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    CHEN De, QI Biao, HU Qingmang, ZHOU Sanbao, LEI Huabei, GE Xiaobo. Artificial intelligence research and application of steel grain size rating[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART A:PHYSICAL TESTING, 2025, 61(5): 14-20. DOI: 10.11973/lhjy-wl240358
    Citation: CHEN De, QI Biao, HU Qingmang, ZHOU Sanbao, LEI Huabei, GE Xiaobo. Artificial intelligence research and application of steel grain size rating[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART A:PHYSICAL TESTING, 2025, 61(5): 14-20. DOI: 10.11973/lhjy-wl240358

    Artificial intelligence research and application of steel grain size rating

    • The neural network deep learning method was used to intelligently evaluate the grain size of steel. The grain size feature database was established by manual marking of grain size samples. The grain size convolutional neural network standard model was constructed by using computer artificial intelligence and neural network deep learning technology. Through the model rating, the grain size evaluation results were finally given.
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