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Optimisation of robotised sealing stations in paint shops by process simulation and automatic path planning

Published Online:pp 4-26https://doi.org/10.1504/IJMR.2014.059597

Application of sealing materials is done in order to prevent water leakage into cavities of the car body, and to reduce noise. The complexity of the sealing spray process is characterised by multi-phase and free surface flows, multi-scale phenomena, and large moving geometries, which poses great challenges for mathematical modelling and simulation. The aim of this paper is to present a novel framework that includes detailed process simulation and automatic generation of collision free robot paths. To verify the simulations, the resulting width, thickness and shape of applied material on test plates as a function of time and spraying distance have been compared to experiments. The agreement is in general very good. The efficient implementation makes it possible to simulate application of one meter of sealing material in less than an hour on a standard computer, and it is therefore feasible to include such detailed simulations in the production preparation process and off-line programming of the sealing robots.

Keywords

off-line programming, OLP, sealing spray, volume of fluids, VOF, immersed boundary methods, automatic path planning, optimisation, process simulation, computational fluid dynamics, CFD

References

  • 1. Balasubramanian, K.R. , Suthakar, T. , Sankaranarayanasamy, K. (2012). ‘Finite element analysis of heat distribution in laser beam welding of AISI 304 stainless steel sheet’. Int. J. Manufacturing Research. 7, 1, 42-58 AbstractGoogle Scholar
  • 2. Bohlin, R. , Kavraki, L.E. (2000). ‘Path planning using lazy PRM’. Proc. IEEE Int. Conf. on Robotics and Automation. Google Scholar
  • 3. Canny, J.F. (1988). The Complexity of Robot Motion Planning. MIT Press, ISBN: 0-262-03136-1 Google Scholar
  • 4. Chiddarwar, S.S. , Babu, N.R. (2012). ‘Optimal trajectory planning for industrial robot along a specified path with payload constraint using trigonometric splines’. International Journal of Automation and Control. 6, 1, 39-65 AbstractGoogle Scholar
  • 5. Chou, W. , You, C.L. , Wang, T. (2007). ‘Automatic path planning for welding robot based on reconstructed surface model, robotic welding, intelligence and automation’. Lecture Notes in Control and Information Sciences. 362, 153-161 Google Scholar
  • 6. Domnick, J. , Schneider, M. (2003). ‘Computer simulation des Nahtabdichtprozesses im Automobilbau mit Hilfe der VOF-Methode von FLUENT’. Fluent CFD Konferenz, Darmstadt, Germany Google Scholar
  • 7. Doormaal, J.V. , Raithby, G. (1984). ‘Enhancements of the SIMPLE method for predicting incompressible fluid flows’. Numer. Heat Transfer. 7, 2, 147-163 Google Scholar
  • 8. LaValle, S.M. , Kuffner, J.J. (1999). ‘Randomized Kinodynamic planning’. Proc. IEEE Int. Conf. on Robotics and Automation. Google Scholar
  • 9. Majumdar, S. , Iaccarino, G. , Durbin, P. (2001). RANS Solvers with Adaptive Structured Boundary Non-Conforming Grids. Technical report, Center for Turbulence Research, Annual Research Briefs Google Scholar
  • 10. Mark, A. , van Wachem, B.G.M. (2008). ‘Derivation and validation of a novel implicit second-order accurate immersed boundary method’. J. Comput. Phys.. 227, 13, 6660-6680 Google Scholar
  • 11. Mark, A. , Andersson, B. , Tafuri, S. , Engström, K. , Söröd, H. , Edelvik, F. , Carlson, J.S. (2013). ‘Simulation of electrostatic rotary bell spray painting in automotive paint shops’. Automization & Sprays. 23, 1, 25-45 Google Scholar
  • 12. Mark, A. , Rundqvist, R. , Edelvik, F. (2011). ‘Comparison between different immersed boundary conditions for simulation of complex fluid flows’. Fluid Dynam. Mater. Process.. 7, 3, 241-258 Google Scholar
  • 13. O’Gloinn, T. , Hayes, C. , Hanniffy, P. , Vaugh, K. (2007). ‘FEA simulation of conformal cooling within injection moulds’. Int. J. Manufacturing Research. 2, 2, 162-170 Google Scholar
  • 14. Peskin, C.S. (1977). ‘Numerical analysis of blood flow in the heart’. J. Comp. Phys.. 25, 3, 220-252 Google Scholar
  • 15. Rhie, C. , Chow, W. (1983). ‘Numerical study of the turbulent flow past an airfoil with trailing edge separation’. AIAA Journal. 21, 11, 1525-1532 Google Scholar
  • 16. Rundqvist, R. , Mark, A. , Edelvik, F. , Carlson, J.S. (2011). ‘Modeling and simulation of viscoelastic fluids using smoothed particle hydrodynamics’. Fluid Dynam. Mater. Process.. 7, 3, 259-278 Google Scholar
  • 17. To, W.K. , Paul, G. , Kwok, N.M. , Liu, D. (2009). ‘An efficient trajectory planning approach for autonomous robots in complex bridge environments’. Int. J. of Computer Aided Engineering and Technology. 1, 2, 185-208 AbstractGoogle Scholar
  • 18. Ubbink, O. (1997). Numerical Prediction of Two Fluid Systems with Sharp Interfaces. London, UK:Department of Mechanical Engineering, Imperial College of Science , PhD thesis Google Scholar