基于Dynaform的钛合金板材冲压成形过程仿真与回弹预测研究
Dynaform-based Simulation and Rebound Prediction for Titanium Alloy Sheet Stamping Forming Process
钛合金因其优异的比强度、耐腐蚀性与高温性能,被广泛应用于航空航天、汽车及生物医疗等高端制造领域。然而,钛合金板材在冲压成形过程中因塑性差、弹性恢复大,极易产生回弹与起皱等缺陷,给模具设计与尺寸精度控制带来较大挑战。本文基于有限元仿真平台Dynaform,对TC4钛合金板材的冲压成形过程进行数值模拟与回弹预测研究。通过建立三维有限元模型,研究成形工艺参数(如压边力、摩擦系数、模具间隙及成形速度)对成形质量的影响规律,并采用弹塑性本构模型与回弹修正算法分析其变形机理。研究结果表明,适当提高压边力、优化摩擦条件与模具间隙可显著降低回弹量,提高制件成形精度。本文的研究为钛合金冲压模具优化设计及高精度成形提供了理论依据与工艺参考。
Titanium alloys, renowned for their exceptional specific strength, corrosion resistance, and high-temperature performance, are extensively utilized in advanced manufacturing sectors including aerospace, automotive, and biomedical applications. However, titanium alloy sheets often exhibit significant springback and wrinkling during stamping processes due to their limited plasticity and pronounced elastic recovery, posing substantial challenges for mold design and dimensional accuracy control. This study employs the Dynaform finite element simulation platform to conduct numerical modeling and springback prediction for TC4 titanium alloy sheet stamping. Through constructing a 3D finite element model, we investigate the influence of forming parameters (including blank holder force, friction coefficient, die clearance, and forming speed) on material quality. The deformation mechanisms are analyzed using a combined elastoplastic constitutive model and springback correction algorithm. Results demonstrate that optimizing blank holder force, improving friction conditions, and adjusting die clearance can significantly reduce springback while enhancing part formation accuracy. This research provides theoretical foundations and practical guidance for optimizing titanium alloy stamping dies and achieving high-precision forming processes.
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