A computer-aided inspection planning system for on-machine measurement — part I: Global inspection planning —
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Computer-Aided Inspection Planning (CAIP) is the integration bridge between CAD/CAM and Computer Aided Inspection (CAI). A CAIP system for On-Machine Measurement (OMM) is proposed to inspect the complicated mechanical parts efficiently during machining or after machining. The inspection planning consists of Global Inspection Planning (GIP) and Local Inspection Planning (LIP). In the GIP, the system creates the optimal inspection sequence of the features in a part by analyzing the various feature information such as the relationship of the features, Probe Approach Directions (PAD), etc. Feature groups are formed for effective planning, and special feature groups are determined for sequencing. The integrated process and inspection plan is generated based on the sequences of the feature groups and the features in a feature group. A series of heuristic rules are developed to accomplish it. In the LIP of Part II, the system generates inspection parameters. The integrated inspection planning is able to determine optimum manufacturing sequence for inspection and machining processes. Finally, the results are simulated and analyzed to verify the effectiveness of the proposed CAIP.
Key WordsComputer-Aided Inspection Planning (CAIP) Geometric Feature Feature Group On Machine Measurement (OMM)
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- Chang, T. C. and Wysk, R. A., 1985,An Introduction to Process Planning Systems, Prentice-Hall, Englewood cliffs, New Jersey, USA.Google Scholar
- Descotte, Y. and Latombe, J. C., 1984,GARI: An Expert System for Process Planning, Solid Modeling by Computers, Plenum Press, NY, pp. 329–345.Google Scholar
- Lee, H., 1991, “A Generic Learning System for Computer-Aided Process Planning, Ph. D. Dissertation,” The Pennsylvania state University, University Park, PA.Google Scholar
- Lee, K. I., Lee, H., Non, S. D., Shim, Y. B. and Cho, H. S., 1995, “A Process Planning System Using Group Technology and Rule-base,”IE Interfaces, Korean Institute of Industrial Engineers, Vol. 8, No. 3, pp. 221–230.Google Scholar
- Rogers, M., 1994, “Case Study of Feature Representation in STEP,” Part 48, Technical Report, Design Automation Laboratory, Department of Mechanical Engineering, Arizona State University, USA.Google Scholar
- Shah, J. J., Mantylä, M. and Nau, D. D., 1994,Advances in Feature-Based Manufacturing, Elsevier Science B. V., Amsterdam, Netherlands.Google Scholar