Advertisement

Paint thickness simulation for robotic painting of curved surfaces based on Euler–Euler approach

  • Wenzhuo Chen
  • Yan ChenEmail author
  • Weiming Zhang
  • Shaowei He
  • Bo Li
  • Junze Jiang
Technical Paper
  • 30 Downloads

Abstract

The purpose of this paper is to provide a method of the paint thickness simulation for robotic painting of curved surfaces based on the Euler–Euler approach in CFD theory. The Euler–Euler approach is proposed to be adopted to simulate the paint deposition process of painting curved surfaces with a moving spray gun in this paper. The paint deposition model established comprises two parts: a two-phase spray flow field model and a film model. The method of solving the model is also provided. In order to demonstrate the capability of the proposed method, three cases were simulated and experimented including painting a flat plate, an outer cylindrical surface and an inner cylindrical surface. It was found that the peak of the film thickness distribution on the inner cylindrical surface is the largest followed by that on the flat plate and that on the outer cylindrical surface. The film width of painting the inner cylindrical surface is wider than that of the outer cylindrical surface and the flat plate. The experimental results were in a reasonable agreement with the simulation results, which indicates the simulation method based on the Euler–Euler approach in CFD theory proposed in this paper to be effective and applicable in simulating the paint thickness for robotic painting of curved surfaces.

Keywords

Robotic painting Paint deposition model Paint thickness Simulation CFD 

Notes

Acknowledgements

This project is supported by National Natural Science Foundation of China (Grant Nos. 51475469 and 51505494).

References

  1. 1.
    Heping C, Ning X (2008) Automated tool trajectory planning of industrial robots for painting composite surfaces. Int J Adv Manuf Technol 35(7–8):45–50.  https://doi.org/10.1007/s00170-006-0746-5 CrossRefGoogle Scholar
  2. 2.
    Qiaoyan Y, Bo S, Oliver T, Joachim D (2013) Investigations of spray painting processes using an airless spray gun. J Enerhy Power Eng 1:74–81Google Scholar
  3. 3.
    Wenzhuo C, Yan C, Bo L, Weiming Z, Ken C (2016) Design of redundant robot painting system for long non-regular duct. Ind Robot Int J 43(1):58–64.  https://doi.org/10.1108/IR-06-2015-0113 CrossRefGoogle Scholar
  4. 4.
    Neal AS, Jonathan AB, Ron KF (2009) Precision robotic coating application and thickness control optimization for f-35 final finishes. SAE Int J Aerosp 2(1):284–290.  https://doi.org/10.4271/2009-01-3280 CrossRefGoogle Scholar
  5. 5.
    Wei X, Sheng-Rui Y, Xiao-Ping X (2010) Paint deposition pattern modeling and estimation for robotic air spray painting on free-form surface using the curvature circle method. Ind Robot Int J 37(2):202–213.  https://doi.org/10.1108/01439911011018984 CrossRefGoogle Scholar
  6. 6.
    Yan C, Wenzhuo C, Ken C et al (2016) Motion planning of redundant manipulators for painting uniform thick coating in irregular duct. J Robot 2016:1–12.  https://doi.org/10.1155/2016/4153757 CrossRefGoogle Scholar
  7. 7.
    Bo Z, Xi Z, Zhengda M, and Xiazhong D (2014) Off-line programming system of industrial robot for spraying manufacturing optimization. In: 33rd Chinese control conference (CCC), Nanjing, China, 28–30 July. IEEE, New York, pp 8495–8500 http://dx.doi.org/10.1109/ChiCC.2014.6896426
  8. 8.
    Dongjing M, Guolei W, Liao W et al (2013) Trajectory planning for freeform surface uniform spraying. J Tsinghua Univ (Sci Technol) 53(10):1418–1423Google Scholar
  9. 9.
    Yan C, Wenzhuo C, Bo L et al (2017) Paint thickness simulation for painting robot trajectory planning: a review. Ind Robot Int J 44(5):629–638.  https://doi.org/10.1108/IR-07-2016-0205 CrossRefGoogle Scholar
  10. 10.
    Hicks PG, Senser DW (1995) Simulation of paint transfer in an air spray process. J Fluids Eng 117(4):713–719.  https://doi.org/10.1115/1.2817327 CrossRefGoogle Scholar
  11. 11.
    Fogliati M, Fontana D, Garbero M et al (2006) CFD simulation of paint deposition in an air spray process. J Coat Technol Res 3(2):117–125.  https://doi.org/10.1007/s11998-006-0014-5 CrossRefGoogle Scholar
  12. 12.
    Qiaoyan Y, Bo S, Oliver T et al (2015) Numerical and experimental study of spray coating using air-assisted high pressure atomizers. At Sprays 25(8):643–656.  https://doi.org/10.1615/AtomizSpr.2015010791 CrossRefGoogle Scholar
  13. 13.
    Qiaoyan Y, Karlheinz P (2017) Numerical and experimental investigation on the spray coating process using a pneumatic atomizer: influences of operating conditions and target geometries. Coatings 7(13):1–13.  https://doi.org/10.1615/10.3390/coatings7010013 CrossRefGoogle Scholar
  14. 14.
    Toljic N, Adamiak K, Castle GSP et al (2013) A full 3D numerical model of the industrial electrostatic coating process for moving targets. J Electrostat 71(3):299–304.  https://doi.org/10.1016/j.elstat.2012.12.032 CrossRefGoogle Scholar
  15. 15.
    Husam O, Kazimierz A, Castle GSP, et al (2015) Comparison between the numerical and experimental deposition patterns for an electrostatic rotary bell sprayer. In: 2015 International mechanical engineering congress & exposition, Houston, USA, 13–19 Nov 2015, pp 1–8.  https://doi.org/10.1115/IMECE2015-50211
  16. 16.
    Yan C, Wenzhuo C, Shaowei H, Haiwei P et al (2017) Spray flow characteristics of painting cylindrical surface with a pneumatic atomizer. China Surf Eng 30(6):122–131.  https://doi.org/10.11933/j.issn.1007-9289.20170523001 CrossRefGoogle Scholar
  17. 17.
    Sazhin S (2014) Droplets and sprays. Springer, London.  https://doi.org/10.1007/978-1-4471-6386-2 CrossRefGoogle Scholar
  18. 18.
    Launder BE, Spalding DB (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 103(2):269–289.  https://doi.org/10.1016/0045-7825(74)90029-2 CrossRefzbMATHGoogle Scholar
  19. 19.
    O’Rourke P, Amsden A (1996) A particle numerical model for wall film dynamics in port-injected engines. SAE technical paper 961961.  https://doi.org/10.4271/961961
  20. 20.
    Ferziger JH, Perić M (1996) Computational methods for fluid dynamics. Springer, Berlin.  https://doi.org/10.1007/978-3-642-97651-3 CrossRefzbMATHGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Wenzhuo Chen
    • 1
  • Yan Chen
    • 1
    Email author
  • Weiming Zhang
    • 1
  • Shaowei He
    • 1
  • Bo Li
    • 1
  • Junze Jiang
    • 1
  1. 1.Department of PetroleumArmy Logistics UniversityChongqingChina

Personalised recommendations