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Mathematical Problems in Engineering
Volume 2016, Article ID 9369047, 7 pages
http://dx.doi.org/10.1155/2016/9369047
Research Article

Prediction Model of Coating Growth Rate for Varied Dip-Angle Spraying Based on Gaussian Sum Model

1School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng, Jiangsu 224051, China
2College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu 730050, China

Received 27 September 2016; Accepted 15 November 2016

Academic Editor: Alessandro Gasparetto

Copyright © 2016 Yong Zeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In automatic spraying of spray painting robot, in order to solve the problems of coating growth rate modeling for varied dip-angle spraying technology, a prediction mode of coating growth rate using the Gaussian sum model is proposed. Based on the Gaussian sum model, a theoretical model for coating growth rate with varied dip-angle spraying is established by using the theory of differential geometry. The coating thickness of the sample points in the distribution range of the coating was obtained by making the experiment of varied dip-angle spraying. Based on the theoretical model, the nonlinear least square method is used to fit the coating thickness of the sample points and the parameter values of the theoretical model are calculated. By analyzing the variation law of the parameters with the spray dip-angle, the prediction model of coating growth rate for varied dip-angle spraying is established. Experiments have shown that the prediction model has good fitting precision; it can satisfy the real-time requirement with varied dip-angle spraying trajectory planning in the offline programming system.