An intelligent modeling system to improve the machining process quality in CNC machine tools using adaptive fuzzy Petri nets

International Journal of Advanced Manufacturing Technology

Volumn 29, Issue 9-10, 2006, Pages 1050-1061

  Kasirolvalad, Z ^a   Motlagh, M R Jahed ^a   Shadmani, M A ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Adaptive fuzzy Petri net; AND OR net; CNC machine tool; Control of machining process quality; Knowledge representation; Product quality

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEMS; FUZZY SETS; KNOWLEDGE REPRESENTATION; MACHINE TOOLS; MACHINING; PETRI NETS; ROBOTICS;

ADAPTIVE FUZZY PETRI NET; AND/OR NET; CNC MACHINE TOOL; CONTROL OF MACHINING PROCESS QUALITY; PRODUCT QUALITY;

KNOWLEDGE BASED SYSTEMS;

EID: 33746869277     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-005-2551-y     Document Type: Article

References (20)

1. Nanfara F, Uccello T, Murphy D (1999) The CNC workshop: a multimedia introduction to computer numerical control. Addison-Wesley, Boston
2. Bradley D, Seward D, Dawson D, Burge S (2000) Mechatronics and the design of intelligent machines and systems. Stanley Thornes, London
3. David R, Alla H (1992) Petri Nets and Grafcet. Prentice-Hall, New York
4. Hanna M (1994) Determination of product quality from an FMS cell using fuzzy Petri nets. Systems, Man, and Cybernetics Conf, pp 2002-2007
5. Hanna M, Buck A, Smith R (1994) Fuzzy Petri nets to model and control output quality from an flexible manufacturing cell. Proc Computer Integrated Manufacturing and Automation Technology, pp 87-92
6. Hanna M, Buck A, Smith R (1995) Synergistc fuzzy time Petri nets to model and control product quality in flexible machining centre. IEEE Int. Conf. on Syst, Man, Cybern "Intelligent systems for 21 Century", pp 1345-1350
7. Hanna M (1995) An intelligent architecture for the simulation of product quality in a machining centre. IEE Colloquium on Manufacturing Simulation, pp 3/1-3/9
8. Hanna M (1996) Modeling products quality from a CNC machining centre using fuzzy Petri nets with neural networks. Emerging technologies and factory automation Conf, pp 440-445
9. Hanna M, Buck A, Smith R (1996) Fuzzy Petri nets with neural networks to model product quality from a CNC-milling machining centre. IEEE Trans Syst, Man, Cybern-Part A 26(5):638-645
10. Jahed Motlagh MR, Kasirolvalad Z (2004) Modeling and control of product quality in CNC machines with adaptive fuzzy Petri nets. In: Proceedings of The 23rd IASTED Int Conference on Modeling, Identification, and Control, Grindelwald, Switzerland, pp 333-338
11. Kasirolvalad Z, Jahed Motlagh MR (2004) An intelligent architecture for control of machining operation process in CNC machine tool. In: Proceedings of the Int. Conference on Artificial Intelligence, Las Vegas, NV, I, pp 433-436
12. Sanderson AC, Cao T (1996) Intelligent task planning using fuzzy Petri nets. World Scientific, Toh Tuck Link, Singapore
13. Chen S, Ke J, Chang J (1990) Knowledge representation using fuzzy Petri nets. IEEE Trans Knowl Data Eng 2(3):311-319
14. Yeung DS, Tsang ECC (1998) A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Trans Syst, Man, Cybern-Part A: Syst Hum 28(2):149-158
15. Cardoso J, Camargo H (1999) Fuzziness in Petri nets. Springer, Berlin Heidelberg New York
16. Li X, Yu W, Lara-Rosano F (2000) Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework. IEEE Trans Syst, Man Cybern-Part C: Appl Rev 30(4):442-450
17. Homem-de-Mello LS, Sanderson AC (1990) AND/OR graph representation of assembly plans. IEEE Trans Robot Automat 6(2):188-199
18. Homem-de-Mello LS, Sanderson AC (1990) Evaluation and selection of assembly plans. Proc IEEE International Conf. on Robotics and Automation 3:1588-1593
19. Durkin J (1994) Expert systems, design and development. Prentice-Hall, New York
20. Andreu D, Pascal JC, Valette R (1997) Fuzzy Petri net-based programmable logic controller. IEEE Trans Syst, Man Cybern-Part B 27(6):952-961