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A method for predicting high-temperature mechanical properties of heat-resistant alloys based on deep learning

机译:基于深度学习的耐热合金高温力学性能预测方法

摘要

#$%^&*AU2020101874A420200924.pdf#####ABSTRACT This invention relates to a method for predicting high-temperature mechanical properties of heat-resistant alloys based on deep learning. The invention can realize the direct prediction from microstructure to high-temperature mechanical properties of heat-resistant alloys, improve the efficiency of heat-resistant alloys high-temperature performance detection, save heat-resistant alloys high-temperature testing costs, and improve the accuracy of existing heat-resistant alloys high-temperature mechanical properties prediction methods.-1/8Original_____s Normalization and Orignalataasesplitting of database 0. Read and Traiing alidtion convert [cRava Evaluate erformanc 7 New - microstructures Iteration:' Training: * and Daap: ,validation: ---------- g-----------p Prediction 1izV results c21] Figure1I
机译:#$%^&* AU2020101874A420200924.pdf #####抽象本发明涉及一种预测合金高温机械性能的方法。基于深度学习的耐热合金。本发明可以实现直接预测从耐热合金的微观结构到高温机械性能,提高耐热合金高温性能检测效率,节省耐热合金高温测试费用大,提高了现有精度耐热合金高温力学性能的预测方法。-1/8原始______s数据库的规范化和原始折旧0。读和训练滑行转换[cRava评估二甲双胍7新-微观结构迭代:训练:*和Daap:验证:---------- g ----------- p预测1izV结果

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