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Method for evaluating high-gloss coating surfaces by fuzzy logic model

A high-gloss, fuzzy logic technology, applied in the field of coating quality assessment, can solve problems such as inaccurate simulation of human visual effects, complex connections, etc., to achieve intuitive output results, flexible parameter selection, and good scalability.

Inactive Publication Date: 2009-09-23
WUHAN UNIV OF TECH
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Problems solved by technology

However, when the human eye comprehensively evaluates the coating quality, the relationship between the various coating quality indicators is much more complicated, because the process is a multi-input nonlinear system.
Therefore, the method of combining various quality indicators with empirical formulas to form a comprehensive evaluation method cannot accurately simulate the visual effect of the human eye.

Method used

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  • Method for evaluating high-gloss coating surfaces by fuzzy logic model
  • Method for evaluating high-gloss coating surfaces by fuzzy logic model
  • Method for evaluating high-gloss coating surfaces by fuzzy logic model

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Embodiment Construction

[0021] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0022] The present invention proposes a method for quantifying the comprehensive quality of the surface of a high-reflection object based on fuzzy logic, and evaluates the comprehensive quality of the surface of the object according to the quantified data. The specific implementation method is as follows:

[0023] The first step: At present, the test items for evaluating the apparent quality have developed gloss, haze, orange peel, etc., so the first evaluation index selects gloss, haze and orange peel to analyze the comprehensive evaluation of the surface of high reflective objects factor.

[0024] The second step: according to the data obtained from the standard board test using the traditional evaluation method as the training set, the Mamdani fuzzy inference system model is established. The invention uses the method of knowledge mining, e...

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Abstract

The invention relates to a method for evaluating high-gloss coating surfaces by a fuzzy logic model. The method comprises the following steps: (1) selecting glossiness, haze and pebbling as analytical factors of comprehensive evaluation; (2) establishing a Mamdani fuzzy inference system model; (3) obtaining a fuzzy set of various parameters of the glossiness, the haze and the pebbling value; (4) obtaining a corresponding output value of the comprehensive evaluation and a corresponding fuzzy set; and (5) obtaining final comprehensive evaluation scores. The method has the following advantages: (1) flexible parameter selection and very good expandability of algorithm; (2) visual output results; and (3) being capable of easily comparing quality differences among different coatings according to a quantized coating surface comprehensive quality index, which has relatively positive effect in the coating field.

Description

technical field [0001] The invention belongs to the field of coating quality evaluation, and relates to a method of fuzzy logic to evaluate the surface of a high-gloss coating by comprehensively scoring the three quality indicators of gloss, haze and orange peel on the surface of a high-gloss coating. An evaluation method that makes the evaluation result consistent with the human visual effect. Background technique [0002] The quality of coating appearance is one of the indicators to evaluate the quality of a product. At present, the test items for evaluating the apparent quality have developed gloss, haze, orange peel, etc. Glossiness represents the amount of light reflected by the surface of the paint film in a certain direction. The greater the amount of directly reflected light, the more obvious the feeling of gloss. Haze refers to the degree of foggy halo in the local area of ​​the mapped pattern on the surface of the paint film, which reflects the intensity of diffu...

Claims

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Application Information

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IPC IPC(8): G01N21/57G01N21/49G06N7/02G06N5/04
Inventor 熊盛武赵斌林婉如谢啸虎段鹏飞
Owner WUHAN UNIV OF TECH
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