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首页> 外文期刊>Steel Research International >Multi-scale Finite Element Cellular Automata Simulation of Multi-step Cold Forging Operations
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Multi-scale Finite Element Cellular Automata Simulation of Multi-step Cold Forging Operations

机译:多步冷锻操作的多尺度有限元胞自动机模拟

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摘要

The application of new materials to produce forged connecting parts is presented in this work. Particular attention is put on modern bainitic steels due to their increased ductile and strength properties, which influence the behaviour of final products under further exploitation conditions. Bainitic steels do not require a series of thermo-mechanical operations to obtain these elevated properties, which is one of the advantages of this material. Experimental analysis and numerical simulations of steel behaviour during multi-step cold forging operations are described in this paper. Since it is one of the possible fracture initiation mechanisms, strain localization development during cold forging is investigated in detail. Conventional constitutive models used in finite element programs have limitations in modeling stochastic and discontinuous phenomena that are responsible for strain localization. The cellular automata model is used as constitutive law in this work to overcome these difficulties and investigate material flow during multi-stage cold forging operations. Connection of the cellular automata (CA) and finite element (FE) methods creates a so-called multi-scale CAFE model. The main aspects of the model are described briefly in this paper. The experimental part of this work supports the numerical investigation. Comparison of the parameters measured and predicted by the CAFE model is presented and discussed as well.
机译:这项工作介绍了新材料在生产锻造连接件中的应用。由于贝氏体钢的延展性和强度特性增加,它们会影响最终产品在进一步开采条件下的性能,因此特别关注现代贝氏体钢。贝氏体钢不需要进行一系列的热机械操作即可获得这些提高的性能,这是该材料的优势之一。本文介绍了多步冷锻过程中钢行为的实验分析和数值模拟。由于这是可能的断裂引发机制之一,因此,将详细研究冷锻过程中应变的局部发展。有限元程序中使用的常规本构模型在建模负责应变局部化的随机和不连续现象方面存在局限性。元胞自动机模型在本工作中用作本构定律,以克服这些困难并研究多级冷锻操作中的物料流动。元胞自动机(CA)和有限元(FE)方法的连接创建了一个所谓的多尺度CAFE模型。本文简要介绍了模型的主要方面。这项工作的实验部分支持数值研究。同时介绍和讨论了由CAFE模型测量和预测的参数的比较。

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