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An Accurate and Efficient Method of the Spray Paint Simulation for Robot OLP  

Lee, Seung-Chan (아주대학교 기계공학과 대학원)
Song, In-Ho (아주대학교 기계공학부)
Borm, Jin-Hwan (아주대학교 기계공학부)
Publication Information
Korean Journal of Computational Design and Engineering / v.13, no.4, 2008 , pp. 296-304 More about this Journal
Abstract
Recently, various attempts are being done to apply off-line programming system to field of paint robot. But most commercial simulation softwares have problems that are slow simulation speed and not support various painting paramenters on simulation. This paper proposes enhanced paint simulation method for off-line programming system. For these, this method used the mathematical model of flux field from a previous research. The flux field has the flux distribution function, which reflects on the feature of paint spray. A previous research derived this flux distribution function for an integral function and calculated paint thickness function for an integral function. But if flux distribution function is defined as an integral function, it is inadequate to use for real-time simulation because a number of calculation is needed for estimation of paint thickness distribution. Therefore, we defined the flux distribution function by numerical method for reducing a mount of calculation for estimation of paint thickness. We derived the equation of paint thickness function analytically for reducing a mount of calculation from the paint distribution function defined by numerical method. In order to prove proposed paint simulation method this paper compares the simulated and measured thickness. From this comparison this paper show that paint thickness distribution is predicted precisely by proposed spray paint simulation process.
Keywords
Off-Line Programming; Paint Simulation; Spray Paint;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Steven C., Applied Numerical Methods with MATLAB for Engineers and Scientists, McGraw Hill, 2005
2 Conner, D. C., Atkar, P. N., Rizzi, A. and Choset, H., "Paint Deposition Modeling for Trajectory Planning on Automotive Surfaces", IEEE Transaction on Automation Science and Engineering, Vol. 2, No. 4, pp. 381-392, 2005   DOI   ScienceOn
3 Hertling, P., Hog, L., Larsen, R., Perram, J. P. and Petersen, H. G., "Task Curve Planning for Painting Robots - Part I: Process Modeling and Calibration", IEEE Transaction on Robotics and Automation, Vol. 12, No. 2, pp. 324-330, 1996   DOI   ScienceOn
4 Suh, S. H., Woo, I. K. and Noh, S. K., "Development of an Automatic Trajectory Planning System (ATPS) for Spray Painting Robots", Proc. IEEE Int. Conf. Robotics and Automation, Vol. 3, No. 9-11, pp. 1948-1955, 1991
5 Dassault Systemes, Delmia IGRIP Online Documentation Paint Application for IGRIP and ENVISION, Chapter 5.1 Paint Tutorial
6 Persoons, W. and Van Brussel, H., "CAD-based Robotic Coating of Highly Curved Surfaces", Proc. ISIR., Vol. 24, pp. 611-618, 1993
7 Kim, G. Y., Noh, S. D., Lee, I. S. and Song, M. H., "PPR Information Managements for Manufacturing of Automotive Press Dies", Transactions of the Society of CAD/CAM Engineers, Vol. 12, No. 6, pp. 452-460, 2007   과학기술학회마을
8 Noh, S. D. and Park, Y. J., "Material Planning Information Management for Automotive General Assembly using Digital Factory", Transactions of the Society of CAD/CAM Engineers, Vol. 9, No. 4, pp. 325-333, 2004
9 John, J. C., Introduction to Robotics Mechanics and Control 3nd Edition, Prentice Hall, 2005
10 Arikan, M. A. and Balkan, T., "Process Modeling, Simulation and Paint Thickness Measurement for Robotic Spray Painting", Journal of Robotic Systems, Vol. 17, No. 9, pp. 479-494, 2000   DOI   ScienceOn
11 Ying, B., Zhuang, H. and Roth, Z. S., "Experiment Study of PUMA Robot Calibration Using a Laser Tracking System", IEEE International Workshop on Soft Computing in Industrial Applications, pp. 139-144, 2003
12 Chen, H., Sheng, W., Xi, N., Song, M. and Chen, Y., "Automated Robot Trajectory Planning for Spray Painting of Free-form Surfaces in Automotive Manufacturing", In Proc. IEEE Int. Conf. Robotics and Automation, Vol. 1, pp. 450-455, 2002