Engineering method for adaptive manufacturing systems design

International Journal on Interactive Design and Manufacturing

Volumn 3, Issue 2, 2009, Pages 81-91

  Pellicciari, Marcello ^a   Andrisano, Angelo O ^a   Leali, Francesco ^a   Vergnano, Alberto ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Computer aided engineering; Mechatronic design; Virtual commissioning

Indexed keywords

EID: 67349153832     PISSN: 19552513     EISSN: 19552505     Source Type: Journal    
DOI: 10.1007/s12008-009-0065-9     Document Type: Article

References (29)

1. Manufuture High Level Group and Support Group: ManuFuture Platform - STRATEGIC RESEARCH AGENDA, assuring the future of manufacturing in Europe. In: Manufuture Conference 2005 "Making it in Europe", Derby, UK, December 2005
2. Burmester S., Giese H., Münch E., Oberschelp O., Klein F., Scheideler P.: Tool support for the design of self-optimizing mechatronic multi-agent systems. Int. J. Softw. Tools Technol. Transf. 10, 207-222 (2008)
3. Isermann, R.: Mechatronic systems' a challenge for control engineering. In: Proceedigs of the American Control Conference, Albuquerque, New Mexico, USA, June 1997
4. AberdeenGroup Inc.: The Mechatronics System Design Benchmark Report. AberdeenGroup White Paper, Boston, MA, USA (2006)
5. Auslander M.: What is mechatronics?. IEE/ASME Trans. Mechatron. 1 (1), 5-9 (1996)
6. Reinhart G., Ẅnsch G.: Economic application of virtual commissioning to mechatronic production systems. Prod. Eng. Res. Dev. 1, 371-379 (2007)
7. Mahmoud-Jouini S.B., Midler C., Garel G.: Time-to-market vs. time-to delivery. Managing speed in engineering, procurement and construction projects. Int. J. Proj. Manag. 22, 359-367 (2004)
8. Li, P.Y., Horowitz, R.: Self-optimizing control. In: Proceedings of the 36th Conference on Decision & Control, San Diego, California, USA, December 1997
9. Zouriktuev V.T.: Mechatronic machine-tool systems. Russ. Eng. Res. 28 (1), 69-73 (2008)
10. Cao Y., ElMaraghy H.A., Azab A.: Reconfigurable control structure for robots in assembly. J. Intell. Robot. Syst. 50, 419-439 (2007)
11. Burmester, S., Tichy, M., Giese, H.: Modeling reconfigurable mechatronic systems with mechatronic UML. In: Proceedings of Model Driven Architecture: Foundations and Applications (MDAFA), Linköping, Sweden, June 2004
12. Isermann R.: Advanced methods of process computer control for industrial processes. Comput. Ind. 2, 59-72 (1981)
13. Trappey A.J.C., Hsiao D.W.: Applying collaborative design and modularized assembly for automotive ODM supply chain integration. Comput. Ind. 59 (2-3), 277-287 (2008)
14. ARC Advisory Group: V5 Automation Platform: Merging Digital Manufacturing with Automation. ARC White Paper, Dedham, MA USA, 2006
15. Broenink, J.F., Kleijn, C.: Computer-aided design of mechatronic systems using 20-SIM 3.0. In: Proceedings of WESIC'99, 2nd Workshop on European Scientific and Industrial Collaboration, Newport, UK, September 1999
16. Kanai S., Miyashita T., Tada T.: A multi-disciplinary distributed simulation environment for mechatronic system design enabling hardware-in-the-loop simulation based on HLA. Int. J. Interact. Des. Manuf. 1, 175-179 (2007)
17. Shen Q., Gausemeier J., Bauch J., Radowski R.: A cooperative virtual prototyping system for mechatronic solution elements based assembly. Adv. Eng. Inform. 19, 169-177 (2005)
18. Ferretti G., Magnani G.A., Rocco P.: Virtual prototyping of mechatronic systems. Annu. Rev. Control 28 (2), 193-206 (2004)
19. Flordal H., Fabian M, Akesson K., Spensieri D.: Automatic model generation and PLC-code implementation for interlocking policies in industrial robot cells. Control Eng. Pract. 15 (11), 1416-1426 (2007)
20. Johnson T.L.: Improving automation softAare dependability: a role for formal methods?. Control Eng. Pract. 15 (11), 1403-1415 (2007)
21. Kandare G., Godena G., Strmčnik S.: A new approach to PLC software design. ISA Trans. 42, 279-288 (2003)
22. Danielsson F., Moore P., Eriksson P.: Validation, off-line programming and optimization of industrial control logic. Mechatronics 13 (6), 571-585 (2003)
23. Andrisano, A.O., Leali, F. Pellicciari, M., Pini, F., Vergnano, A.: Design methods for intelligent robotic deburring cells. In: Proceedings of the 6th International Conference on Processing and Manufacturing of Materials, Salerno, Italy, June 2007
24. Gruver W.A., Thompson C.T., Chawla S.D., Schmitt L.A.: CAD off-line programming for robot vision. Robotics 1, 77-87 (1985)
25. Timmerman M., Ume C.: Integrated hardware and software design in mechatronics laboratory courses. Mechatronics 4 (5), 539-549 (1994)
26. Habib, M.K.: Mechatronics engineering the evolution, the needs and the challenges. In: Proceedings of the IEEE Industrial Electronics IECON 2006, pp. 4510-4515, Paris, France (2006)
27. Hewit J.: MechaTronics design: the key to performance enhancement. Robot. Auton. Syst. 19 (2), 135-142 (1996)
28. AberdeenGroup Inc.: Digital Manufacturing Planning: Concurrent Development of Product and Process. AberdeenGroup White Paper, Boston, MA USA (2007)
29. Barbanti, G.: System for predetermining critical value of device for inspecting radial deformation of tire, composed of member for controlling pulling force caused by tire's pressure, belleville washer, and member for controlling state of equilibrium against pulling force. Patent IPC: B60C23/06, 2004