A Computer-Aided Inspection Planning System for On-Machine Measurement - Part II : Local Inspection Planning -

  • Published : 2004.08.01

Abstract

As a part II of theis research, new local inspection planning strategy is proposed in this paper based on the proposed inspection feature extraction method. In the local inspection planning stage, each feature is decomposed into its constituent geometric elements for more effective inspection planning. The local inspection planning for the decomposed features are performed to determine: (1) the suitable number of measuring points, (2) their locations, and (3) the optimum probing paths to minimize measuring errors and times. The fuzzy set theory, the Hammersley's algorithm and the TSP method are applied for the local inspection planning. Also, a new collision checking algorithm is proposed for the probe and/or probe holder based on the Z-map concept. Finally, the results are simulated and analyzed to verify the effectiveness of the proposed methods.

Keywords

References

  1. Caskey, G., Hari, Y., Hocken, R., Palanivelu, D., Raja, J., Wilson, R., Chen, K. and Yang, J., 1990, 'Sampling Techniques for Coordinate Measuring Machine,' Design and Manufacturing Systems Conference, pp. 779-786
  2. Chang, T. C., and Wysk, R. A., 1985, An Introduction to Process Planning Systems, Prentice-Hall, Englewood cliffs, New Jersey, USA
  3. Cho, M. W. and Kim, K., 1995, 'New Inspection Planning Strategy for Sculptured Surfaces Using Coordinate Measuring Machine,' International Journal of Production Research, Vol. 33, No. 2, pp. 427-444 https://doi.org/10.1080/00207549508930158
  4. Cho, M. W. and Seo, T. I., 2002, 'Inspection Planning Strategy for the On-Machine Measurement Process Based on CAD/CAM/CAI Integration Concept,' The International Journal of Advanced Manufacturing Technology, Vol. 19, pp. 607-617 https://doi.org/10.1007/s001700200066
  5. Cho, M. W., Seo, T. I, Kim, J. D. and Kwon, O. Y., 2000, 'Reverse Engineering of Compound Surfaces Using Boundary Detection Method,' KSME International Journal, Vol. 14, No. 10, pp. 1104-1113 https://doi.org/10.1007/BF03185064
  6. Descotte, Y. and Latombe, J. C., 1984, GARI : An Expert System for Process Planning, Solid Modeling by Computers, pp. 329-345, Plenum Press, NY
  7. Lee, G., Mou, J. and Shen, Y., 1997, 'Sampling strategy design for Dimensional Measurement of Geometric Features Using Coordinate Measuring Machine,' International Journal of Machine Tools and Manufacturing, Vol. 37, No. 7, pp. 917-934 https://doi.org/10.1016/S0890-6955(96)00096-X
  8. Lee, J. W., Kim, M. K. and Kim, K., 1994, 'Optimal Probe Path Generation and New Guide Point Selection Methods,' Engineering Application of Artificial Intelligence, Vol. 7, No. 4, pp. 439-445 https://doi.org/10.1016/0952-1976(94)90009-4
  9. Lee, K. I., Lee, H., Noh, 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
  10. Menq, C. H., Yau, H. T., Lai, G. Y. and Miller, R. A., 1990, 'Statistical Evaluation of Form Tolerances Using Discrete Measurement Data,' ASME Winter Annual Meeting, ASME, PED-Vol. 47, pp. 135-149
  11. Press, W. H., Teukolsky, S. A., Vetterling, W. T. and Flannery, B. P., 1992, Numerical Recipes in C, Cambridge University Press
  12. 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
  13. Shah, J. J., Mantyla, M., and Nau, D. D., 1994, Advances in Feature-Based Manufacturing, Elsevier Science B. V, Amsterdam, Netherlands
  14. Woo, T. C. and Liang, R., 1993, 'Dimensional measurement of surfaces and their sampling,' Computer-Aided Design, Vol. 25, No. 4, pp. 233-239 https://doi.org/10.1016/0010-4485(93)90054-R