An e-quality control model for multistage machining processes of workpieces

被引:0
|
作者
DaoYu Liu
PingYu Jiang
YingFeng Zhang
机构
[1] Xi’an Jiaotong University,State Key Laboratory for Manufacturing Systems Engineering
关键词
machining process flow; e-quality control model; measuring network; information template; quality information tracking; hierarchical control;
D O I
暂无
中图分类号
学科分类号
摘要
To track and control the changes of process quality attributes in multistage machining processes (MMPs), an e-quality control (e-QC) model is proposed. The e-QC model is defined as a quality information service node with e-formalizing technology, whose input/output and intermediate process (that is IPO) are known to other nodes, and its implemention in MMPs is provided. In order to establish the e-QC model, a measuring network is constructed to acquire the original quality data, and the changes of process quality attributes are monitored and diagnosed by the integrated quality analysis tools attached to the e-QC, which can be tracked by information template network in real time. Furthermore, a hierarchical control method is adopted to coordinate e-QCs, in which the quality loss and adjusting cost are used to quantify the opportunities for e-QCs to improve process quality. At last, a prototype is developed to verify the proposed methods.
引用
收藏
页码:2178 / 2194
页数:16
相关论文
共 50 条
  • [21] Real-time quality monitoring and predicting model based on error propagation networks for multistage machining processes
    Pingyu Jiang
    Feng Jia
    Yan Wang
    Mei Zheng
    Journal of Intelligent Manufacturing, 2014, 25 : 521 - 538
  • [22] Modeling of Machining Error Propagation Network for Multistage Machining Processes
    Liu, Daoyu
    Jiang, Pingyu
    INTELLIGENT ROBOTICS AND APPLICATIONS, PT II, PROCEEDINGS, 2008, 5315 : 408 - 418
  • [23] Study on machining error propagation for multistage processes
    Liu, D. Y.
    Jiang, P. Y.
    Guo, L.
    E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY, 2008, 10-12 : 379 - 384
  • [24] Enhancing e-quality for manufacture using Kalman Filter calibrated visual robotic control
    Kwon, Yongjin
    Huang, Simin
    Park, Yongmin
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2011, 27 (05) : 902 - 909
  • [25] Method and Application of Multistage Machining Quality Control Based on Minimum Overall Mean Quality Loss
    Yao, Yiyong
    Zhao, Liping
    Shao, Guoqiang
    Qin, Yongtao
    ADVANCED MATERIALS RESEARCH, 2011, 213 : 557 - +
  • [26] Assessing the effects of e-quality and e-satisfaction on website loyalty
    Yang Hao-Erl
    WSEAS: ADVANCES ON APPLIED COMPUTER AND APPLIED COMPUTATIONAL SCIENCE, 2008, : 69 - +
  • [27] Multistage machining processes variation propagation analysis based on machining processes weighted network performance
    Yongtao Qin
    Liping Zhao
    Yiyong Yao
    Damin Xu
    The International Journal of Advanced Manufacturing Technology, 2011, 55 : 487 - 499
  • [28] Multistage machining processes variation propagation analysis based on machining processes weighted network performance
    Qin, Yongtao
    Zhao, Liping
    Yao, Yiyong
    Xu, Damin
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 55 (5-8): : 487 - 499
  • [29] Designing Machining Processes for Workpieces of Solid-of-Revolution Type.
    Samek, Andrzej
    Kwatera, Marian
    Duda, Jan
    Przeglad Mechaniczny, 1986, 45 (12): : 13 - 16
  • [30] A modification of DMVs based state space model of variation propagation for multistage machining processes
    Yang, Fuyong
    Jin, Sun
    Li, Zhimin
    ASSEMBLY AUTOMATION, 2017, 37 (04) : 381 - 390