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Multimodal deep learning for predicting stress–strain curves of GCr15 bearing steel: integrating microstructural images with thermomechanical process parameters

S. Sheng Sha-Sha Zhang Changqing Shu Peiheng Ding Xuewei Tao Xiaolin Zhu Qiuhao Gu Liukai Hua Zheng-Jun Yao
Aug 2026 · Journal of Materials Science · Vol 61, pp. 30235 - 30257 · 0 citations · 35 references

TL;DR

A multimodal mechanical response network is proposed to predict the complete true stress–strain curves of GCr15 high-carbon chromium bearing steel by combining thermomechanical process parameters with segmented scanning electron microscopy (SEM) images.

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