FIXING METHOD OF SPRAY PARAMETER ON MATERIAL SPRAY UNIT

    公开(公告)号:JP2001070846A

    公开(公告)日:2001-03-21

    申请号:JP2000219097

    申请日:2000-07-19

    Abstract: PROBLEM TO BE SOLVED: To cope with the precise distribution of coating material thickness by fixing a spray parameter to be set from a desired spray pattern to be attained by utilizing an artificial neural net work learning by using practically measured data. SOLUTION: A coating film is formed by the movement of a spray device in the horizontal or vertical direction and the distribution of the coating film thickness is measured. The profile curve of the distribution of the coating film thickness is shown is the form of 200 individually measured values and a variable to be inputted to the artificial neural net work is expressed by using the measured value. As the input parameter to the artificial neural net work, amplitude is used together with the Fourier analysis of the profile of the coating material thickness distribution, and the spray parameter is fixed from the desired spray pattern to be attained as the output parameter such as the quantity of a coating material, the directing-air quantity and high voltage.

    METHOD FOR DETERMINING DISTRIBUTION OF LAYER THICKNESS OF COATING LAYER

    公开(公告)号:JP2001062358A

    公开(公告)日:2001-03-13

    申请号:JP2000229258

    申请日:2000-07-28

    Abstract: PROBLEM TO BE SOLVED: To determine the thickness distribution of the coating layer formed by an electrostatic coating material spraying apparatus. SOLUTION: A phenomenological and mathematical model of a semi-static three-dimensional spraying pattern is set and used, and specified parameters as fixed input parameters are directly inputted in the phenomenological model. Practical physical input parameters whose effects on the spraying results are not known precisely are supplied to an artificial neural network in which simulation is previously carried out using practical input data. The artificial neural network carries out conversion of the added input parameters into model input parameters to be supplied to the phenomenological model and the spraying patterns formed by the phenomenological model are accumulated in a further functional unit as functions of the movement data of a spraying apparatus 2 included in the input parameters for forming the entire coating layer and the output of the thickness distribution of the coating layer is obtained.

    3.
    发明专利
    未知

    公开(公告)号:DE19936148A1

    公开(公告)日:2001-02-01

    申请号:DE19936148

    申请日:1999-07-31

    Abstract: Electrostatically sprayed paint parameters suitable as input values for a paint spraying device are determined via at least one artificial neuronal network where each parameter is available as out output of the network. Initially, a learning phase involves inputting a number of realistic measured values into the network or into several networks to provide a paint thickness distribution and the associated realistic spray parameters. User phase input values are applied to the network or networks and result from an analysis of the paint thickness distribution of a specified spray result.

    5.
    发明专利
    未知

    公开(公告)号:DE19936146A1

    公开(公告)日:2001-02-01

    申请号:DE19936146

    申请日:1999-07-31

    Abstract: 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.

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