Determining the distribution of sprayed paint thickness of paint layers formed according to a set spraying parameter using an electrostatic spraying device requires use of a phenomenological mathematical model of a three-dimensional spray image with input of specific parameters such as the rotational angle of the spray device electrodes together with the latter's rate of movement. In addition, actual physical input parameters such as color volumes, pilot air data and high voltage value are supplied to an artificial neuronal network, although their influence on the result of paint spraying is not precisely known. The spray images from the phenomenological model are integrated to a total paint layer in a further functional unit, independent of the movement data.
Method for determining the distribution of the layer thickness in a paint layer