Transactions of Materials and Heat Treatment

Title：Finite element analysis on mould structure and processing technology for repetitive forging

Authors： Guo Wei Shen Yun Lu Deping Liu Keming Fu Yuan

Unit： Institute of Applied Physics Jiangxi Academy of Sciences Nanchang Institute of Technology

KeyWords： repetitive forging mould structure plastic processing technology with large strain Deform-3D magnesium alloy AZ31

ClassificationCode：TG306

year,vol(issue):pagenumber：2018,43(1):102-109

Abstract：

The die structure and processing technology of repetitive forging was analyzed by numerical simulation software Deform-3D. It is found that the equivalent strain of each forging pass is increased by reducing the width of mould cavity, however, the homogeneity of strain distribution and the shape and size retentivity of sample decrease. When a certain transitional angle radius existes in the mould, the sample surface obtaines a better forming quality, and the homogeneity of strain distribution is slightly improved with the increasing of transitional angle radius. While the sample is forged by next pass after it is rotated 90° around the Z-axis, more uniform effective strain distribution is obtained. Furthermore, the influence of processing speed on the temperature rise in the forged sample is very significant, and a higher speed makes the temperature rise remarkably. With the increasing of forging temperature, the maximum load decreases, while the homogeneity of strain and stress distribution in the sample increases. With the increasing of friction coefficient, the distribution uniformity of effective strain is slightly improved, and the most homogeneous strain distribution is obtained when it increases to 0.2, however, the distribution uniformity startes to decrease obviously when it continues to increase to 0.3. The experimental investigation of forging magnesium alloy AZ31 at 300 ℃ with a speed of 0.1 mm·s-1 shows that the average grain size is notably refined from about 200 μm to the minimum 1.3 μm after five passes.

Funds：

国家自然科学基金资助项目(51404151, 51561010, 51461018)；江西省自然科学基金重大项目(20144ACB20013)；江西省科学院重点科研项目(2017-YZD2-20)；科研开发专项基金博士项目(2015-YYB-11)；协同创新专项普惠制一类项目(2015-XTPH1-11)

作者简介：郭炜（1981-），男，博士，副研究员，E-mail：guowei053@163.com

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