JP2003279413A - Method of classification, arrangement, and selection of metallic painting color - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an evaluation method of textures of a metallic painting color and selecting method of the metallic painting color. <P>SOLUTION: The classification and arrangement method of a metallic painting color uses an evaluation method (I) in which a standard deviation value and a distance scale value are shown in graph using a synthetic scale standard method (b) which are obtained from ranking data obtained by microscopically and macroscopically evaluating textures (A) of at least one metallic painting color, which is selected corresponding to its luster, clearness, brightness, and shin. The classification and arrangement method of a metallic painting color uses an evaluation method (II) in which data obtained by making a graph of a standard deviation value and a distance scale value using a synthetic scale standard method (b) which are obtained from textures (A) of a metallic painting color is analyzed using a multiple regression of a multivariate analysis to derive an equation (c) and then substituting an evaluation factor (d) measured by a measurement instrument. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for classifying and organizing metallic paint colors and a method for developing paint colors using the method for classifying and organizing metallic paint colors.

[0002]

2. Description of the Related Art When a paint manufacturer decides a paint color for an object to be coated, for example, in the case of a top coat color of an automobile, a color designer of an automobile company first requests a paint color (new color).

[0003] The expression method is "cut-out photographs of magazines (clothes, articles, landscapes, etc.)" or "comment in words or sentences" as an expression attached to it. This "comment with words or sentences" is abstract and difficult to understand because it is abstract, such as "there is a metallic feeling and particles are glaring."

The paint color (new color) development by paint manufacturers was developed by repeated trial and error based on past experience and knowledge in response to the demand for "abstract expression" as described above. Show the color to the color designer of the car company and ask for evaluation. If it matches the image of the color designer of the car company, the development of the paint color (new color) ends, but if it does not match the image of the color designer of the car company, the abstract "comment by words or sentences" Repeat the correction and correction by ".

The contents are, for example, "Please make the grain feeling a little weaker and the depth feeling a little higher."
The paint color (new color) is developed by an abstract expression method using "comments in words and sentences".

Here, as a conventional technique, as a method of "classifying and arranging the metallic paint colors" for determining the color of the metallic paint color that changes depending on the viewing angle, the representative color of the metallic paint colors is Hue-Tone (huy tone). ) Value and classify the coating color of the metallic coating color on the Hue-Tone chart (see Japanese Patent Application Laid-Open No. 11-21169).

In this method, the "color (color)" itself is accurately classified, but the texture depending on the human sense (for example, metallic feeling, missing feeling, glittering feeling, glare feeling, transparency feeling, (Deepness, vividness, color accumulation, and precision) are many abstract expressions, and "comments in words and sentences" also include variations due to individual sense differences. The demands and thoughts of the paint color were not accurately transmitted to the paint engineers who developed the paint color, and it took a huge amount of time, money, and labor to develop the paint color.

[0008]

As a result of intensive studies for solving the above-mentioned problems, the inventors of the present invention classify metallic paint colors into colors and textures as shown in FIG. In the expression method of, the evaluation method (I) of making a graph, the evaluation method (II) of applying the evaluation factor to the function formula and numerically expressing it, and the evaluation method of the text expressing the image (II
I) and a panel evaluation method (IV) were used to find a method for classifying and organizing the texture of metallic paint colors.

That is, the present invention is as follows: Texture (A) of at least one metallic coating color selected from metallic feeling, clear feeling, glittering feeling, and glittering feeling
Is an evaluation method in which the micro-texture and macro-texture of the paint color are evaluated, and the obtained rank data (a) is graphed with the standard deviation value and the distance scale value obtained by using the synthetic scale standard method (b) (I )
1. A method for classifying and organizing metallic paint colors using. The data on the texture obtained by graphing the standard deviation value and the distance scale value of the texture (A) of the metallic paint color by the synthetic scale standard method (b) is subjected to the multiple regression analysis of the multivariate analysis to obtain the functional expression (c 2.), and a method of classifying metallic paint colors using an evaluation method (II) in which the evaluation factor (d) obtained by a measuring instrument is substituted to be digitized. The texture (A) of the metallic paint color is evaluated by the evaluation method (I),
In addition to the evaluation method (II), a textual evaluation method (II) showing the image of the metallic paint texture (A)
3. A method for classifying and organizing metallic paint colors using the evaluation method (IV) by I) and / or the texture (A) of metallic paint colors by a panel; The texture (A) of the metallic coating color is transparent, deep,
Method for classifying and organizing metallic coating color according to any one of items 1 to 3 selected from vividness, color tingling and denseness, and metallic coating according to any one of items 5.1 to 4. The present invention relates to a metallic paint color selection method using a color classification and arrangement method.

[0010]

BEST MODE FOR CARRYING OUT THE INVENTION Evaluation methods (I) to (IV) for texture (A) and methods (I) to (IV) for evaluating texture (A) in the method for classifying metallic paint colors according to the present invention are used. For example, a method of evaluating a texture (A) such as a metallic feeling, a feeling of dullness, a feeling of glitter, and a feeling of glare, and a method of selecting a coating color using the method of classifying and organizing the metallic coating color will be described.

Evaluation method (I): Texture of metallic coating color (A) such as metallic feeling, clear feeling, glittering feeling, and glittering feeling
Was evaluated for the micro texture (Note 1) and macro texture (Note 2) of the paint color, and the standard deviation value and distance scale obtained by the synthetic scale standard method (b) based on the obtained rank data (a). This is a method of classifying and organizing metallic paint colors in which values are graphed and evaluated.

(Note 1) "Micro texture" means "a texture that is felt when the eyes are brought close to each other." For example, the glittering and glare that is observed while moving a colored paper at hand corresponds to the "micro texture". However, in a car body that has actually been painted, it is when you approach the car wash and look at the paint color when you realize this "micro texture".

(Note 2) The macro texture is "a texture that can be felt at a long distance." At a distance of 1 m or more, for example, the texture observed by affixing colored paper on the wall a few meters away corresponds to the "macro texture", and when looking at the car body normally,
I observe with this "macro texture".

The order data (a) is obtained by a color designer (for example, an automobile maker or other industrial design) visually observing the metallic paint color, and various items (in the above "micro texture" and "macro texture") (For example, strong and weak metal feeling, strong and weak feeling) are evaluated and ranked.

Next, the standard deviation value and the distance are calculated from the ranking data (a) (in addition to the evaluation by the color designer's words or sentences in some cases) using the synthetic scale standard method (b) (Note 3). This is a method of classifying and organizing metallic paint colors in which scale values are graphed and evaluated, and is shown in FIGS. 2 and 3.

2 and 3, the magnitude of the standard deviation value on the vertical axis indicates the variation in the sense of the individual color designer. The larger the variation, the greater the variation in the texture by the individual, and the smaller the variation in the texture in the individual.

The distance scale value on the horizontal axis is a value obtained by revising the order of the metallic coating colors by visual observation to the distance (stimulation intensity), and is finally obtained as a numerical value between 0 and 100. A large distance scale value indicates that the desired texture (for example, metallic feeling, missing feeling, glittering feeling, and glittering feeling) is strong, and a small distance scale value indicates that the desired texture is weak. (Note 3) Composite scale method (b): The composite standard method is a numerical processing method that statistically processes the variations occurring in the ranking data of a plurality of panels and converts it into a distance scale.

4 to 7 show an example of the standard method for synthesizing the actual texture. In the figure, the horizontal axis represents the distance scale value of the texture stimulation of each sample (panel) derived from the normal distribution table based on the variation in the ranking data of the color designer.

On the horizontal axis, the minimum value is 0 and the maximum value is 100. The vertical axis shows the variation in the ranking of the panels by the standard deviation, and the longer the vertical axis, the greater the variation. (Detailed description is given on page 684 of Nikkan Federation Sensory Examination Committee: New Edition Sensory Examination Handbook, Nikkan Giren Publishing Co., Ltd., 1973, p. 684). The graph by the evaluation method (I) described above is shown in FIG.
This is shown at 4 in FIGS. 7 and 8.

Evaluation method (II) In the evaluation of the texture (A) of metallic coating color such as metallic feeling, clear feeling, glitter feeling, and glitter feeling, the standard deviation and the distance scale are graphed by the synthetic scale standard method (b). After obtaining the data regarding the texture, multiple regression analysis of the multivariate analysis is performed on this data to obtain the functional expression (c), and the evaluation factor (d) obtained by the measuring instrument is substituted for "numerical" evaluation. This is a method of classifying and organizing metallic paint colors by method (II).

For example, the functional expression (c) of metallic feeling, missing feeling, glitter feeling, and glitter feeling is expressed as follows.

Metallic feeling = 34.66FF + 3.7HG-307.5 (multiple correlation coefficient (R ² ) = 0.93) ... Equation (1) Missing feeling = 185.6FF + 0.74IV-304.5 (multiphase relationship Number (R ² ) = 0.88) Expression (2) Glittering feeling = 1.9HB-21.2L * 75-2.5 (Multiple correlation coefficient (R ² ) = 0.97) Expression (3) glittering feeling = 6.6HG-476.4 (multiple correlation coefficient (R ²⁾ = 0.81) ... evaluation factors of formula (4) where (b) is, MA68-2 (US X-Ri
It can be measured using a spectrophotometer manufactured by TE.

Evaluation Method (III) The evaluation method (III) based on the text representing the image is evaluated as the evaluation method (I) for the texture (A) of the metallic coating color such as metallic feeling, missing feeling, glitter feeling, and glitter feeling. Method (II)
In addition to the above, the texture (A) of the metallic paint color can be further explained by supplementing it with the evaluation method (III) using the text representing the image (see 2 in FIG. 8).

[0024] For example, the metallic impression is that the highlights are sharp in width, shining brightly and the shades are black. The points of visual observation of metallic feeling (see 3 in FIG. 8) are: 1. The stronger the FF value, the stronger the metallic feeling. 2. If you have a good balance of lightness, hue and FF value, you will feel a metallic feeling. 3. If there is a glaring feeling (roughness of aluminum particles), a metallic feeling is felt. The texture (A) of the metallic paint color can be expressed in more detail by adding such evaluations.

[0025]. For example, the feeling of missing is the impression that “highlights are strong”. Specifically, the highlight band is strong (= IV value is high), distorted (the orientation of the glittering material is good), and the clear nose muscle passes. (= Not a large particle size, but a medium particle size or less) The coating color was highly evaluated for the feeling of missing. In terms of material, aluminum has a better feeling of transparency than the coating color of pearl mica, but the coating color of pearl mica can be classified by the above factors. The effect of hue on the feeling of transparency is small, and I feel a "feeling of clarity" more than achromatic colors or chromatic colors.

The points of visual observation of the feeling of missing are 1. The metallic texture (FF feeling of aluminum) or the feeling of "feeling" is stronger than the pearl mica-like texture. 2. When the highlights and shades are sharp and sharp, you can feel a sense of lack of clarity. 3.
The achromatic color gives a stronger "feeling".

[0027] For example, the feeling of glitter is a texture that can be seen from a microscopic point of view, but even with the same luster material, the texture may differ from "flutter", "glitter", and "glitter" depending on the amount added, Quantity matters. The visual impression is that the particles are “flickering” and it is important to give a texture that does not densely block light.

There is a movement of "light" when moving from the highlight to the shade at a viewing angle, and it is said that the highlight is not a band-like shining when viewed from a distance, but a sparsely shining one is preferable. is there. This is an evaluation in which each glittering particle has a high brightness, the base color has a low lightness, and the coating color having a relatively large contrast gives a “glittering feeling”.

The points of visual recognition of glitter are as follows. "Glittering" is a feeling that particles are scattered.
2. If the brightness of the glitter particles is high, you will feel a "glitter". 3. When you move from highlight to shade during observation, you will feel a “glitter” when there is a movement of light. 4. If the shade is a dark paint color, you will feel a "glitter".

.. For example, the "glittering feeling" is a word that mainly represents the brilliance of particles in highlights, but the "glittering feeling" is a case where a flake pigment having a large particle size is used and a high density color is obtained. Feel the "glittery" texture. The texture is similar to the one obtained with a “metallic feeling”, and the achromatic color feels a “glittery” texture stronger than the chromatic color.

The visual points of such "glittering feeling" are as follows. There is a grainy feel from the highlights to the face. 2. Coarse-grained paint color gives a "glittering feeling". 3.
A low-brightness paint color that is strong against neutral paint colors and gives a "glittery" texture.

As described above, the "metallic feeling", the "missing feeling",
The texture of the metallic paint color can be further expressed by explaining it with a sentence representing an image of “glittering feeling” and “glittering feeling”.

Evaluation method (IV): The evaluation method (IV) by the panel is "metal feeling", "clear feeling", "glittering feeling",
A typical colored paper (a metallic paint is applied on the paper and processed into a size that can be observed as a sample) representative of "glittering feeling" is attached to 2 to 10 sheets of the mount, and the evaluation method (I ) -By performing an evaluation together with the evaluation method (III), the texture of the metallic paint color can be expressed in more detail.

The metallic paint colors are classified and arranged by evaluating the texture (A) by the evaluation methods (I) to (IV), which are "transparency", "depth", "vividness" and "color accumulation". It can also be applied to textures such as ",""denseness", etc., and it will contribute to the development of paint colors by engineers and the like by systematizing documents and books, or digitalizing them as digital data and organizing them on the Internet.

FIG. 8 is an explanatory diagram of the systematized contents of the method for evaluating the metallic texture. Using the left half, from the top, the texture name (1 in FIG. 8), a sentence summarizing the comment contents of the subject (panelist) when visually evaluating each colored paper (2 in FIG. 8), and a visual comment (3 in FIG. 8) ), A functional expression of texture by multivariate analysis (4 in FIG. 8), and a graph (5 in FIG. 8) showing the distance scale and standard deviation by the synthetic scale standard method. The colored paper (6 in Fig. 8) that has the desired texture on the right side is arranged so that it feels stronger toward the bottom.
We have created a file that is easy to compare with the paint colors that will be studied in the future.

[0036]

INDUSTRIAL APPLICABILITY According to the present invention, in a method of classifying and organizing metallic paint colors, the following evaluation methods (I) and (II) are used to evaluate the textures such as metallic feeling, missing feeling, glitter feeling, and glitter feeling.
In addition, the texture of the metallic paint color can be accurately expressed by further evaluating by the evaluation methods (III) and (IV).

Further, by systematizing and collecting the information obtained by these evaluation methods, it is possible to improve the accuracy in the information exchange between the color designer and the paint engineer based on the information, and to (New color) It contributes to the speed of development and improvement of precision.

Evaluation method (I). The texture of the metallic paint color is evaluated for the micro-texture and macro-texture of the paint color, and the obtained ranking data is evaluated by graphing the standard deviation and the distance scale by the synthetic scale standard method.

Evaluation method (II). Data obtained by graphing the standard deviation and distance scale of the texture of metallic paint by the composite standard method, and performing multiple regression analysis of multivariate analysis to obtain a functional expression, and the evaluation obtained by the measuring instrument. Substitute factors and digitize and evaluate.

Evaluation method (III). The texture of the metallic paint color is evaluated by the text representing the image.

Evaluation method (IV). The texture of the metallic paint color is evaluated by colored paper (panel).

[0042]

EXAMPLES The present invention will be described in more detail with reference to examples. The present invention is not limited to these.

EXAMPLES AND COMPARATIVE EXAMPLES Example 1 Evaluation Method (I): An experienced color designer who has experience in developing a paint color paints colored papers (panels) of various textures such as a metallic feeling, a missing feeling, a glittering feeling, and a glittering feeling. ) Was selected five each.
Next, a color designer (subject) with experience in developing paint colors
We evaluated the ranking of 14 people, and asked the evaluation priority items (points) they were looking at at the time of evaluation (hearing), and digitized and summarized the results of the designer's evaluation.

Further, based on the ranking values of the color designer, Microsoft Excel is used to calculate the standard deviation value and the distance scale value by the composite scale standard method, and the strength of each texture is plotted from the horizontal axis to the vertical axis. Shows the variation of color designers (subjects). Graphs are shown in FIGS.

Evaluation method (II): Using a portable gonio-spectrophotometer (trade name: MA68-2) manufactured by X-Rite, Inc. of USA, the coated color paper selected in the evaluation content (I) was measured. ,
IV value (Note 4), SV value (Note 5), FF value (Note 6), L
* 75 (Note 9) value and HG value (Note 7) and HB value (Note 8) were obtained using a micro particle size measuring device (manufactured by Kansai Paint Co., Ltd.). The data is STAT WORKS (JUSE P
Multiple regression analysis was performed using ACKAGE SOFTWARE (trade name, software) to obtain a functional formula, and the numerical data obtained by colorimetry was substituted into the functional formula to digitize each texture data.

Evaluation method (III): The contents of evaluation priority items at the time of hearing were summarized and evaluated together with the evaluation item (I) and the evaluation method (II).

For example, metallic feeling “high FF value, high HG value at 15 degrees highlight”, missing feeling “FF value, IV
Both values are high ", glitter is" particle shade at 75 degrees is high, L * value is low at 75 degrees ", and glare is" HG value is high ".

Evaluation method (IV): Five colored papers (panels) were attached together with the evaluation item (I), the evaluation method (II) and the evaluation method (III).

Using the above method, the total man-hour (person × hour) required for developing 30 new colors was 210 hours.

Comparative Example 1 Evaluation Method (III): By a sentence representing an image of texture,
The metallic feel is described as "a paint color with a strong metallic feel" and "a paint color that feels a solid metal".

By the text that expresses the texture, the feeling of missing is expressed as "high clear clear paint color""high clear paint color".

Depending on the text that expresses the texture, the glittering feeling is “sparkling paint color”, “painting color that has a grainy feeling from highlight to face”, “painting that has a glittering feeling”, and “paint that has a strong grainy feeling”. "Color".

The glaring feeling is expressed as "glittering paint color" or "rough paint color" by the text representing the texture. Evaluation method ((IV): Evaluation item (I) and evaluation method (I
I) and evaluation method (III) together with 5 sheets of each colored paper (panel)
Is attached and summarized. Using the above method, the total man-hours (person × hour) required for developing 30 new colors was 400 hours or more.

Table 1 shows the evaluation contents and results of Example 1 and Comparative Example 1.

[0055]

[Table 1]

IV value (Note 4): The brightness value of 15 degrees in FIG. 9, which is slightly deviated from the specular reflection light, that is, the brightness of the highlight is defined as the “IV value”.

SV value (Note 5): The brightness value at 45 degrees in FIG. 9, that is, the front brightness is defined as the SV value.

FF (Note 6): Highlight (luminance value: IV) slightly shifted in angle from 0 degree (regular reflection light) in FIG.
There is a FF (Flip-Flop) value as a parameter that indicates the contrast of the front color at 45 degrees (brightness value: SV) and the contrast between the highlight and the front color. It represents the contrast of a certain SV value. The larger this value, the higher the brightness of the highlight, and the shade gives a dark metallic texture from the front.

L * 75 (Note 7): CIE in lightness evaluation
The L * value of L * ab in the color matching function of is shown. Number seventy-five
Indicates the value of the shade of 75 degrees in FIG.

HG value (Note 8): Shows the graininess of highlight. The metallic coating color was measured with a digital camera at a highlight of 15 degrees, and the HG value was determined using a microparticle size measuring device (manufactured by Kansai Paint Co., Ltd.). For details, please refer to Kansai Paint Co., Ltd. 132 Apr. 1999
See P22-23.

HB (Note 9): Shows the sense of brightness of the shade.
The metallic coating color was measured with a digital camera at 75 degrees of the shade in FIG. 9, and the HB value was obtained using a microparticle size measuring device (manufactured by Kansai Paint Co., Ltd.).

[Brief description of drawings]

[Figure 1] Diagram of the classification and arrangement method of paint colors

FIG. 2 is a graph illustrating a synthetic scale standard method.

FIG. 3 is a graph illustrating a synthetic scale standard method.

FIG. 4 is a graph showing a metallic feeling using a synthetic scale method.

FIG. 5 is a graph showing a feeling of loss using a synthetic scaling method.

FIG. 6 is a graph showing glitter feeling using a synthetic scale method.

FIG. 7 is a graph showing a feeling of glare using a synthetic scaling method.

FIG. 8 is an explanatory diagram of systematic contents of a method of evaluating a metallic texture.

FIG. 9 is a glitter distribution map of metallic coating colors.

[Explanation of symbols]

1. Indicate the texture (for example, metallic feeling, missing feeling, glitter feeling, glitter feeling). 2. A summary of the concept of each texture from the information when evaluating each colored paper (panel). : Evaluation method (III) 3. Write the visual comment briefly. : Evaluation method (III) 4. It is a functional expression of texture using multiple regression analysis by multivariate analysis. : Evaluation method (II) 5. A graph based on the synthetic scaling method is attached. : Evaluation method (I) 6. The evaluation colored paper (panel) is attached, and the number of the colored paper corresponds to the number in the graph by the synthetic scale method. : Evaluation method (IV)

─────────────────────────────────────────────────── ───

[Procedure amendment]

[Submission date] March 27, 2002 (2002.3.2)
7)

[Procedure Amendment 1]

[Document name to be amended] Statement

[Name of item to be corrected] 0045

[Correction method] Change

[Correction content]

Evaluation method (II): Using a portable gonio-spectrophotometer (trade name: MA68-2) manufactured by X-Rite, Inc. of USA, the coated color paper selected in the evaluation content (I) was measured. , IV value (Note 4), SV value (Note 5), FF value (Note 6), L * 75 (Note
7 ) value, and using a microparticle sensitometer (manufactured by Kansai Paint Co., Ltd.), HG value (Note 8 ) and HB value (Note 9 ) were determined. STAT WORKS (JUSE PACKAG
Multiple regression analysis was performed using E SOFTWARE (trade name, software) to obtain a functional formula, and the numerical data obtained by colorimetry was substituted into the functional formula to digitize each texture data.

[Procedure Amendment 2]

[Document name to be amended] Statement

[Correction target item name] 0047

[Correction method] Change

[Correction content]

For example, metallic feeling "high FF value and high HG value", missing feeling "both FF value and IV value are high", glitter
The feelings are summarized as " high HB value and low L * value of 75 degrees" and glare "high HG value".

[Procedure 3]

[Document name to be amended] Statement

[Correction target item name] 0061

[Correction method] Change

[Correction content]

HB (Note 9): With the glittering feeling of highlights
Correlated parameters. 9 degrees highlight 15 degrees meta
Rick paint color is digital camera (sometimes abbreviated as digital camera)
The HB value was determined using a microparticle size measuring instrument (Kansai Paint Co., Ltd.).

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Claims (5)

[Claims] 1. A ranking data (a) obtained by evaluating a micro-texture and a macro-texture of a paint color for at least one metallic paint color texture (A) selected from a metallic feeling, a clear feeling, a glittering feeling, and a glittering feeling. ) Is a method of classifying and organizing metallic paint colors using an evaluation method (I) that graphs the standard deviation value and the distance scale value obtained by using the synthetic scale standard method (b). 2. The multiple regression analysis of the multivariate analysis is performed on the data about the texture obtained by graphing the standard deviation value and the distance scale value of the texture (A) of the metallic paint color by the synthetic scale standard method (b). A method for classifying and organizing metallic paint colors using an evaluation method (II) in which a functional expression (c) is calculated by using the evaluation method (d) obtained by a measuring instrument and digitized. 3. The metallic paint color texture (A) is added to the evaluation method (I) and the evaluation method (II), and a textual evaluation method (III) representing an image of the metallic paint color texture (A). And / or a method for classifying and classifying the metallic paint color using the panel evaluation method (IV) of the metallic paint color texture (A). 4. The metallic coating color according to claim 1, wherein the texture (A) of the metallic coating color is selected from transparency, depth, vividness, color accumulation and compactness. Classification method. 5. A metallic paint color selection method using the metallic paint color classification and arrangement method according to claim 1. Description: