锻压技术

支撑板冲压成形模具磨损分析及优化

英文标题：Wear analysis and optimization of stamping die for support plate

作者：门超徐晓东

单位：承德石油高等专科学校

分类号：TG386.1

出版年,卷(期):页码：2020,45(3):131-136

摘要：

以某支撑板冲压成形为研究对象，基于Archard磨损理论，采用有限元分析软件DEFORM-3D对其冲压成形过程中出现的模具磨损进行模拟分析，探索了其磨损原因；为最大化模具使用寿命，采用正交试验对影响模具磨损的工艺参数进行优选。选取冲压速度、摩擦系数、模具硬度、压边力作为因素，设计4因素4水平的正交试验，通过对试验结果进行极差和方差分析，得出各因素对结果的影响趋势，综合考虑后确定最优参数组合为：冲压速度为5 mm·s-1、摩擦系数为0.12、模具硬度为64 HRC、压边力为280 kN，同时，根据模拟结果对模具使用寿命进行预测。采用优化后的参数进行试模，发现模具的使用寿命与模拟结果基本一致，模具使用寿命大幅延长，验证了有限元分析结果的正确性。

Taking the stamping of a support plate as the research object，the wear of die during the forming process was analyzed based on Archard wear theory by finite element analysis software DEFORM-3D. The reason of wear was analyzed. In order to maximize the service life of die，the stamping speed，the friction coefficient，the die hardness and the blank holder force were chosen as process parameters, and the fourfactor and fourlevel orthogonal test was designed to optimize the process parameters. Through the range analysis and variance analysis of the orthogonal test results，the influence trend of each factor on the results was obtained. Furthermore，the optimal parameters was determined as the stamping speed of 5 mm·s-1，the friction coefficient of 0.12，the die hardness of 64 HRC and the blank holder force of 280 kN. At the same time，the service life of was predicted by simulation results.The test was conducted by the optimized parameters. It shows that the service life of die is greatly extended by the optimized parameters and it has a good consist with the simulation results，which verifies the correctness of the finite element analysis results.

基金项目：

门超（1977-），男，硕士，副教授 E-mail：menchao2009@126.com 通讯作者：徐晓东（1961-），男，学士，高级实验师 E-mail：2083745766@qq.com

参考文献：

［1］洪永放,庄新村,丁振文,等.不同挤压次数下板料挤压凸模磨损规律研究
［J］.塑性工程学报,2018,25(5):130-135.

Hong Y F，Zhuang X C，Ding Z W，et al. Tool wear investigation of sheet extrusion based on continuous extrusion strokes
［J］. Journal of Plasticity Engineering,2018,25(5):130-135.

［2］皇涛,宋宇,张丹丹,等.基于修正的Archard磨损理论模型的H13模具钢热挤压磨损研究
［J］.锻压技术,2019,44(9):160-166.

Huang T，Song Y，Zhang D D，et al. Study on hot extrusion wear of H13 die steel based on modified Archard wear theory model
［J］. Forging & Stamping Technology,2019,44(9):160-166.

［3］曲雪苓.基于Simufact Forming的涡轮叶片热锻模具磨损计算机仿真分析
［J］.热加工工艺，2018，47(21): 196-198，202.

Qu X L. Computer simulation analysis on wear of hot forging die for turbine blade based on Simufact Forming
［J］. Hot Working Technology，2018，47(21): 196-198，202.

［4］张东民,刘铭心,盛育东,等.薄壁六角螺母冷镦过程中模具磨损模拟分析及参数优化
［J］.润滑与密封,2017,42(10):114-117.

Zhang D M，Liu M X，Sheng Y D，et al. Process analysis and parameter optimization on die wear in cold heading for thinwalled hex nut
［J］. Lubrication Engineering,2017,42(10):114-117.

［5］屈晓晓,张治民,李国俊,等.基于Archard模型的铝合金盒形件热挤压模具磨损研究
［J］.热加工工艺,2019,48(9):153-157.

Qu X X，Zhang Z M，Li G J，et al. Research on wear of hot extrusion die of aluminum alloy box parts based on Archard model
［J］. Hot Working Technology,2019,48(9):153-157.

［6］熊英超,夏琴香,叶福源,等.多工位级进模冲裁工序模具磨损行为的数值分析及寿命预测
［J］.精密成形工程,2017,9(3):89-93.

Xiong Y C，Xia Q X，Ye F Y，et al. Numerical analysis and life prediction of die wear behavior in multiposition progressive die blanking
［J］. Journal of Netshape Forming Engineering，2017,9(3):89-93.

［7］朱晟平,莫帅,王霄.基于Deform与Isight的六角法兰面螺栓冷镦模具设计与优化
［J］.机械设计,2019,36(3):50-55.

Zhu S P，Mo S，Wang X. Design and optimization of the coldheading die for hexagonal flange bolts based on Deform and Isight
［J］. Journal of Machine Design，2019,36(3):50-55.

［8］高振山,邓效忠,陈拂晓,等.基于修正Archard理论的螺旋锥齿轮锻造模具寿命预测
［J］.中国机械工程，2014，25(2): 226-229.

Gao Z S，Deng X Z，Chen F X，et al. Die service life estimation based on modified Archard method in forging spiral bevel gear
［J］. China Mechanical Engineering，2014,25(2):226-229.

［9］陈吉清,王玉超,兰凤崇.基于正交试验的汽车覆盖件冲压工艺参数优化
［J］.计算机集成制造系统,2007，(2):2433-2440.

Chen J Q，Wang Y C，Lan F C. Optimization for stamping process parameters of automotive body parts based on orthogonal experiments
［J］. Computer Integrated Manufacturing Systems,2007，(2):2433-2440.

［10］王新太,王进,顾宁,等. 渐进成形工艺参数对6061铝合金板材成形性能的影响
［J］.锻压技术，2019，44(7): 29-33，46.

Wang X T，Wang J，Gu N，et al. Effect of incremental forming process parameters on formability of 6061 aluminum alloy sheet
［J］. Forging & Stamping Technology，2019，44(7): 29-33，46.

［11］王勇,郑彬峰,黄俊杰,等.花键冷搓成形力正交试验分析
［J］.塑性工程学报,2018,25(5):240-247.

Wang Y，Zheng B F，Huang J J，et al. Analysis of forming force in cold rolling for spline based on orthogonal experiment
［J］. Journal of Plasticity Engineering,2018,25(5):240-247.

［12］孙宪萍,杨兵,刘强强,等.基于BP神经网络与遗传算法的温挤压模具优化设计
［J］.润滑与密封，2017，42(4): 84-88.

Sun X P，Yang B，Liu Q Q，et al. Warm extrusion die wear optimization design based on BP neural network and genetic algorithm
［J］. Lubrication Engineering,2017，42(4): 84-88.

服务与反馈：

【文章下载】【加入收藏】