首页> 外文期刊>Journal of Computational and Applied Research in Mechanical Engineering (JCARME) >Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram
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Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram

机译:深度绘图过程分析,以考虑逆有限元和基于延伸应变成形限制图的形成严重性

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An enhanced unfolding Inverse Finite Element Method (IFEM) has been used together with an extended strain-based forming limit diagram (EFLD) to develop a fast and reliable approach to predict the feasibility of the deep drawing process of a part and determining where the failure or defects can occur. In the developed unfolding IFEM, the meshed part is properly fold out on the flat sheet and treated as a 2D problem to reduce the computation time. The large deformation relations, nonlinear material behavior and friction conditions in the blank holder zone have also been considered to improve the accuracy and capability of the proposed IFEM. The extended strain-based forming limit diagram based on the Marciniak and Kuczynski (M-K) model has been computed and used to predict the onset of necking during sheet processing. The EFLD is built based on equivalent plastic strains and material flow direction at the end of forming. This new forming limit diagram is much less strain path dependent than the conventional forming limit diagram. Furthermore, the use and interpretation of this new diagram are easier than the stress-based forming limit diagram. Finally, two applied examples have been presented to demonstrate the capability of the proposed approach.
机译:增强的展开逆有限元方法(IFEM)已经与基于延长的应变的成形限制图(EFLD)一起使用,以开发一种快速可靠的方法来预测部分的深层绘制过程的可行性并确定故障的位置或可能发生缺陷。在发达的展开IFEM中,网状部分在平板上正确折叠并被视为2D问题以减少计算时间。坯料支架区域中的大变形关系,非线性材料行为和摩擦条件也被认为是提高所提出的IFEM的准确性和能力。已经计算了基于Marciniak和Kuczynski(M-K)模型的基于延伸的基于应变的成形限制图,并用于预测片材处理期间的颈缩。 EFLD基于成型结束时基于等效塑料菌株和材料流动方向构建。这种新的形成限制图比传统的成形限制图依赖于依赖性的应变路径得多。此外,这种新图的使用和解释比基于应力的成形限制图更容易。最后,已经提出了两个应用的例子以证明所提出的方法的能力。

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