首页> 外文期刊>Transactions of the Indian Institute of Metals >A Study on Optimal Design of Process Parameters in Tube Drawing Process of Rectangular Parts by Combining Box-Behnken Design of Experiment, Response Surface Methodology and Artificial Bee Colony Algorithm
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A Study on Optimal Design of Process Parameters in Tube Drawing Process of Rectangular Parts by Combining Box-Behnken Design of Experiment, Response Surface Methodology and Artificial Bee Colony Algorithm

机译:实验,响应面方法和人工蜂菌算法组合矩形零件管拉伸过程工艺参数的最优设计研究

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摘要

Tube drawing process is comprised of many factors that have great impact on the formed part quality and die life. In producing polygonal sections from round tube, due to accumulation of residual stress in corners, the final shape of the drawn part is to some extent different from what is expected. Therefore, selection of optimal combination of drawing parameters for enhancing the parts quality and die life is crucial. In the present paper, a complete multi criteria optimization procedure starting from numerical modeling, and leading to the search of robust optimal process parameters is proposed. A numerical model of tube drawing process of aluminum alloy for rectangular section is developed by means of ABAQUS and validated experimentally. Then a total set of 27 numerical tests are conducted based on four-factors and three levels Box-Behnken design to correlate empirical relationship between factors (i.e., die angle, bearing length, friction coefficient and drawing velocity) and responses (i.e., drawing force, linear and peripheral thickness distributions and dimensional error). Response surface model of each quality characteristic is obtained and analysis of variances is performed to check the adequacy of developed models. Finally the obtained RSM models are integrated with their weight factors and the objective function is formed. This function is then associated with artificial bee colony (ABC) algorithm to find factor combination regarding minimum drawing force and dimensional error, as well as maximum thickness distributions. Results indicate that the optimal result obtained through RSM-ABC is in agreement with those derived from simulations and confirmatory experiments.
机译:管绘图过程由许多因素组成,对形成的部分质量和模具生命产生很大影响。在从圆管中产生多边形部分时,由于角落的残余应力的积累,所绘制部分的最终形状在一定程度上不同于预期的范围。因此,选择提高零件质量和模具生命的绘制参数的最佳组合是至关重要的。在本文中,提出了一种从数值建模开始的完整的多标准优化过程,并导致搜索强大的最佳过程参数。通过ABAQUS开发了矩形截面铝合金管拉伸过程的数值模型,通过ABAQU进行了实验验证。然后,基于四个因素和三级Box-Behnken设计进行了总组27个数值测试,以将因素(即,模具角度,轴承长度,摩擦系数和绘制速度)和响应之间的经验关系相关(即,绘制力线性和外围厚度分布和尺寸误差)。获得每个质量特性的响应表面模型,并进行差异分析,以检查开发模型的充分性。最后,所获得的RSM模型与其重量因子集成,并形成目标函数。然后,该函数与人工蜂菌落(ABC)算法相关联,以找到关于最小绘制力和尺寸误差的因子组合,以及最大厚度分布。结果表明,通过RSM-ABC获得的最佳结果与源自模拟和确认实验的人一致。

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