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An Investigation and Prediction of Springback of Sheet Metals under Cold Forming Condition

机译:冷成型条件下板材回弹的调查与预测

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Low formability and springback especially at room temperature are known to be major obstacles to advancements in sheet metal forming industries. The integration of numerical simulation within the R&D activities of the automotive industries provides a significant development in overcoming these drawbacks. The aim of the present work is to model and predict the springback of a Galvanized low carbon steel automotive panel part. This part suffers from both positive and negative springback which physically measured using CMM. The objective is to determine the suitable forming process parameters that minimize and compensate the springback through robust FE model. The analysis of the springback was carried out following (Isotropic model and Yoshida - Uemori model) which are calibrated through cyclic stress strain curve. The material data of the Galvanized low carbon steel was implemented via lookup tables in the commercial finite element software Pam-Stamp~((TM)). Firstly, the FE model was validated using the deformed part which suffers from springback problem at the same forming condition. The FE results were compared with the measured experimental trails providing very good agreement. Secondly, the validated FE model was used to determine the suitable forming parameters which could minimise the springback of the deformed part.
机译:众所周知,低可成形性和回弹,特别是在室温下是金属板形成行业方向的主要障碍。在汽车行业的研发活动中的数值模拟中的整合提供了克服这些缺点的显着发展。本作工作的目的是模拟和预测镀锌低碳汽车面板部件的回弹。该部分遭受了使用CMM物理测量的正和阴性回弹。该目的是确定通过强大的FE模型最小化和补偿回弹的合适的形成过程参数。通过循环应力应变曲线校准的(各向同性模型和吉士达 - Uemori模型)进行回弹的分析。镀锌低碳钢的材料数据通过商业有限元软件PAM标记〜((TM))中的查找表来实现。首先,使用在相同的形成条件下遭受回弹问题的变形部分来验证FE模型。将FE结果与测量的实验迹线进行比较,提供非常良好的一致性。其次,使用验证的Fe模型来确定合适的成形参数,其可以最小化变形部分的回弹。

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