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Investigation of cold extrusion process using coupled thermo-mechanical FEM analysis and adaptive friction modeling

机译:使用耦合热机械有限元分析和自适应摩擦模型的冷挤出工艺研究

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Cold extrusion processes are known for their excellent material usage as well as high efficiency in the production of large batches. Although the process starts at room temperature, workpiece temperatures may rise above 200°C. Moreover, contact normal stresses can exceed 2500 MPa, whereas surface enlargement values can reach up to 30. These changes affects friction coefficients in cold extrusion processes. In the current study, friction coefficients between a plain carbon steel C4C (1.0303) and a tool steel (1.2379) are determined dependent on temperature and contact pressure using the sliding compression test (SCT). In order to represent contact normal stress and temperature effects on friction coefficients, an empirical adaptive friction model has been proposed. The validity of the model has been tested with experiments and finite element simulations for a cold forward extrusion process. By using the proposed adaptive friction model together with thermo-mechanical analysis, the deviation in the process loads between numerical simulations and model experiments could be reduced from 18.6% to 3.3%.
机译:冷挤出工艺以其优异的材料用途,以及大批次生产的高效率。虽然该过程在室温下开始,但工件温度可能上升到200℃以上。此外,接触正常应力可以超过2500MPa,而表面放大值可以达到30倍。这些变化影响冷挤出过程中的摩擦系数。在目前的研究中,普通碳钢C4C(1.0303)和工具钢(1.2379)之间的摩擦系数取决于使用滑动压缩试验(SCT)的温度和接触压力。为了代表接触正常应力和对摩擦系数的温度效应,已经提出了经验性自适应摩擦模型。模型的有效性已经通过实验和有限元模拟进行了用于冷前挤出过程的实验和有限元模拟。通过使用所提出的自适应摩擦模型以及热力学分析,数值模拟和模型实验之间的过程负载的偏差可以从18.6%降至3.3%。

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