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Paint thickness simulation for painting robot trajectory planning: a review

Yan Chen (Department of Petroleum Supply Engineering, Logistical Engineering University, Chongqing, China)
Wenzhuo Chen (Department of Petroleum Supply Engineering, Logistical Engineering University, Chongqing, China)
Bo Li (Department of Petroleum Supply Engineering, Logistical Engineering University, Chongqing, China)
Gang Zhang (Department of Petroleum Supply Engineering, Logistical Engineering University, Chongqing, China)
Weiming Zhang (Department of Petroleum Supply Engineering, Logistical Engineering University, Chongqing, China)

Industrial Robot

ISSN: 0143-991X

Article publication date: 21 August 2017

948

Abstract

Purpose

The purposes of this paper are to review the progress of and conclude the trend for paint thickness simulation for painting robot trajectory planning.

Design/methodology/approach

This paper compares the explicit function-based method and computational fluid dynamics (CFD)-based method used for paint thickness simulation. Previous research is considered, and conclusions with the outlook are drawn.

Findings

The CFD-based paint deposition simulation is the trend for paint thickness simulation for painting robot trajectory planning. However, the calculation of paint thickness resulting from dynamically painting complex surface remains to be researched, which needs to build an appropriate CFD model, study approaches to dynamic painting simulation and investigate the simulation with continuously changing painting parameters.

Originality/value

This paper illustrates that the CFD-based method is the trend for the paint thickness simulation for painting robot trajectory planning. Current studies have been analyzed, and techniques of CFD modeling have also been summarized, which is vital for future study.

Keywords

Acknowledgements

This project is supported by National Natural Science Foundation of China (Grant No. 51475469).

Citation

Chen, Y., Chen, W., Li, B., Zhang, G. and Zhang, W. (2017), "Paint thickness simulation for painting robot trajectory planning: a review", Industrial Robot, Vol. 44 No. 5, pp. 629-638. https://doi.org/10.1108/IR-07-2016-0205

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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