Plastic wrinkling prediction in thin-walled part forming process： A review
Plastic wrinkling prediction in thin-walled part forming process： A review
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DOI：
10.1016/j.cja.2015.09.004
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发表时间：
2016-02
影响因子：
5.7
通讯作者：
L. Nan;Yang He;Heng Li;Yan Siliang
中科院分区：
文献类型：
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作者：
L. Nan;Yang He;Heng Li;Yan Siliang
航空航天领域迫切需要薄壁零件的精密成形。然而，由压缩失稳引起的起皱是薄壁零件成形中的主要缺陷之一。皱纹的产生和生长受到许多因素的交互影响，例如应力状态、材料的机械性能、工件的几何形状和边界条件。特别是当成形过程涉及复杂的边界条件时，如多模具约束、工件与模具之间间隙的摄动以及接触条件随时间和空间的变化等，起皱的预测更加复杂。本文总结了目前的预测方法，包括静力平衡法、能量法、初始缺陷法、特征值屈曲分析法、静隐式有限元法和动显式有限元法。然后，对这些方法的优点和局限性进行了系统的比较和总结。通过结合使用显式有限元方法、初始缺陷和能量守恒，建议采用混合方法来预测薄壁零件成型中的塑性起皱。最后，考虑到航空航天领域复杂薄壁结构零件的迫切需求，提出了复杂边界条件下起皱预测的趋势和挑战。
The precision forming of thin-walled components has been urgently needed in aviation and aerospace field. However, the wrinkling induced by the compressive instability is one of the major defects in thin-walled part forming. The initiation and growth of the wrinkles are interactively affected by many factors such as stress states, mechanical properties of the material, geometry of the workpiece and boundary conditions. Especially when the forming process involves complicated boundary conditions such as multi-dies constrains, the perturbation of clearances between workpiece and dies and the contact conditions changing in time and space, etc., the predication of the wrinkling is further complicated. In this paper, the current prediction methods were summarized including the static equilibrium method, the energy method, the initial imperfection method, the eigenvalue buckling analysis method, the static-implicit finite element method and the dynamic-explicit finite element method. Then, a systematical comparison and summary of these methods in terms of their advantages and limitations are presented. By using a combination of explicit FE method, initial imperfection and energy conservation, a hybrid method is recommended to predict plastic wrinkling in thin-walled part forming. Finally, considering the urgent requirements of complex thin-walled structures’ part in aviation and aerospace field, the trends and challenges in wrinkling prediction under complicated boundary conditions are presented.