Transactions of Materials and Heat Treatment

Title：H-beam steel structure prediction expert system based on ELM

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ClassificationCode：TG335.4+2

year,vol(issue):pagenumber：2024,49(1):241-248

Abstract：

H-beam steel structure prediction expert system was established by the extreme learning machine, and based on the chemical composition, process parameters and cooling speed of H-beam steel, the microstructure, grain grade and average impact energy of the steel grade after rolling were predicted. Then, the microstructure, average impact energy and grain grade of H-beam steel were predicted in batches by the expert system with the data base from production data of H-beam steel in a certain steel plant. The prediction results indicate that the determination coefficient R2 is high and the fitting degree is good, and the average absolute percentage error is smaller and the accuracy is high. In order to verify the feasibility of the expert system, H-beam steel with the same steel material and the same rolling process parameters as predicted was used to conduct metallographic experiment and Charpy impact experiment, and the proportion of microstructure, average impact energy and grain grade obtained by experiment are basically consistent with the predicted values. The results indicate that the H-beam steel structure prediction expert system established based on ELM has high prediction accuracy and good reference value for the actual production.

Funds：

河北省自然科学基金资助项目（E2021209041)

作者简介：刘亚玓（1998-），男，硕士研究生 E-mail：yydd981@163.com 通信作者：马劲红(1973-),女，博士，教授 E-mail：majinhong@126.com

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