METHOD OF DETERMINING THE FORMULATING RATIO OF A METALLIC OR PEARLESCENT PIGMENT TO A COLORANT OR THE FORMULATING AMOUNT OF A METALLIC OR PEARLESCENT PIGMENT IN THE COMPUTER-AIDED COLOR MATCHING OF A METALLIC OR PEARLESCENT PAINT
First Claim
1. A method for determining a formulating ratio of at least one colorant inclusive of a translucent pigment to at least one effect material like metallic or pearlescent pigment in a computer color matching of a coating composition containing said at least one effect material comprising the steps of:
- measuring spectral reflectances of a plurality of coated plate specimens of varied formulating ratios of the at least one colorant to the at least one effect material to be used;
storing the resulting data in a memory of a computer in advance; and
executing an algorithm for predicting reproduction goniospectral reflectances of a target color using measured spectral reflectances from the plurality of coated plate specimens representing differences in gonio-spectral reflectances caused by varying formulating ratios of the at least one colorant to said at least one effect material to find an adequate formulating ratio of the at least one colorant to said at least one effect material.
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Abstract
A method of determining the formulating ratio of metallic or pearlescent pigments to colorants for matching the color of a metallic or pearlescent coating to an target color wherein, the spectral reflectances of a plurality of samples varied in the formulation of colorants and metallic or pearlescent pigments are measured with a goniospectrophotometer and stored in a computer memory beforehand and, in performing a CCM using the stored data, reproduction spectral reflectances are calculated by reflecting the changes in spectral reflectance due to changes in the amount of the metallic or pearlescent pigments.
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Citations
19 Claims
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1. A method for determining a formulating ratio of at least one colorant inclusive of a translucent pigment to at least one effect material like metallic or pearlescent pigment in a computer color matching of a coating composition containing said at least one effect material comprising the steps of:
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measuring spectral reflectances of a plurality of coated plate specimens of varied formulating ratios of the at least one colorant to the at least one effect material to be used;
storing the resulting data in a memory of a computer in advance; and
executing an algorithm for predicting reproduction goniospectral reflectances of a target color using measured spectral reflectances from the plurality of coated plate specimens representing differences in gonio-spectral reflectances caused by varying formulating ratios of the at least one colorant to said at least one effect material to find an adequate formulating ratio of the at least one colorant to said at least one effect material. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
generating data comprising gonio-spectral reflectance data for the target color comprising said least one colorant and said at least one effect material, formulating ratio data thereof, coating thickness data for taking into account an influence of undercoating color or substrate color, and coating thickness as measured for at least one of said plurality of coated plate specimens; and
correcting for a difference between said generated data and the predicted reproduction gonio-spectral reflectances over an entire measuring wavelength range and entire angular range with a fuzzy logic algorithm to improve accuracy of color matching.
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9. The method according to claim 8, wherein the step of correcting for a difference between said generated data and the predicted gonio-spectral reflectance further comprises performing a fuzzy logic algorithm applying a Mamdani fuzzy inference technique.
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10. A method for determining a formulating amount of at least one effect material like metallic or pearlescent pigment in a computer color matching of a coating composition containing said effect material comprising the steps of:
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measuring spectral reflectances of a plurality of coated plate specimens of varied formulating amounts of the at least one effect material to be used;
storing the resulting data in a memory of a computer in advance; and
predicting reproduction gonio-spectral reflectances of a target color using measured spectral reflectances from the plurality of coated plate specimens representing differences in gonio-spectral reflectances caused by varying formulating amounts of the at least one effect material to find an adequate formulating amount of the at least one effect material. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
generating data comprising gonio-spectral reflectance data for the target color comprising the at least one effect material, formulating amount data thereof, coating thickness data for taking into account an influence of undercoating color or substrate color, and coating thickness as measured for at least one of said plurality of coated plate specimens; and
correcting for a difference between said stored data and the predicted gonio-spectral reflectance over an entire measuring wavelength range and entire angular range with a fuzzy logic algorithm to improve the accuracy of color matching.
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19. The method according to claim 18, wherein the step of correcting for a difference between said generated data and the predicted gonio-spectral reflectance further comprises performing a fuzzy logic algorithm applying a Mamdani fuzzy inference technique.
Specification