Multivariable coating thickness distribution model for robotic spray painting

WANG Guolei; YI Qiang; MIAO Dongjing; CHEN Ken; WANG Liqiang

doi:10.16511/j.cnki.qhdxxb.2017.26.017

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Journal of Tsinghua University(Science and Technology) ›› 2017, Vol. 57 ›› Issue (3) : 324-330. DOI: 10.16511/j.cnki.qhdxxb.2017.26.017

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Multivariable coating thickness distribution model for robotic spray painting

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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%.

Key words

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

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WANG Guolei, YI Qiang, MIAO Dongjing, CHEN Ken, WANG Liqiang. Multivariable coating thickness distribution model for robotic spray painting[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(3): 324-330 https://doi.org/10.16511/j.cnki.qhdxxb.2017.26.017

References

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