Engineering method for adaptive manufacturing systems design

被引:25
作者
Pellicciari M. [1 ]
Andrisano A.O. [1 ]
Leali F. [1 ]
Vergnano A. [1 ]
机构
[1] Department of Mechanical and Civil Engineering, University of Modena and Reggio Emilia, Modena
来源
International Journal on Interactive Design and Manufacturing (IJIDeM) | 2009年 / 3卷 / 2期
关键词
Computer aided engineering; Mechatronic design; Virtual commissioning;
D O I
10.1007/s12008-009-0065-9
中图分类号
学科分类号
摘要
Adaptive manufacturing systems achieve intelligence and adaptation capabilities through the close interaction between mechanics, electronics, control and software engineering. Mechatronic design of intelligent manufacturing behaviours is of paramount importance for the final performances of complex systems and requires deep integration between mechanical and control engineering. Virtual Commissioning environments offer engineers new opportunities for the design of complex intelligent behaviours and for the enhancement of the performance of adaptive manufacturing systems. This paper discloses a systematic design method focused on interdisciplinary behavioural simulations: Virtual Commissioning tools are used to virtually explore new solution spaces for an effective mechatronic optimization. The results, achieved by applying the method in reengineering a module of an automotive sensor manufacturing line, are finally presented. © 2009 Springer-Verlag.
引用
收藏
页码:81 / 91
页数:10
相关论文
共 29 条
  • [11] Burmester S., Tichy M., Giese H., Modeling reconfigurable mechatronic systems with mechatronic UML, Proceedings of Model Driven Architecture: Foundations and Applications (MDAFA), (2004)
  • [12] Isermann R., Advanced methods of process computer control for industrial processes, Comput. Ind., 2, pp. 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, pp. 277-287, (2008)
  • [14] (2006)
  • [15] Broenink J.F., Kleijn C., Computer-aided design of mechatronic systems using 20-SIM 3.0, Proceedings of WESIC'99, 2nd Workshop on European Scientific and Industrial Collaboration, (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, pp. 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, pp. 169-177, (2005)
  • [18] Ferretti G., Magnani G.A., Rocco P., Virtual prototyping of mechatronic systems, Annu. Rev. Control, 28, 2, pp. 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, pp. 1416-1426, (2007)
  • [20] Johnson T.L., Improving automation software dependability: A role for formal methods?, Control Eng. Pract., 15, 11, pp. 1403-1415, (2007)