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A two-pronged approach for the assessment of springback variability for sheet metal forming applications

机译:评估钣金成形应用中回弹变异性的两种方法

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Springback assessment for sheet metal forming processes is a challenging issue which requires to take into account complex phenomena (physical non linearities and uncertainties). We highlight that the stochastic analysis of metal forming process requires both a high precision and low cost numerical models and propose a two-pronged methodology to address these challenges. The deep drawing simulation process is performed using an original low cost semi-analytical approach based on a bending under tension model with a good accuracy for small random perturbations of the physical and process parameters. The springback variability analysis is performed using an efficient stochastic metamodel, namely a sparse version of the polynomial chaos expansion.
机译:钣金成形过程的回弹评估是一个具有挑战性的问题,需要考虑复杂的现象(物理非线性和不确定性)。我们着重指出,金属成形过程的随机分析既需要高精度又需要低成本的数值模型,并且提出了两方面的方法来应对这些挑战。深拉伸模拟过程是使用原始的低成本半分析方法进行的,该方法基于张力模型下的弯曲,对于物理和过程参数的较小随机扰动具有良好的精度。使用有效的随机元模型(即多项式混沌扩展的稀疏版本)执行回弹变异性分析。

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