Transactions of Materials and Heat Treatment

Title：Wear research and prediction on hot stamping DAC die steel

Authors： Cheng Xiaoyu Zhang Saijun Zheng Chaoyin Ding Weiyang Song Shiguang

Unit： School of Mechanical and Automotive Engineering South China University of Technology

KeyWords： DAC die steel wear prediction hot stamping die Archard wear model temperature coupling

ClassificationCode：TG76

year,vol(issue):pagenumber：2025,50(7):211-218

Abstract：

In order to improve the prediction accuracy of hot stamping die wear, a temperature-coupled Archard modification model and a wear visualization methodology were proposed. Then, for the die of an automotive A-pillar reinforcement plate, high-temperature hardness experiments at 25-300 ℃ and isothermal friction and wear tests were designed and conducted. The results show that the friction factor between DAC die steel and 22MnB5 high-strength steel decreases with the increasing of temperature, and the hardness of DAC die steel gradually decreases at the beginning of temperature rise and then tends to be stable. The experimental results are summarized and the temperature function is coupled to the Archard wear model. Based on simulation platform ABAQUS, a finite element simulation model of the hot stamping of the die is constructed, the update algorithm of the die surface nodes is implemented in combination with Python language, and the wear morphology evolution of the die surface is predicted by post-processing contour map. The simulation results of 66332 stamping times show that the error between the wear amount and the measurement value of the blue light 3D scanner is controlled within 8%. The results show that the modified model achieves a high prediction accuracy and provides the theoretical support for process optimization and defect control.

Funds：

高品质热作模具钢研发与产业化 (2020B010184002)

作者简介：程晓宇(2000-)，男，硕士研究生 E-mail：1563142619@qq.com 通信作者：张赛军(1978-)，男，博士，副教授 E-mail：mesjzhang@scut.edu.cn

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