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首页> 外文会议>Proceedings of the Fifteenth international conference on civil, structural and environmental engineering computing >Multi Objective Optimization of a Composite Drive Shaft using a Particle Swarm Algorithm
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Multi Objective Optimization of a Composite Drive Shaft using a Particle Swarm Algorithm

机译：基于粒子群算法的复合传动轴多目标优化

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This paper is about the design of a composite driveshaft which is optimized based on the filament orientation angles and stacking sequence. The Tsai-Wu first ply failure index, natural bending frequencies and critical buckling torque are considered when obtaining the optimum filament orientation angle for each ply. The ply thickness and number of layers are not allowed to vary in the study. The only design parameter is taken as the filament orientation angle of each ply. The main problem is the maximization of three objective functions as critical buckling torque, natural bending frequency and Tsai-Wu first ply failure index. As a result of the optimization study, many variations of filament orientation angles and stacking sequence are obtained and the results are discussed.
机译：本文是关于复合驱动轴的设计，该复合驱动轴基于细丝的定向角度和堆叠顺序进行了优化。在获得每层的最佳长丝取向角时，应考虑Tsai-Wu第一层失效指数，自然弯曲频率和临界屈曲扭矩。在研究中，层厚度和层数不允许变化。唯一的设计参数作为每个层的细丝取向角。主要问题是三个目标函数的最大化，例如临界屈曲扭矩，自然弯曲频率和蔡乌第一层破坏指数。优化研究的结果是，获得了长丝取向角和堆叠顺序的许多变化，并对结果进行了讨论。

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