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首页> 外文会议>International Conference on e-Manufacturing: An Emerging Need for 21st Century World Class Enterprises; 20021117-20021119; Bhopal; IN >Design Optimization of Tolerances for Assemblies Using Genetic Algorithm (GA)
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Design Optimization of Tolerances for Assemblies Using Genetic Algorithm (GA)

机译：使用遗传算法（GA）的装配公差设计优化

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摘要

The Important problem that faces design engineers is flow to assign tolerance limits. In practical applications, tolerances are most often assigned as an information compromise between functionality, quality and manufacturing cost. Frequently the comprise is obtained iteratively by trial and error. A more scientific approach is often desirable for better performance. So, in this work, it is proposed to use genetic algorithm (GA) for the design of tolerances for assemblies. The dimension considered in this work is an assembly made up of four components. The problem is to design the tolerance of individual components to achieve the required assembly tolerance the zero percentage rejection. The above problem is successfully solved using the proposed algorithm and the result is presented.
机译：设计工程师面临的重要问题是分配公差极限的流程。在实际应用中，公差通常是功能，质量和制造成本之间的信息折衷。通常，包含内容是通过反复试验反复获得的。通常需要更科学的方法以获得更好的性能。因此，在这项工作中，建议使用遗传算法（GA）来设计装配公差。在这项工作中考虑的尺寸是由四个零件组成的组件。问题是设计单个组件的公差以实现所需的零公差的装配公差。使用所提出的算法成功解决了上述问题，并给出了结果。

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