• 论文 •    

基于波动轨迹图的多工序过程能力量测方法

刘道玉,江平宇   

  1. 西安交通大学 机械制造系统工程国家重点实验室,陕西西安710049
  • 出版日期:2009-08-15 发布日期:2009-08-25

Measuring multistage machining process capability based on process variation trajectory chart

LIU Dao-yu, JIANG Ping-yu   

  1. State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
  • Online:2009-08-15 Published:2009-08-25

摘要: 为解决单工序单质量特性过程评价方法不能直接用于多工序多质量特性过程能力评价的问题,提出了一种基于工序波动轨迹图的多工序过程能力评价方法。首先,把各工序在不同时刻的状态,描绘在由过程偏移度和过程稳定度组成的工序流波动平面上,形成工序波动轨迹图。在此基础上,讨论了不同规范限情形下的过程能力与过程合格率之间的关系,并基于合格率构建了多工序过程的能力指数。依据建立的多工序过程能力指数和波动轨迹图,分析各工序改进的机会和方向。最后,以柴油机连杆加工为例说明了该方法的可行性。

关键词: 工序流, 工序波动轨迹图, 过程能力指数, 多工序能力, 合格率

Abstract: Process capability index has been widely used to measure the quality level of product in modern manufacturing industry. And most of the process capability indices are only suitable to measure single quality attribute at single stage. However, there are often multiple quality attributes for multiple machining processes. As for this issue, a multiple process capability evaluation method was proposed based on process variation trajectory chart (PVTC). In here, the amplitude of process mean deviating from its target and degree of process stability were used to construct process performance plane (PPP), and the PVTC of different quality attributes at different stages were plotted with time. And then, the mathematical relationships between process capability index and process yield were defined for bilateral and unilateral specifications respectively. Based on this, a multiple process capability index (MPCI) was established based on process yield. In order to measure the performance of the actual machining process, a weighted MPCI was also provided, which was a weighted sum of each process capability of different stages. According to the PVTC and the MPCI, the stages whose process capability were not enough could be identified, and the corresponding improvement opportunity could also be provided. At last, a connecting rod of diesel engine was used to verify the proposed method.

Key words: machining process flow, process variation trajectory chart, process capability index, multi-stage capability index, process yield

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