this question.

synapsesocial.com/papers/68e57c15b6db64358751ae9bhttps://doi.org/10.3390/mi15091167
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