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Open AccessArticle

Trajectory Optimization of Electrostatic Spray Painting Robots on Curved Surface

by 1,2,*, 1, 3 and 1
School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
School of Automation, Southeast University, Nanjing 210096, China
School of Science, Jiangsu University, Zhenjiang 212013, China
Author to whom correspondence should be addressed.
Coatings 2017, 7(10), 155;
Received: 16 August 2017 / Revised: 21 September 2017 / Accepted: 22 September 2017 / Published: 25 September 2017
(This article belongs to the Special Issue Innovative Coatings for Automotive Industry)
In this paper, a new practical electrostatic rotating bell (ESRB) cumulative rate model of painting is derived, and an experimental study on painting is carried out. First, the experimental method is used to obtain the radial thickness profile function of the spatial paint distribution of static spray. Then, a spatial trajectory-planning scheme for a spray-painting robot based on a rectangular model is presented. This method designs the spatial path of the spray-painting robot by using the cuboid model method after the optimal value is taken as the width d of the overlapping area of the two spray-painting strokes in the plane. The experimental results illustrate that the paint thickness basically meets the requirements, and the experimental results verify the effectiveness of the trajectory optimization method. View Full-Text
Keywords: trajectory planning; rectangular model; thickness trajectory planning; rectangular model; thickness
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MDPI and ACS Style

Chen, W.; Liu, H.; Tang, Y.; Liu, J. Trajectory Optimization of Electrostatic Spray Painting Robots on Curved Surface. Coatings 2017, 7, 155.

AMA Style

Chen W, Liu H, Tang Y, Liu J. Trajectory Optimization of Electrostatic Spray Painting Robots on Curved Surface. Coatings. 2017; 7(10):155.

Chicago/Turabian Style

Chen, Wei; Liu, Hao; Tang, Yang; Liu, Junjie. 2017. "Trajectory Optimization of Electrostatic Spray Painting Robots on Curved Surface" Coatings 7, no. 10: 155.

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