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首页> 外文会议>International Symposium on Power Electronics, Electrical Drives, Automation and Motion >Design process of spoke-type PM motor using six sigma process with tolerance design
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Design process of spoke-type PM motor using six sigma process with tolerance design

机译：轮辐式永磁电机的设计过程采用六西格玛工艺并带有公差设计

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Six sigma process (SSP) is a process of providing the perfect products without any defects for their customers by considering both mean and variance of manufacturing imperfections. A few researchers have presented some papers on motor and/or drive considering performance variance as well as mean using the SSP. However, all of the presented papers cannot focus on the overall SSP, but mainly optimization step taking into account the probability of failure (POF). Therefore, there was lack of explanation for parts such as analysis of the effects of design factors (variables) on responses (objectives), how to minimize the number of optimized factors and how to optimize design factors considering POF by tolerance design (TD), and so on. This paper presents the full details of SSP from defining objectives to verifying design results with an example study of spoke-type PM motor design, which is applicable to motor design process including the above mentioned terms. SSP is composed of the five sequential steps i.e. Define-Measure-Analyze-Improve-Control (DMAIC) steps, while some analysis tools and statistical theories should be considered in each step. First of all, two important indexes i.e. Z-value and p-value along with the statistical analysis are explained in detail. Next, some useful tools for each step are explained e.g. Y-y mapping method in define step, Gage R&R in measure step, analysis of variance (ANOVA) in analyze step, response surface methodology (RSM) and tolerance design (TD) in improve step, and monte-carlo simulation (MSC) and process capability analysis (PCA) in control step, respectively. Finally, it is shown that the SSP is useful for motor design process to satisfy both the required performances and POF of spoke PM motor.
机译：六个sigma工艺（SSP）是通过考虑制造缺陷的均值和方差为客户提供完美产品而没有任何缺陷的过程。一些研究人员提出了一些有关电机和/或驱动器的论文，这些论文考虑了性能差异以及使用SSP的均值。然而，所有提出的论文都不能集中在整个SSP上，而主要是考虑到故障概率（POF）的优化步骤。因此，对于诸如设计因子（变量）对响应（目标）的影响的分析，如何最小化优化因子的数量以及如何通过公差设计（TD）考虑POF来优化设计因子的部分，缺乏解释。等等。本文以辐条式永磁电动机设计为例，介绍了从确定目标到验证设计结果的SSP的全部细节，适用于包括上述术语的电动机设计过程。 SSP由五个顺序步骤组成，即定义-测量-分析-改善控制（DMAIC）步骤，而在每个步骤中都应考虑一些分析工具和统计理论。首先，详细解释了两个重要指标，即Z值和p值以及统计分析。接下来，说明每个步骤的一些有用工具，例如定义步骤中的Yy映射方法，测量步骤中的Gage R＆R，分析步骤中的方差分析（ANOVA），改进步骤中的响应面方法（RSM）和公差设计（TD）以及蒙特卡洛仿真（MSC）和处理能力分析（PCA）分别在控制步骤中进行。最后，表明SSP对于电动机设计过程非常有用，可以同时满足辐条PM电动机的所需性能和POF。

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