Affiliation:
1. Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109-2117
Abstract
In this paper, a state space modeling approach is developed for the dimensional control of sheet metal assembly processes. In this study, a 3-2-1 scheme is assumed for the sheet metal assembly. Several key concepts, such as tooling locating error, part accumulative error, and re-orientation error, are defined. The inherent relationships among these error components are developed. Those relationships finally lead to a state space model which describes the variation propagation throughout the assembly process. An observation equation is also developed to represent the relationship between the observation vector (the in-line OCMM measurement information) and the state vector (the part accumulative error). Potential usage of the developed model is discussed in the paper.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering
Reference18 articles.
1. ABC, 1993, “Variation Reduction for Automotive Body Assembly,” Annual Report for Advanced Technology Program (NIST), Autobody Consortium (ABC) and University of Michigan, Ann Arbor.
2. Apley, D., and Shi, J., 1998, “Diagnosis of Multiple Fixture Faults for Panel Assembly,” Accepted by the ASME JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, in press.
3. Asada H. , and ByA., 1985, “Kinematic Analysis of Workpart Fixturing for Flexible Assembly with Automatically Reconfigurable Fixtures,” IEEE Journal of Robotics and Automation, Vol. RA-1, No. 2, pp. 86–94.
4. Ceglarek D. , and ShiJ., 1996, “Fixture Failure Diagnosis for Auto Body Assembly Using Pattern Recognition,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 118, pp. 55–65.
5. Ceglarek, D., and Shi, J., 1997, “Design Evaluation of Sheet Metal Joints for Dimensional Integrity,” ASME JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY.
Cited by
306 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献