Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Compensation of Installation Errors in a Laser Vision System and Dimensional Inspection of Automobile Chassis

  • Barkovski Igor Dunin (School of Mechanical Engineering, Kyungpook National University) ;
  • Samuel G.L. (School of Mechanical Engineering, Kyungpook National University) ;
  • Yang Seung-Han (School of Mechanical Engineering, Kyungpook National University)
  • Published : 2006.04.01
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Abstract

Laser vision inspection systems are becoming popular for automated inspection of manufactured components. The performance of such systems can be enhanced by improving accuracy of the hardware and robustness of the software used in the system. This paper presents a new approach for enhancing the capability of a laser vision system by applying hardware compensation and using efficient analysis software. A 3D geometrical model is developed to study and compensate for possible distortions in installation of gantry robot on which the vision system is mounted. Appropriate compensation is applied to the inspection data obtained from the laser vision system based on the parameters in 3D model. The present laser vision system is used for dimensional inspection of car chassis sub frame and lower arm assembly module. An algorithm based on simplex search techniques is used for analyzing the compensated inspection data. The details of 3D model, parameters used for compensation and the measurement data obtained from the system are presented in this paper. The details of search algorithm used for analyzing the measurement data and the results obtained are also presented in the paper. It is observed from the results that, by applying compensation and using appropriate algorithms for analyzing, the error in evaluation of the inspection data can be significantly minimized, thus reducing the risk of rejecting good parts.

Keywords

References

  1. Beyer, H. A., 1995, 'Automated Dimensional Inspection with Real-Time Photogrammetry,' ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 50, No. 3, pp. 20-26 https://doi.org/10.1016/0924-2716(95)91287-T
  2. Brunk, W., 1982, 'Geometric Control by Industrial Robots,' Proc. 2nd Int. Conf on Robot Vision and Sensory Controls, Stuttgart, pp. 223-231
  3. Gilbert, R. K., 2002, 'Laser Measurement Takes Hold,' Quality Magazine, pp. 18-22
  4. Harris, J. O. and Spence, A. D., 2004, 'Geometric and Quasi-Static Thermal Error Compensation for a Laser Digitizer Equipped Coordinate Measuring Machine,' International Journal of Machine Tools & Manufacture, Vol. 44, pp. 65-77 https://doi.org/10.1016/j.ijmachtools.2003.08.002
  5. Kosmopoulos, D. and Varvarigou, T., 2001, 'Automated Inspection of Gaps on the Automobile Production Line Through Stereo Vision and Specular Reflection,' Computers in Industry, Vol. 46, pp. 49-63 https://doi.org/10.1016/S0166-3615(01)00113-0
  6. Lee, D. M., Lee, K. I. and Yang, S. H., 2004, 'Development of the Machine Vision System for Inspection the Front-Chassis Module of an Automobile,' Transactions of the KSMTE, Vol. 13, No. 3, pp. 84-90
  7. Lee, D. M., Yang, S. H. and Lee, Y. M., 2004, 'Development of Machine Vision System and Dimensional Analysis of the Automobile Front-Chassis-Module,' KSME international Journal, Vol. 18, No. 12, pp. 2209-2215
  8. Lenz, R. K. and Tsai, R. Y., 1989, 'Calibrating a Cartesian Robot with Eye-On-Hand Configuration Independent of Eye-To-Hand Relationship,' Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 11, No. 9, pp. 916-928 https://doi.org/10.1109/34.35495
  9. Li, Y. and Gu, P., 2004, 'Free-Form Surface Inspection Techniques State of the Art Review,' Computer Aided Design, Vol. 36, pp. 1395-1417 https://doi.org/10.1016/j.cad.2004.02.009
  10. Luersen, M. A. and Riche, R. L., 2004, 'Globalized Nelder-Mead Method for Engineering Optimization,' Computers and Structures, Vol. 82, pp. 2251-2260 https://doi.org/10.1016/j.compstruc.2004.03.072
  11. Malamas, E. N., Petrakis, E. G. M., Zervakis, M., Petit, L. and Legat, J. D., 2003, 'A Survey on Industrial Vision Systems, Applications and Tools,' Image and Vision Computing, Vol. 21, No. 2, pp. 171-188 https://doi.org/10.1016/S0262-8856(02)00152-X
  12. Meng, Z., Che, R. S., Huang, Q. C. and Yu, Z. J., 2002, 'The Direct-error-compensation Method of Measuring the Error of a Six-freedom-degree Parallel Mechanism CMM,' Journal of Materials Processing Technology, Vol. 129, pp. 574-578 https://doi.org/10.1016/S0924-0136(02)00643-X
  13. Park, K., Cho, K. R., Shin, H. H. and Kim, M. S., 1992, 'Car-body Inspection System Using Industrial Robots,' Intelligent Robots and Systems, Proceedings of the 1992 IEEE / RSJ International Conference, Vol. 3, pp. 2080-2084 https://doi.org/10.1109/IROS.1992.601946
  14. Park, U. S., Choi, J. W., Yoo, W. S., Lee, M. H., Son, K., Lee, J. M., Lee, M. C. and Han, S. H., 2003, 'Optimal Placement of Sensors and Actuators Using Measures of Modal Controllability and Observability in a Balanced Coordinate,' KSME International Journal, Vol. 17, No. 1, pp. 11-22
  15. Prieto, F., Redarce, T., Lepage, R. and Boulanger, P., 2002, 'An Automated Inspection System,' International Journal of Advanced Manufacturing Technology, Vol. 19, No. 12, pp. 917-925 https://doi.org/10.1007/s001700200104
  16. Ramesh, R., Mannan, M. A. and Poo, A. N., 2000, 'Error Compensation in Machine Tools-A Review Part I: Geometric, Cutting-Force Induced and Fixture Dependent errors,' International Journal of Machine Tools and Manufacture, Vol. 40, pp. 1235-1256 https://doi.org/10.1016/S0890-6955(00)00009-2
  17. Shen, T. S., Huang, J. and Meng, C. H., 1999, 'Multiple-Sensor Integration for Rapid and High-Precision Coordinate Metrology,' Proceedings of the 1999 IEEE/ASME Int. Conference on Advanced Intelligent Mechatronics, Atlanta, USA, pp. 908-915 https://doi.org/10.1109/AIM.1999.803293
  18. Yoon, G. S., Heo, Y. M., Kim, G. H. and Cho, M. W., 2005, 'Development of 3D-based On-Machine Measurement Operating System,' International Journal of Precision Engineering and Manufacturing, Vol. 6, No. 3, pp. 45-50