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Genetic Approach for Multiobjective Optimization of Epicyclical Gear Train

机译：环状齿轮系多目标优化的遗传方法

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摘要

The determination of optimal design of the planetary gear train with a lightweight, a short center distance, and a high efficiency is an important issue in the preliminary design of power transmission systems. Conventional and traditional methods have been widely used in optimization. They are deterministic and limited to solve some mechanical problems with several variables and constraints. Therefore, some optimization methods have been developed, such as the nonconventional method, the genetic algorithm (GA). This paper describes a multiobjective optimization for the epicyclical gear train system using the GA. It is aimed to obtain the optimal dimensions for epicyclical gear components like a module, number of teeth, the tooth width, the shaft diameter of the gears, and a performed efficiency under the variation of operating mode of PGT system. The problem is formulated under the satisfaction of assembly and balance constraints, bending strength, contact strength of teeth, and other dimension conditions. The mathematical model and all steps of the GA are presented in detail.
机译：轻量级，短中心距离的行星齿轮系最佳设计的确定是电力传输系统初步设计中的一个重要问题。常规和传统方法已广泛用于优化。它们是确定性的，有限的，以解决几个变量和约束的一些机械问题。因此，已经开发了一些优化方法，例如非共同方法，遗传算法（GA）。本文介绍了使用GA的环形齿轮系系统的多目标优化。旨在获得类似于模块，齿数，齿宽，齿轮的齿宽，齿宽，轴直径的最佳尺寸，以及在PGT系统的操作模式的变化下的执行效率。该问题是在装配和平衡约束，弯曲强度，牙齿接触强度和其他尺寸条件下的满意的。详细介绍了数学模型和GA的所有步骤。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第22期|9324903.1-9324903.10|共10页
  • 作者

    Daoudi Kaoutar; Boudi El Mosthapha; Abdellah Mohsine;

  • 作者单位

    Mohammed V Univ Rabat Energet Team Mech & Ind Syst EMISys Mohammadia Sch Engineers BP 765 Rabat Morocco;

    Mohammed V Univ Rabat Energet Team Mech & Ind Syst EMISys Mohammadia Sch Engineers BP 765 Rabat Morocco;

    Mohammed V Univ Rabat Energet Team Mech & Ind Syst EMISys Mohammadia Sch Engineers BP 765 Rabat Morocco;

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