| 摘要 |
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.
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