Multivariable coating thickness distribution model for robotic spray painting

doi:10.16511/j.cnki.qhdxxb.2017.26.017

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Abstract A multivariable robotic spray painting model was developed for a range of painting parameters to improve the restricted traditional model. A β distribution based coating growth rate function was used with a coating thickness distribution formula then deduced from the integral of the growth rate function. The maximum coating growth rate was related to the paint flow rate and painting distance with the paint flow rate related to the painting air pressure and painting width from experimental data. Then, a generalized coating thickness distribution model was developed with five painting parameters as independent variables by substituting these relations into the coating thickness distribution equations. The model was validated through experiments with the results showing that it can predict the coating thickness distribution for various painting parameters with an average forecasting error of less than 4.3%.

Keywords industrial robot robotic spray painting coating growth rate coating thickness distribution variable painting parameter multivariable model

ZTFLH:

TP242.2

Issue Date: 15 March 2017

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	WANG Guolei
	YI Qiang
	MIAO Dongjing
	CHEN Ken
	WANG Liqiang

Cite this article:

WANG Guolei,YI Qiang,MIAO Dongjing, et al. Multivariable coating thickness distribution model for robotic spray painting[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(3): 324-330.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.26.017 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I3/324

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