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针对超高强钢帽形件链模成形中回弹机制复杂、成形几何精度不足的问题，提出一种复合机制解耦与协同预测的回弹分析方法。该方法将超高强钢强包辛格效应与路径依赖性引起的回弹行为解耦为同步回弹与序贯回弹两种机制，并采用指数衰减权重函数实现动态耦合。同步回弹中，构建基于网格点云的循环神经网络模型，计算具有全局耦合特征的多模具回弹。序贯回弹中，提出分段等效梁理论的纵轴线变形分解方法，计算具有局部累积效应的逐模具回弹。引入指数衰减权重函数耦合两种机制预测结果，实现整体回弹行为协同预测。通过MS1500超高强钢帽形件链模成形有限元分析验证模型预测精度，结果表明该方法在侧壁与腹板区域预测值与仿真值高度吻合，能够揭示链模成形回弹的局部累积-全局耦合机制。
Abstract：The springback mechanism is complex and the forming geometric accuracy is insufficient in chain-die forming of ultra-high-strength steel hat-shaped part. Aiming at the problem, a springback analysis method based on composite mechanism decoupling and collaborative prediction was proposed. The springback behavior caused by the strong Bauschinger effect and path dependency of ultra-high-strength steel is decoupled into two mechanisms including concurrent springback and sequential springback, with dynamic coupling achieved using an exponential decay weighting function. For concurrent springback, a recurrent neural network model constructed from mesh point clouds was constructed to compute multi-die springback with global coupling characteristics. For sequential springback, the segmented equivalent beam theory is applied to decompose deformation along the longitudinal axis, enabling the calculation of die-by-die springback with local cumulative effects for each die. By adopting exponential decay weighted function to couple the prediction results of two mechanisms, collaborative prediction of the overall springback behavior was realized. A finite element model for MS1500 ultra-high-strength steel hat-shaped part chain-die forming was established to verify the accuracy of the proposed model. The results show that the predicted values in the sidewall and the web regions agree closely with the simulation values, by which the local accumulation-global coupling mechanism of springback in chain-die forming can be revealed.
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基本信息:
中图分类号:U466;TG306
引用信息:
[1]刘敏,高畅,余海东.超高强钢帽形件链模成形回弹机制分析与变形预测[J].塑性工程学报,2026,33(07):31-40.
基金信息:
国家重点研发计划(2024YFB3410702)
2026-07-20
2026-07-20
2026-07-20