Abstract
The lack of general robotics purposed, accurate open source simulators is a major setback that limits the optimized trajectory generation research and general evolution of the robotics field. Spray painting is a particular case that has multiple advantages in using a simulator for exploring new algorithms, mainly the waste of materials and the dangers associated with a robotic manipulator. This paper demonstrates an implementation of spray painting on a previously existing simulator, SimTwo. Several metrics for optimization that evaluate the painted result are also proposed. In order to validate the implementation, we conducted a real world experiment that serves both as proof that the chosen spray distribution model translates to reality and as a way to calibrate the model parameters.
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References
Automatic scanning and programming of robots. www.inropa.com/fileadmin/Arkiv/Dokumenter/Produktblade/OLP_automatic.pdf
Delfoi PAINT - Software for painting and coating. https://www.delfoi.com/delfoi-robotics/delfoi-paint/
Examples - RoboDK. https://robodk.com/examples#examples-painting
Getting Started - RoboDK Documentation. https://robodk.com/doc/en/Getting-Started.html#Station
OpenGL. https://www.opengl.org/
Robcad Robotics and automation workcell simulation, validation and off-line programming. www.siemens.com/tecnomatix
Robust ROBOGUIDE Simulation Software. FANUC America. https://www.fanucamerica.com/products/robots/robot-simulation-software-FANUC-ROBOGUIDE
Andulkar, M.V., Chiddarwar, S.S.: Incremental approach for trajectory generation of spray painting robot. Ind. Robot. (2015). https://doi.org/10.1108/IR-10-2014-0405
Antonio, J.K.: Optimal trajectory planning for spray coating. In: Proceedings of the IEEE International Conference on Robotics and Automation (1994). https://doi.org/10.1109/robot.1994.351125
Chen, Y., Chen, W., Li, B., Zhang, G., Zhang, W.: Paint thickness simulation for painting robot trajectory planning: a review (2017). https://doi.org/10.1108/IR-07-2016-0205
Cignoni, P., Callieri, M., Corsini, M., Dellepiane, M., Ganovelli, F., Ranzuglia, G.: MeshLab: an open-source mesh processing tool. In: Scarano, V., Chiara, R.D., Erra, U. (eds.) Eurographics Italian Chapter Conference. The Eurographics Association (2008). https://doi.org/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2008/129-136
Conner, D.C., Greenfield, A., Atkar, P.N., Rizzi, A.A., Choset, H.: Paint deposition modeling for trajectory planning on automotive surfaces. IEEE Trans. Autom. Sci. Eng. (2005). https://doi.org/10.1109/TASE.2005.851631
Fleming, D.: Airless spray-practical technique for maintenance painting. Plant Eng. (Barrington, Illinois) 31(20), 83–86 (1977)
Fogliati, M., Fontana, D., Garbero, M., Vanni, M., Baldi, G., Dondè, R.: CFD simulation of paint deposition in an air spray process. J. Coat. Technol. Res. 3(2), 117–125 (2006)
Hicks, P.G., Senser, D.W.: Simulation of paint transfer in an air spray process. J. Fluids Eng. Trans. ASME 117(4), 713–719 (1995). https://doi.org/10.1115/1.2817327
Persoons, W., Van Brussel, H.: CAD-based robotic coating of highly curved surfaces. In: 24th International Symposium on Industrial Robots, Tokyo, pp. 611–618 (November 1993). https://doi.org/10.1109/robot.1994.351125
Rupp, J., Guffey, E., Jacobsen, G.: Electrostatic spray processes. Met. Finish. 108(11–12), 150–163 (2010). https://doi.org/10.1016/S0026-0576(10)80225-9
Whitehouse, N.R.: Paint application. In: Shreir’s Corrosion, pp. 2637–2642. Elsevier (January 2010). https://doi.org/10.1016/B978-044452787-5.00142-6
Ye, Q.: Using dynamic mesh models to simulate electrostatic spray-painting. In: High Performance Computing in Science and Engineering 2005 - Transactions of the High Performance Computing Center Stuttgart, HLRS 2005 (2006). https://doi.org/10.1007/3-540-29064-8-13
Ye, Q., Domnick, J., Khalifa, E.: Simulation of the spray coating process using a pneumatic atomizer. Institute for Liquid Atomization and Spray Systems (2002)
Ye, Q., Pulli, K.: Numerical and experimental investigation on the spray coating process using a pneumatic atomizer: influences of operating conditions and target geometries. Coatings (2017). https://doi.org/10.3390/coatings7010013
Zhang, Y., Huang, Y., Gao, F., Wang, W.: New model for air spray gun of robotic spray-painting. Jixie Gongcheng Xuebao/Chin. J. Mech. Eng. (2006). https://doi.org/10.3901/JME.2006.11.226
Zhou, B., Zhang, X., Meng, Z., Dai, X.: Off-line programming system of industrial robot for spraying manufacturing optimization. In: Proceedings of the 33rd Chinese Control Conference, CCC 2014 (2014). https://doi.org/10.1109/ChiCC.2014.6896426
Acknowledgements
This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project UIDB/50014/2020.
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Casanova, J., Lima, J., Costa, P. (2021). A Simulation Tool for Optimizing a 3D Spray Painting System. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2021. Communications in Computer and Information Science, vol 1488. Springer, Cham. https://doi.org/10.1007/978-3-030-91885-9_9
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