Embedding machining features in function blocks for distributed process planning

被引:24
|
作者
Wang, L. [1 ]
Jin, W.
Feng, H. -Y.
机构
[1] Natl Res Council Canada, Integrated Mfg Technol Inst, London, ON N6G 4X8, Canada
[2] Univ Western Ontario, Dept Mech & Mat Engn, London, ON N6A 5B9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
process planning; function block; machining features; job shop operation;
D O I
10.1080/09511920500399060
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
IEC 61499 function blocks, being emerging industrial process measurement and control standards, are chosen as data processing and execution control elements within the context of a distributed process planning ( DPP) system. A two-layer structure, consisting of supervisory planning (SP) and operation planning (OP), is identified to separate the generic process data from those machine-specific ones. Within DPP, function blocks are used for data encapsulation, machining parameter optimization, process monitoring, scheduling integration, and CNC control. From SP to OP, a function block evolves from meta function block, through object function block, to execution function block. The detailed design of a meta function block is depicted in this paper. A function block designer has been developed to help process planners de. ne basic function block types and generate composite function block networks. It is expected that the function block-enabled DPP approach and the associated algorithms can largely improve the dynamism of process plans as well as the flexibility and productivity of job shop operations in a changing environment.
引用
收藏
页码:443 / 452
页数:10
相关论文
共 50 条
  • [41] Peripheral Technology and Future Prospects of Computer Aided Process Planning for Machining
    Nishida I.
    Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 2021, 87 (05): : 397 - 400
  • [42] Interoperable STEP-NC Enabled Process Planning for Intelligent Machining
    Qiu, Xiaoli
    Xu, Xun
    Liu, Xiaojun
    MECHATRONICS AND INTELLIGENT MATERIALS, PTS 1 AND 2, 2011, 211-212 : 850 - +
  • [43] Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin
    Liu, Jinfeng
    Zhou, Honggen
    Liu, Xiaojun
    Tian, Guizhong
    Wu, Mingfang
    Cao, Liping
    Wang, Wei
    IEEE ACCESS, 2019, 7 : 19312 - 19323
  • [44] Research on online process planning for CNC machining in holonic control architecture
    Lin, Xiankun
    Li, Aiping
    Zhang, Weimin
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7934 - +
  • [45] Energy efficient process planning for resource-constrained machining systems
    Li, Lingling
    Li, Li
    Li, Congbo
    Tang, Ying
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 1392 - 1397
  • [46] Development of an integrated model for process planning and parameter selection for machining processes
    Gupta, D. P.
    Gopalakrishnan, B.
    Chaudhari, S. A.
    Jalali, S.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (21) : 6301 - 6319
  • [47] Robotic assembly planning and control with enhanced adaptability through function blocks
    Lihui Wang
    Bernard Schmidt
    Mohammad Givehchi
    Göran Adamson
    The International Journal of Advanced Manufacturing Technology, 2015, 77 : 705 - 715
  • [48] Robotic assembly planning and control with enhanced adaptability through function blocks
    Wang, Lihui
    Schmidt, Bernard
    Givehchi, Mohammad
    Adamson, Goran
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 77 (1-4) : 705 - 715
  • [49] Operation decomposition for freeform surface features in process planning
    Sun, GP
    Sequin, CH
    Wright, PK
    COMPUTER-AIDED DESIGN, 2001, 33 (09) : 621 - 636
  • [50] DPP: An agent-based approach for distributed process planning
    Wang, LH
    Shen, WM
    JOURNAL OF INTELLIGENT MANUFACTURING, 2003, 14 (05) : 429 - 439