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首页> 外文会议>Proceedings of the 2009 spring technical conference of the ASME Internal Combustion Engine Division >A SIX SIGMA APPROACH TO IMPROVING EXHAUST VALVE RELIABILITY IN A STOICHIOMETRIC NATURAL GAS ENGINE
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A SIX SIGMA APPROACH TO IMPROVING EXHAUST VALVE RELIABILITY IN A STOICHIOMETRIC NATURAL GAS ENGINE

机译：改善化学计量比天然气发动机排气阀可靠性的六种SIGMA方法

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摘要

Six-sigma is a data-based problem solving methodology that is used to reduce production variation in order to improve product quality. It has typically been used by successful companies to optimize operational processes and assist with waste reduction.rnOver the past several years, Dresser Waukesha has incorporated Six-sigma tools into several different areas of product engineering. This paper will illustrate how Dresser Waukesha has used Six-sigma tools to assist with product design and validation processes for reliability improvements of exhaust valves.rnSeveral specific examples of Six-sigma tools will be provided as the improvement project follows the DMAIC process. The scope of this discussion will be limited to using Six-sigma tools in the measure, analyze and improve phases of the project, where product engineering is most involved.rnIn the measure phase, design of effective ratings charts that transform subjective visual assessments into quantifiable data for purposes of evaluating the effects of specific design parameters on critical wear metrics will be shown. Also, gauge repeatability & reproducibility for precise wear measurements will be discussed.rnDuring the analyze phase, the use of box plots, design of experiments tools and ANOVA statistical analyses for material selection, valve guide length and stem clearance determination will be explained.rnDuring the improve phase, an example of using the Pugh Matrix to compare different analytical concepts will be provided. Finally, an evaluation methodology that uses statistical capability analyses instead of traditionalrnanalyses of individual valve wear to validate long-term reliability and to minimize required test time will be explained.
机译：六西格玛是一种基于数据的问题解决方法，用于减少生产变化以提高产品质量。成功的公司通常使用它来优化操作流程并减少废物。过去几年，Dresser Waukesha已将Six-sigma工具整合到产品工程的多个不同领域中。本文将说明Dresser Waukesha如何使用6-sigma工具来协助产品设计和验证过程以改善排气门的可靠性。随着改进项目遵循DMAIC流程，将提供6-sigma工具的几个特定示例。讨论的范围将限于在涉及产品工程的项目的评估，分析和改进阶段中使用6-sigma工具.rn在评估阶段，设计有效的评级表以将主观视觉评估转化为可量化的将显示用于评估特定设计参数对关键磨损指标的影响的数据。此外，还将讨论用于精确磨损测量的量规可重复性和可重复性。在分析阶段，将说明箱形图的使用，实验工具的设计以及用于材料选择，阀导长度和阀杆间隙确定的ANOVA统计分析。改进阶段，将提供使用Pugh矩阵比较不同分析概念的示例。最后，将解释一种评估方法，该方法使用统计能力分析而不是传统的单个阀磨损分析来验证长期可靠性并最大程度地减少所需的测试时间。

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