A prediction model for the mechanical properties of SUS316 stainless steel ultrathin strip driven by multimodal data mixing

A prediction model for the mechanical properties of SUS316 stainless steel ultrathin strip driven by multimodal data mixing

Constructing a mapping relationship among material preparation process, microstructure, and mechanical properties is a challenge in material research and development. In this work, a deep learning framework for multimodal data fusion is constructed that couples a multi-layer perceptron (MLP) and a r...

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Bibliographic Details
Main Authors: Zhenhua Wang, Pengzhan Wang, Yunfei Liu, Yuanming Liu, Tao Wang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Materials & Design
Subjects:
Mechanical property prediction
SUS316 stainless steel ultrathin strips
Multimodal data coupling
Rolling process
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524008797
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