Liquid Paint Color Prediction for Dry Film Verification
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Solution Overview
Problem
The existing paint preparation process involves time-consuming color verification steps that generate waste and environmental issues, with varying color values between liquid and dry paints due to manufacturing environment variations.
Innovation Solution
A method to predict dry paint color values from liquid paint values by measuring and applying weight and bias values to the relationship between liquid and dry coating films, allowing direct prediction without the need for a dry paint verification step.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dry paint color verification step is performed by sampling, drying, and curing liquid paint samples, then color verification accuracy is improved, but process time increases and waste paint is generated
Solution Approach 1:
The patent creates a predictive model that copies the relationship between liquid paint color values and dry paint color values through multiple linear regression analysis. This model allows dry paint color verification to be performed by measuring liquid paint color values, eliminating the need for actual drying and curing of samples while maintaining verification accuracy.
Solution Approach 2:
The patent replaces the physical drying and curing process with a mathematical prediction system. Instead of physically transforming liquid paint samples into dry films for measurement, the system uses multiple linear regression analysis to calculate predicted dry paint color values from liquid paint measurements, substituting a mechanical/chemical process with a computational one.
2Measurement precision
If a dry paint color verification step is performed by sampling, drying, and curing liquid paint samples, then color verification accuracy is improved, but waste paint is generated
Solution Approach 1:
The patent creates a predictive model that copies the relationship between liquid paint color values and dry paint color values through multiple linear regression analysis. This model allows dry paint color verification to be performed by measuring liquid paint color values, eliminating the need for actual drying and curing of samples while maintaining verification accuracy.
Solution Approach 2:
The patent replaces the physical drying and curing process with a mathematical prediction system. Instead of physically transforming liquid paint samples into dry films for measurement, the system uses multiple linear regression analysis to calculate predicted dry paint color values from liquid paint measurements, substituting a mechanical/chemical process with a computational one.
3Manufacturing precision
If dry paint color verification is performed through spraying or painting processes followed by drying/curing, then color accuracy is improved, but process complexity increases
Solution Approach 1:
The patent creates a predictive model that copies the relationship between liquid paint color values and dry paint color values through multiple linear regression analysis. This model allows dry paint color verification to be performed by measuring liquid paint color values, eliminating the need for actual drying and curing of samples while maintaining verification accuracy.
Solution Approach 2:
The patent extracts the essential relationship between liquid and dry paint color values through regression analysis of multiple samples. By taking out and generalizing the color transformation relationship from specific samples, the system can predict dry paint color without performing the complete drying and curing process, thereby simplifying the verification procedure.
4Productivity
If liquid paint color values are used to predict dry paint color values using regression analysis, then process time is reduced, but measurement precision may be compromised
Solution Approach 1:
The patent performs preliminary multiple linear regression analysis using a large number of liquid and dry paint color value pairs to establish accurate prediction coefficients. This preliminary action creates a robust predictive model that maintains high measurement precision when used for subsequent predictions, allowing fast verification without sacrificing accuracy.
Solution Approach 2:
The patent segments the color verification process into two distinct phases: (1) model building phase where multiple linear regression analysis is performed on numerous samples to establish prediction relationships, and (2) prediction phase where the established model is applied to new samples. This segmentation allows comprehensive data analysis to be performed once, enabling fast and accurate predictions thereafter.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Simplifies the paint preparation process, reduces waste, and accurately predicts dry paint color values with a color difference of 0.5 or less from liquid paint measurements.
Implementation Method 1
measuring liquid reflectance 1stRwet for each of the 1st to nth first liquid coating films at wavelength r
Data Source
AI summary
The present invention relates to a method for predicting a dry paint color value from a liquid paint color value, and, when producing a second liquid film having the same component as a first liquid film, a process for producing a second dry film by drying and curing the second liquid film can be skipped, and a reflection rate of the second dry film can be predicted according to the prediction method according to the present invention.