锻压技术

基于Deform二次开发的连杆折叠缺陷预测及优化

英文标题：Prediction and optimization on folding defect for connecting rod based on secondary development of Deform

单位：四川大学

分类号：TG316

出版年,卷(期):页码：2022,47(2):12-18

摘要：

为解决某厂船用连杆生产过程中产生的折叠缺陷，借助Deform软件进行优化分析，由于Deform自带的折叠角不能准确地预测连杆折叠缺陷，故将折叠概率指数通过二次开发嵌入Deform软件从而对折叠缺陷进行预测，预测结果与实际情况相符，并利用材料流动分析确定了圆角过渡区产生折叠缺陷的原因。探究了坯料圆角过渡区的圆角半径、终锻温度、模具加压速度对折叠概率指数的影响，结合正交实验找到优化工艺参数组合，并在二次开发后的Deform软件中进行模拟，模拟结果显示折叠状况大大改善。最后进行了工厂试生产，所得锻件形状精整，折叠报废率由20.97%降至0.91%，且微观组织和晶粒度均达到了生产要求，验证了工艺优化的有效性，为类似的折叠缺陷优化工作提供了参考。

In order to solve the folding defect in the production process of marine connecting rod in a certain factory, the optimization analysis was conducted by software Deform. Since the folding defect of connecting rod was not accurately predicted by the folding angle that comes with the software Deform, the folding probability index was embedded in the software Deform by secondary development to predict the folding defect, and the prediction result was consistent with the actual situation. Then the cause of the folding defect in the fillet transition zone was found by material flow analysis. The influences of fillet radius in blank fillet transition zone, final forging temperature and die pressing speed on the folding probability index were explored, and combined with orthogonal experiments, the optimal process parameters were found and simulated in the software Deform after the secondary development. The simulation result shows that the folding condition is greatly improved. Finally, the factory trial production was carried out. And the shapes of obtained forgings are refined, the folding rejection rate is reduced from 20.97% to 0.91%, and the microstructures and grain sizes reach the production requirements, which verifies the effectiveness of the process optimization and provides a reference for the optimization of similar folding defects.

基金项目：

四川省科技厅重点研发项目(2019YFG0454）；川大-泸州校地合作重点项目(2021CDLZ-3) ；四川大学校地战略合作科技创新研发项目(2018CDPZH-26、2019CDLZ-16)

作者简介：武欢(1996-)，女，硕士研究生，E-mail：13408472434@163.com；通信作者：曹建国(1971-),男，博士，副教授，E-mail：cjgkl@sina.com

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