Abstract
For complex welding, Petri net (PN) theory is adopted to model a welding flexible manufacturing system (WFMS) in this paper. When the model called the multi timed color Petri net (MTCPN) was designed, a professional simulation software package was used to test it theoretically. Then, a scheduling method was devised to optimize the conflicting information in the model. A welding experiment based on the model is carried out. The results of the welding experiment and the model simulation show that the modeling method is correct and feasible. This research presents a new way to optimize a WFMS and it develops the application area of PN theory.
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Abbreviations
- FMS:
-
Flexible manufacturing system
- WFMS:
-
Welding flexible manufacturing system
- PN:
-
Petri net
- TCPN:
-
Timed color Petri net
- MTCPN:
-
Multi timed color Petri net
- FPIOA:
-
Fuzzy Petri net model’s information optimizing arithmetic
- Definition alphabet t :
-
Transition
- Definition alphabet s :
-
Also called p, place
- Definition alphabet f :
-
A mapping from transitions to real values between 0 and 1, fluent
- Definition alphabet TF :
-
Time function
- Definition alphabet I :
-
Input function of inhibitor arc
- Definition alphabet O :
-
Output function of inhibitor arc
- CF:
-
Certainty factor
- FPN:
-
Fuzzy Petri net
- LB:
-
Latest backward incident set
- CPN:
-
Color Petri net
- SML:
-
Standard ML basis Library
References
Tao Q, Chen S, Lin W (2001) Petri net based modeling and analysis for welding flexible manufacturing cell. China Welding 10(1):1–6
Tao Q (2001) Research on system integration and optimized technology of welding flexible manufacture cell. Doctor paper of the Harbin Institute of Technology, People’s Republic of China
Zhen D, Zhao Q (2000) Discrete event dynamic system. Tsinghua University Press, Beijing, People’s Republic of China
Yuan C (1989) Petri net. Southeast University Press, Nanjing, People’s Republic of China
David R, Aolen H (1995) Du Grafcet aux réseaux de Petrix (translated by Huang J et al.). Press of the Mechanics Industry, Beijing, People’s Republic of China
Chen SM, Ke JS, Chang JF (1990) Knowledge representation using fuzzy Petri nets. IEEE Trans Knowl Data Eng 2(3):311–319
Gu Q (1999) Model and simulation on discrete event system. Tsinghua University Press, Beijing, People’s Republic of China
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Ma, G.H., Chen, S.B. Modeling and controling the FMS of a welding robot. Int J Adv Manuf Technol 34, 1214–1223 (2007). https://doi.org/10.1007/s00170-006-0691-3
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DOI: https://doi.org/10.1007/s00170-006-0691-3