September 21, 2024Open Access

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

ZZZhizhou ZhangUniversity of Manchester PMPaul MativengaUniversity of Johannesburg WZWen‐Hua ZhangUniversity of Science and Technology of China

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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. (Sat,) studied this question.

synapsesocial.com/papers/68e57c15b6db64358751ae9b https://doi.org/https://doi.org/10.3390/mi15091167

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