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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Optimization of an aluminum profile extrusion process based on Taguchi's method with S/N analysis
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Optimization of an aluminum profile extrusion process based on Taguchi's method with S/N analysis

机译:基于Taguchi法和S / N分析的铝型材挤压工艺优化

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摘要

Taguchi's design of experiment and numerical simulation were applied in the optimization of an aluminum profile extrusion process. By means of HyperXtrude, the extrusion process was simulated and the effects of process parameters on the uniformity of metal flow and on the extrusion force were investigated with the signal to noise ratio and the analysis of variance. Through analysis, the optimum combination of process parameters for uniform flow velocity distribution was obtained, with the billet diameter of 170 mm, ram speed of 2.2 mm/s, die temperature of 465℃, billet preheated temperature of 480℃, and container temperature of 425℃. Compared with the initial process parameters, the velocity relative difference in the cross-section of extrudate was decreased from 2.81% to 1.39%. In the same way, the optimum process parameters for minimum required extrusion force were gained, with the billet diameter of 165 mm, ram speed of 0.4 mm/s, die temperature of 475℃, billet preheated temperature of 495℃, and container temperature of 445℃. A 24.7% decrease of required extrusion force with optimum process parameters was realized. Through the optimization analysis in this study, the extrusion performance has been greatly improved. Finally, the numerical results were validated by practical experiments, and the comparison showed that the optimization strategy developed in this work could provide the effective guidance for practical production.
机译:Taguchi的实验设计和数值模拟被应用于铝型材挤压工艺的优化。通过HyperXtrude,模拟了挤压过程,并通过信噪比和方差分析研究了过程参数对金属流动均匀性和挤压力的影响。通过分析,获得了均匀流速分布的工艺参数的最佳组合,钢坯直径为170 mm,模头速度为2.2 mm / s,模具温度为465℃,钢坯预热温度为480℃,容器温度为425℃。与初始工艺参数相比,挤出物横截面的速度相对差异从2.81%降低到1.39%。以相同的方式,获得了最小所需挤压力的最佳工艺参数,钢坯直径为165 mm,模头速度为0.4 mm / s,模头温度为475℃,钢坯预热温度为495℃,容器温度为445℃。在最佳工艺参数的情况下,所需的挤压力降低了24.7%。通过本研究的优化分析,挤出性能得到了极大的提高。最后,通过实际实验对数值结果进行了验证,比较结果表明,本文提出的优化策略可以为实际生产提供有效的指导。

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