AN INTELLIGENT ENVIRONMENT FOR SIMULATING MECHANICAL ASSEMBLY OPERATIONS

Rapid technical advances in many dierent areas of scientic computing provide the enabling technologies for creating a comprehensive simulation and visualization environment for assembly design and planning. We have built an intelligent environment in which simple simulations can be composed together to create complex simulations for detecting potential assembly problems. Our goal in this project is to develop high delity assembly simulation and visualization tools that can detect assembly related problems without going through physical mock-ups. In addition, these tools can be used to create easy-to-visualize instructions for performing assembly and service operations.

[1]  Daniel E. Whitney,et al.  Aids for the design or choice of assembly sequences , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

[2]  Arthur C. Sanderson,et al.  A correct and complete algorithm for the generation of mechanical assembly sequences , 1991, IEEE Trans. Robotics Autom..

[3]  Kiam Tian Seow,et al.  A temporal framework for assembly sequence representation and analysis , 1994, IEEE Trans. Robotics Autom..

[4]  Arthur C. Sanderson,et al.  A correct and complete algorithm for the generation of mechanical assembly sequences , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[5]  Christiaan J. J. Paredis,et al.  Micro planning for mechanical assembly operations , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[6]  Kunwoo Lee,et al.  A hierarchical data structure for representing assemblies: part I , 1985 .

[7]  Jami J. Shah,et al.  Assembly modeling as an extension of feature-based design , 1993 .

[8]  Sukhan Lee,et al.  Combining assembly planning with redesign: an approach for more effective DFA , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[9]  Mark H. Overmars,et al.  A probabilistic learning approach to motion planning , 1995 .

[10]  Stephen C. Graves,et al.  Using simulated annealing to select least-cost assembly sequences , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[11]  Mark John. Jakiela.  Intelligent suggestive CAD systems , 1988 .

[12]  A. Diaz-Calderon,et al.  Measuring the difficulty of assembly tasks from tool access information , 1995, Proceedings. IEEE International Symposium on Assembly and Task Planning.

[13]  Satyandra K. Gupta,et al.  Automated Manufacturability Analysis of Machined Parts , 1995 .

[14]  K. Suzanne Barber,et al.  APE: an experience-based assembly sequence planner for mechanical assemblies , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[15]  Randall H. Wilson,et al.  A framework for geometric reasoning about tools in assembly , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[16]  Dinesh Manocha,et al.  OBBTree: a hierarchical structure for rapid interference detection , 1996, SIGGRAPH.

[17]  Geoffrey Boothroyd,et al.  Product design for manufacture and assembly , 1994, Comput. Aided Des..

[18]  Pradeep K. Khosla,et al.  Determining the assembly sequence from a 3-D model☆ , 1989 .

[19]  H.S. Cho,et al.  Disassemblability analysis for generating robotic assembly sequences , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[20]  Wynne Hsu,et al.  Feedback evaluation of assembly plans , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.