Transactions of Materials and Heat Treatment

Title：Optimization on proportional loading path based on K-means clustering algorithm

Authors： Zhang Kunyan Yang Lianfa Chen Zhanbin Zong Pengju

Unit： Guilin University of Electronic Technology

KeyWords： pipe hydroforming proportional loading path clustering algorithm hydraulic pressure axial feeding

ClassificationCode：TG304

year,vol(issue):pagenumber：2021,46(11):183-189

Abstract：

In order to explore the influences of process parameters on hydroforming process of tube, the proportional loading was studied. Then, the hydroforming of TP2 copper pipe was conducted by the combining of theoretical calculation and simulation, and the model was verified by comparing and analyzing the axial profile of the forming zone in the experiment and simulation environment and taking the relative error less than 10% as the judgment criterion. Furthermore, the change of flow stress component was observed and analyzed by changing the hydraulic pressure and axial feeding amount. Finally, the proportional loading was realized by optimization of K-mean clustering, and the loading path was obtained. During the bulging process, the stress component ratio was R=2.233, and the error range was -1.46%≤Ei≤1.6%. The results show that the fluctuation range of flow stress component ratio after optimization of K-means clustering is significantly reduced, indicating that the algorithm can optimize the loading path.

Funds：

广西研究生教育创新计划项目（JGY2019074）；国家自然科学基金资助项目(52065014)；广西自然科学基金资助项目(2017GXNSFAA198133)；桂林电子科技大学研究生优秀学位论文培育项目(18YJPYSS03)

作者简介：张坤岩（1993-），男，硕士研究生，E-mail：z_kunyan@163.com；通信作者：杨连发（1965-），男，博士，教授，E-mail：y-lianfa@163.com

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