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Numerical optimization on hot forging process of connecting rods based on RSA with experimental verification

机译:基于RSA与实验验证的连接杆热锻造过程的数值优化

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摘要

A new method of optimization on the hot forging tools for connecting rods was developed in this paper by combining response surface analysis (RSA) with finite element method (FEM). The central composite design (CCD) was prepared with three experimental factors and two optimal targets. The experimental factors which are extracted from design dimensions of the hot forging tool involve cavity center distance, cavity rotation angle, and flash thickness. The targets comprise the maximum forming load and tool wear depth, both of which can be obtained from finite element simulations of hot forging processes. Response surface analysis was implemented to establish the relationships between the targets and the factors. According to the simulation results, the S-type region between die cavities that was dominated by three factors has a significant impact on the metal flowing and forming defects during the hot forging process. The steel billet and forging tools were dimensionally redesigned based on the optimal combination of experimental factors. Practice forging and physical experiments were performed to verify the simulation results, and good agreement between experimental value and simulation value was obtained.
机译:本文通过将响应表面分析(RSA)与有限元法(FEM)相结合,在本文中开发了一种用于连接杆的热锻造工具的新方法。中央复合设计(CCD)用三个实验因素和两个最佳目标制备。从热锻工具的设计尺寸提取的实验因素涉及腔中心距离,腔旋转角度和闪光厚度。目标包括最大成形负载和刀具磨损深度,两者都可以从热锻造过程的有限元模拟中获得。实施响应面分析以建立目标与因素之间的关系。根据仿真结果,由三个因素主导的模腔之间的S型区域对热锻造过程中的金属流动和形成缺陷具有显着影响。基于实验因素的最佳组合,钢坯和锻造工具尺寸尺寸重新设计。进行实践锻造和物理实验以验证模拟结果,获得实验值与模拟值之间的良好一致性。

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