Quantitative Test Method for Optical Material Striae
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Solution Overview
Problem
Current methods for testing striae in optical materials are qualitative or semi-quantitative, lacking objective and accurate evaluation, which hinders the selection of suitable materials for optical systems and the improvement of melting processes.
Innovation Solution
A quantitative test method is developed, involving the establishment of a 'striae value' algorithm and a photoelectric projection measurement apparatus with standard proof samples and a gray ruler, enabling precise measurement of striae defects in optical materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If qualitative projection method or semi-quantitative schlieren method is used, then observation of striae is possible, but quantitative measurement of striae cannot be achieved
Solution Approach 1:
The patent replaces the traditional optical projection system and schlieren system with a digital image processing system. Instead of using complex optical components to achieve qualitative or semi-quantitative measurement, the invention uses a camera to capture images and employs image processing algorithms to extract quantitative striae parameters, thereby achieving quantitative measurement while reducing device complexity.
Solution Approach 2:
The patent creates a digital copy of the striae defects through image capture and processing. By capturing the striae patterns in the optical material and processing these digital images, the system can quantitatively analyze striae characteristics without requiring direct physical measurement, thus achieving precise measurement with simplified equipment.
2Measurement precision
If human eye visual perception is used to determine striae levels, then qualitative evaluation is possible, but objectivity and accuracy are lacking
Solution Approach 1:
The patent replaces the human visual perception system with an automated image processing system. Instead of relying on observers to visually evaluate striae and assign grades, the invention uses digital image analysis algorithms to automatically detect, measure, and evaluate striae characteristics, thereby eliminating subjective bias and achieving objective, accurate, and automated evaluation.
Solution Approach 2:
The patent enables the measurement system to perform self-evaluation of striae defects. The image processing system automatically analyzes the captured images, extracts striae parameters, and determines defect levels without requiring human intervention, thus achieving fully automated and objective quality assessment.
3Measurement precision
If no quantitative index is established for striae boundaries, then qualitative grading is simple, but reliable quantitative expression for optical system design cannot be provided
Solution Approach 1:
The patent transforms the qualitative striae grading problem into a quantitative parameter measurement problem. By defining specific measurable parameters such as striae area ratio, gray level distribution, and pattern characteristics, the system can provide reliable quantitative expressions for striae defects. These parameters serve as objective criteria for evaluating material quality and guiding optical system design.
Solution Approach 2:
The patent creates a quantitative model of striae defects through digital image copying and analysis. By capturing the striae patterns and processing them through algorithms that calculate specific parameters (area ratio, gray level, etc.), the system generates reliable quantitative data that can be used for material selection and optical design without requiring complex physical measurement setups.
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
This method provides accurate and objective quantification of striae defects, improving the selection of materials and the quality of optical systems, and guiding improvements in the melting process.
Implementation Method 1
comprises a parallel light source system, the measurement sample, a first positive lens, a second positive lens and an image sensor along the direction of an optical axis sequentially
Data Source
AI summary
The present application relates to the measurement technology of the striae in optical materials, and more particularly to a quantitative test method for the striae in optical materials. The method includes: establishing a concept and algorithm of the striae quantitative expression; establishing a gray ruler of striae quantitative measurement and standard proof samples to calibrate a photoelectric projection measurement apparatus equipped with a photoelectric image sensor; imaging a measurement sample with the calibrated photoelectric projection measurement apparatus and obtaining the striae image of the measurement sample thereof and determining values of the parameters of the area and gray of the striae image; and inputting the values into the algorithm to calculate the striae value of the measurement sample.