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Multi Objective Optimization for Spur Gear design Using Sheep Flocks Heredity Model Algorithm

机译:使用绵羊群遗传模型算法进行浇口齿轮设计的多目标优化

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In a perspective of stable industrial development to manufacture added consistent and economical industrial product, gears are ever more focus to requirements in terms of power capability, efficiency and compactness etc. In order to increase the performance factors of gears such as transmission capacity, efficiency, gear life, etc. is a difficult criteria for a design engineers as these are all progress in a conflicting behavior. This paper deals with the multi-objective optimization of spur gear drive design with two contradictory objective functions such as maximization of power transmission and minimization of volume of the gear drive. These objectives are approached by an optimization technique based on a Sheep Flocks Heredity Model Algorithm (SFHM) with design constraints like stress, center distance etc. A spur gear problem is solved with traditional trial method and results are compared with proposed algorithm.
机译:在稳定的工业开发到制造的制造时,增加一致且经济的工业产品,齿轮在功率能力,效率和紧凑等方面更加注重要求的要求等。为了提高传输能力等齿轮的性能因素, 齿轮寿命等是设计工程师的困难标准,因为这些是在相互矛盾的行为中的所有进步。 本文涉及两种矛盾的客观函数的正轨齿轮驱动设计的多目标优化,例如电力传输的最大化和齿轮驱动量的最小化。 这些目标是通过基于绵羊群遗传模型算法(SFHM)的优化技术来接近具有压力,中心距离等的设计限制等。用传统试验方法解决了浇口齿轮问题,并将结果与提出的算法进行了比较。

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