Transactions of Materials and Heat Treatment

Title：Defect prediction and die optimization on steel piston plastic forming process based on DEFORM numerical simulation

Authors： Zhao Yulin Wang Peiji Yan Lijun Jin Guangshan Xu Sheng Zhang Xiaolei Feng Jinlong

Unit： 1. Technology Department Inner Mongolia First Machinery Group Fucheng Forging Co. Ltd. 2. School of Science Inner Mongolia University of Science and Technology

KeyWords： metal plastic forming mold design defect prediction steel piston DEFORM software

ClassificationCode：TG312

year,vol(issue):pagenumber：2022,47(6):87-92

Abstract：

For the forming quality problem of steel piston, the simulation research was conducted in the blank development stage by DEFORM software of CAE, and the metal plastic forming process of piston forging was simulated to predict the filling effect of mold, the forging load and the defects produced in forging process. Before the mold manufacturing, the prediction of the whole forming process for product could help to judge the potential defect problem and optimize the mold design. The complete solution scheme from product design to production was provided, the research and development cycle was greatly shortened, the cost of research and developement and production was reduced, this research and development mode that the designers subjectively designed the mold, and then tried many times to improve was changed, and achieved the expected results. The first trial production was successful by industrial trial production, and various technical indicators such as drawing size, surface quality and mechanical properties met the design requirements. At present, Fucheng Forging Co.，Ltd. has comprehensively promoted the use of CAD/CAE/CAM digital design and manufacturing technology in the research and development of new products, and has achieved significant economic benefits.

Funds：

赵玉琳（1968-），男，学士，研究员级高级工程师 E-mail：zhaoyulin86@sohu.com

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