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兵工学报 ›› 2020, Vol. 41 ›› Issue (7): 1408-1416.doi: 10.3969/j.issn.1000-1093.2020.07.019

• 论文 • 上一篇    下一篇

基于工艺因素统计量化的多工序制造质量建模

李伊1, 张发平1, 阎艳1, 张田会2, 周建华3, 郭飞燕4   

  1. (1.北京理工大学 机械与车辆学院, 北京 100081; 2.北京机电工程研究所, 北京 100074;3.北京动力机械研究所 总装中心, 北京 100074; 4.中国航空制造技术研究院, 北京 100024)
  • 收稿日期:2019-08-22 修回日期:2019-08-22 上线日期:2020-09-23
  • 通讯作者: 张发平(1970—), 男, 副教授, 硕士生导师 E-mail:zhangfaping_bitiel@163.com
  • 作者简介:李伊(1989—), 男, 博士研究生。 E-mail: liyi_ielab@bit.edu.cn
  • 基金资助:
    国家自然科学基金项目(51805502); 国家部委基础科研项目(JSZL2016204B102); 装备预先研究基金项目(JZX7Y20190242012201)

Multi-stage Manufacturing Quality Modeling Based on Process Factors Statistics and Quantization

LI Yi1, ZHANG Faping1, YAN Yan1, ZHANG Tianhui2, ZHOU Jianhua3, GUO Feiyan4   

  1. (1.School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; 2.Beijing Electro-mechanical Engineering Institute, Beijing 100074, China; 3.Assembly Center, Beijing Power Machinery Institute, Beijing 100074, China; 4.AVIC Manufacturing Technology Institute, Beijing 100024, China)
  • Received:2019-08-22 Revised:2019-08-22 Online:2020-09-23

摘要: 针对现有复杂武器装备多工序制造系统(MSMS)模型描述不全面、分析结果不准确的问题,在充分分析MSMS特点的基础上,提出质量传递综合模型(QTCM),建立了多工序质量传递过程的严格数学表达。在QTCM的框架范围内,分别借助心理学和统计学知识,对以往难以量化的操作者能力和制造设备状态进行量化。采用制造过程历史数据构建影响因素和质量输出之间的映射关系,建立了质量的传递过程。通过分析各影响因素对产品质量偏差的贡献量,确定影响多工序制造质量的主要误差源,进而为产品质量的提升提供指导。以某型号导弹发动机转子系统为例进行了验证,结果表明,QTCM可以方便地借助原材料质量或工艺质量计算获得产品的最终质量分布状况,分析结果与工厂测量结果一致。

关键词: 制造质量, 多工序, 数据驱动, 质量控制, 转子系统

Abstract: For the incomplete description and inaccurate analysis results of existing multi-stage manufacturing system (MSMS) model for complex weapon equipment, a quality transfer comprehensive model (QTCM) is proposed based on the characteristics of MSMS, which gives a strict mathematical expression of multi-stage quality transfer process. In the framework of QTCM, the operator capability and the manufacturing equipment state are quantified for the influencing factors of product quality with the help of psychological and statistical knowledge, which were often ignored in the past. For the transfer process of the quality, the mapping relationship between influencing factors and quality output is constructed by using historical data of the manufacturing process. For the improvement of product quality, the main error sources affecting the quality are determined by analyzing the contribution of each factor, which guides the improvement of product manufacturing quality. The analysis of rotor system of a missile engine shows that the final quality distribution can be easily calculated according to the quality of raw materials or process quality, and the analyzed results are in agreement with the measured results. Key

Key words: manufacturingquality, multi-stagemanufacturingprocess, datadriving, qualitycontrol, rotorsystem

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