Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes.
作者： Du Zhou , Xi Yuan , Haoxiang Gao , Ailing Wang , Jun Liu
DOI: 10.3791/53957
关键词:
摘要: The use of Finite Element (FE) simulation software to adequately predict the outcome sheet metal forming processes is crucial enhancing efficiency and lowering development time such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on substitution steel components with aluminum alloy alternatives automotive aerospace sectors has increased need simulate behavior alloys for ever more complex component geometries. However these alloys, particular their high strength variants, exhibit limited formability at room temperature, temperature manufacturing technologies have been developed form them. Consequently, advanced constitutive models are required reflect associated strain rate effects. Simulating computationally very expensive using conventional FE techniques. This paper presents a novel Knowledge Based Cloud (KBC-FE) technique that combines material friction simulations an efficient manner thus capability commercial packages. application methods demonstrated through two example case studies, namely: prediction material's limit under hot stamping conditions, tool life multi-cycle loading conditions.
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