拼焊板方盒件拉深成形变压边力曲线预测
发布时间：2018-10-19 19:07
【摘要】：随着汽车数量的增加,石油能源的消耗也越来越大,如今为解决世界性能源问题,降低汽车油耗已成为当今汽车制造商的主要追求目标之一。拼焊板成形技术在汽车上的成功应用有效地降低了车身重量,大大提高了能源利用率,符合当今社会对节能环保的要求。然而拼焊板的成形比普通单板的成形更复杂,因此近年来众多学者对拼焊板的成形技术进行了大量的研究。本文以拼焊板方盒形件为研究对象,利用有限元分析软件DYNAFORM对同材异厚的拼焊板方盒形件拉深成形过程进行数值模拟分析研究。首先利用正交试验极差分析确定了对拼焊板方盒形件成形中出现的起皱、破裂、焊缝移动这三种常见缺陷的主要影响因素,并得到了提高拼焊板方盒形件拉深成形性能各影响因素的最优组合;然后通过有限元分析找到了一种较优的变压边力曲线加载方式来提高拼焊板成形性能,并结合研究结果提出了存在一条最优的压边力曲线加载方式,能保证拼焊板方盒形件成形时不产生起皱破裂,而且焊缝移动量最小的设想,并通过有限元模拟分析进行了初步验证。建立了拼焊板方盒形件拉深成形过程变压边力预测的BP神经网络模型,实现了对不同模具结构、不同料厚比、不同材料情况下较优压边力加载曲线的预测。通过对比神经网络的预测结果与模拟分析得到的结果,发现吻合较好,而且相对误差在20%以内。
[Abstract]:With the increase of the number of cars, the consumption of petroleum energy is increasing. Nowadays, to solve the global energy problem, reducing automobile fuel consumption has become one of the main goals of automobile manufacturers. The successful application of TWB forming technology in automobile can effectively reduce the weight of car body and greatly improve the energy utilization ratio, which is in line with the requirements of energy saving and environmental protection in today's society. However, the forming of TWBs is more complex than that of common veneers, so in recent years, many scholars have done a lot of research on the forming technology of TWBs. In this paper, the square box part of TWFW plate is taken as the research object, and the numerical simulation analysis of the drawing process of the square box part of the TWTW plate with different thickness is carried out by using the finite element analysis software DYNAFORM. Firstly, by using orthogonal test range analysis, the main factors affecting the three common defects, such as wrinkling, cracking and weld moving, are determined. The optimum combination of factors affecting the forming performance of square box parts is obtained, and then a better loading method of variable blank force curve is found through finite element analysis to improve the forming performance of TWBs. Combined with the research results, an optimal loading mode of the blank holding force curve is put forward, which can ensure that the square box part of the TWW plate does not wrinkle and break and the welding seam movement is minimum. The results are preliminarily verified by finite element simulation analysis. The BP neural network model for predicting the variable blank holder force in the deep drawing process of square box part of TWB plate is established. The prediction of the optimal blank holder force loading curve under different die structure, different material thickness ratio and different material is realized. By comparing the prediction results of neural networks with those obtained by simulation analysis, it is found that the results are in good agreement and the relative error is less than 20%.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG386
本文编号：2282093
[Abstract]:With the increase of the number of cars, the consumption of petroleum energy is increasing. Nowadays, to solve the global energy problem, reducing automobile fuel consumption has become one of the main goals of automobile manufacturers. The successful application of TWB forming technology in automobile can effectively reduce the weight of car body and greatly improve the energy utilization ratio, which is in line with the requirements of energy saving and environmental protection in today's society. However, the forming of TWBs is more complex than that of common veneers, so in recent years, many scholars have done a lot of research on the forming technology of TWBs. In this paper, the square box part of TWFW plate is taken as the research object, and the numerical simulation analysis of the drawing process of the square box part of the TWTW plate with different thickness is carried out by using the finite element analysis software DYNAFORM. Firstly, by using orthogonal test range analysis, the main factors affecting the three common defects, such as wrinkling, cracking and weld moving, are determined. The optimum combination of factors affecting the forming performance of square box parts is obtained, and then a better loading method of variable blank force curve is found through finite element analysis to improve the forming performance of TWBs. Combined with the research results, an optimal loading mode of the blank holding force curve is put forward, which can ensure that the square box part of the TWW plate does not wrinkle and break and the welding seam movement is minimum. The results are preliminarily verified by finite element simulation analysis. The BP neural network model for predicting the variable blank holder force in the deep drawing process of square box part of TWB plate is established. The prediction of the optimal blank holder force loading curve under different die structure, different material thickness ratio and different material is realized. By comparing the prediction results of neural networks with those obtained by simulation analysis, it is found that the results are in good agreement and the relative error is less than 20%.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG386
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