Transactions of Materials and Heat Treatment

Title：Multi-objective prediction on cross-rolling and perforated pipe shape for seamless steel pipe

Authors： Jia Shiying Wang Qinghua Wang Zhenyan Hu Jianhua Shuang Yuanhua Zhou Xinliang

Unit： Taiyuan University of Science and Technology Technical Center of Taiyuan Heavy Industry Co. Ltd.

KeyWords： seamless steel pipe cross-rolling and preforating least squares support vector regression pipe shape prediction process parameters

ClassificationCode：TP183

year,vol(issue):pagenumber：2022,47(10):169-175

Abstract：

In view of the influence of process parameters on the dimensional accuracy of capillaky in the cross-rolling and preforating production of seamless steel pipe, a multi-objective prediction model based on least squares support vector machine was established considering the factors of production process and production demand optimization, and the influencing factors were analyzed and screened by the grey correlation analysis method. Then, taking five process parameters of forward extension amount, roll spacing, guide plate spacing, plug diameter and blank diameter as inputs of the prediction model and the two pipe shape parameters of capillary wall thickness and outer diameter as outputs of the prediction model, considering the small data sample and the cross correlation between input and output parameters, a multi-input and multi-output least squares support vector regression model was constructed to predict the capillary shape. Furthermore, taking the actual data as training samples, the effectiveness of the model was proved by simulation experiments. And the research results provide reference for the adjustment and optimization of the process parameters required in the cross-rolling and preforating production process of seamless steel pipe.

Funds：

山西省科技重大专项(20191102009)

加世滢（1996-），女，硕士研究生，E-mail：13103421357@163.com；通信作者：王清华（1980-），女，博士，讲师，E-mail：2002043@tyust.edu.cn

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