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首页> 外文期刊>Journal of Optimization in Industrial Engineering >Designing Tolerance of Assembled Components Using Weibull Distribution
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Designing Tolerance of Assembled Components Using Weibull Distribution

机译:使用Weibull分布设计装配零件的公差

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Tolerancing is one of the most important tools for planning, controlling, and improving quality in the industry. Tolerancing conducted by design engineers to meet customers’ needs is a prerequisite for producing high-quality products. Engineers use handbooks to conduct tolerancing. While use of statistical methods for tolerancing is not a new concept, engineers often use known distributions, including the normal distribution. However, if the statistical distribution of the given variable is unknown, a new statistical method will be employed to design tolerance.?Therefore, in this study we want to offer a proper statistical method for determining tolerance. The use of statistical methods to design tolerance is not a new concept; however, flexible use of statistical distributions can enhance its performance. In this regard, Weibull distribution is proposed. To illustrate the proposed method first technical characteristics of production parts were selected randomly, and then manufacturing parameters were determined using maximum likelihood method. ?Finally, the Goodness of Fit test was used to ensure the accuracy of the obtained results.
机译:容忍是用于计划,控制和提高行业质量的最重要工具之一。设计工程师为满足客户需求而进行的公差处理是生产高质量产品的前提。工程师使用手册进行公差处理。尽管使用统计方法进行公差并不是一个新概念,但是工程师经常使用已知分布,包括正态分布。但是,如果给定变量的统计分布未知,将采用一种新的统计方法来设计公差。因此,在本研究中,我们希望提供一种确定公差的适当统计方法。使用统计方法设计公差并不是一个新概念;但是,灵活使用统计分布可以增强其性能。在这方面,提出了威布尔分布。为了说明所提出的方法,首先随机选择生产零件的技术特征,然后使用最大似然法确定制造参数。最后,使用拟合度检验来确保获得的结果的准确性。

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