流动成形过程中各种不耦合损伤模型的失效评估

Tuncay Yalçinkaya , Hande Vural , Tevfik Ozan Fenercioğlu
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引用次数: 0

摘要

流动成形是一种独特的金属成形工艺,利用特殊设计的滚轮和芯轴来塑造具有高尺寸精度和结构完整性的金属零件,特别是薄壁无缝管。由于该工艺的增量性质,材料受到复杂的应力状态和显著的塑性变形,这可能导致许多类型的缺陷和裂纹,因此准确的成形极限预测对于优化制造工艺至关重要。本文研究了非耦合损伤模型在预测IN718合金流动成形过程中断裂起裂和成形极限方面的能力。在这方面,有限元(FE)模拟中采用了十种不同的损伤标准,包括Ayada, Ayada-m, Brozzo, KH, Le-Roy (LR), McClintock (MC), Oh (Oh), Rice-Tracey (RT),并通过拉伸试验进行校准。随后,将这些模型应用于不同减厚率(37.5%、50%和70%)下的流动成形模拟。将结果与试验结果进行比较,以评估每种模型在成形极限和起裂方面的预测精度。初步研究表明,与其他标准相比,Ayada标准在预测所有减少比下的损伤方面都更好,使其特别适用于这一过程。此外,KH模型给出了类似的预测,尽管它不是在所有的还原比下都成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failure assessment through various uncoupled damage models in flow forming processes
Flow forming is a unique metal forming process that utilizes specially designed rollers and a mandrel to shape metal parts with high dimensional accuracy and structural integrity, especially for thin-walled, seamless tubes. Due to the incremental nature of the process, material is subjected to complex stress states and significant plastic deformation that can lead to many types of defects and cracks, and therefore it is crucial to make accurate forming limit predictions to optimize the manufacturing process. This study investigates the capabilities of uncoupled damage models in predicting fracture initiation and formability limits during the flow forming of IN718 alloy. In this regards ten different damage criteria are employed in Finite Element (FE) simulations including Ayada, Ayada-m, Brozzo, KH, Le-Roy (LR), McClintock (MC), Oh (OH), Rice-Tracey (RT), which are calibrated with tensile tests. Subsequently, these models are applied to flow forming simulations at varying thickness reduction ratios (37.5%, 50% and 70%). The results are compared with experimental trials to assess the prediction accuracy of each model regarding formability limits and fracture initiation. The initial investigations demonstrate that the Ayada criteria are better in predicting damage at all reduction ratios compared to other criteria, making them particularly suitable for this process. In addition, the KH model gives comparable predictions, although it is not successful at all reduction ratios.
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