Optical Measurement System for Surface Texture Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optical measurement systems face challenges in ensuring measurement precision and reliability, particularly when operated by non-dedicated personnel, as they struggle to select appropriate objective lenses for surface texture evaluation, leading to potential low reliability of measurement data due to trade-offs between measurement range and accuracy.
Innovation Solution
A measurement system that includes an optical measurement instrument and a control apparatus capable of repetitively measuring a specimen's surface without changing settings, evaluating the appropriateness of the measurement settings by comparing measurement values and degrees of variation in measurement data, thereby ensuring high reliability of surface texture evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If optical measurement instruments are used to measure surface texture, then measurement speed and ease of operation are improved, but measurement precision and reliability deteriorate due to difficulty in selecting appropriate settings
Solution Approach 1:
The measurement instrument automatically evaluates the appropriateness of its own measurement settings by comparing repetitive measurement results. The system performs self-diagnosis by calculating variation degrees between multiple measurements and determining whether the current settings are appropriate, eliminating the need for operator expertise in setting selection.
Solution Approach 2:
The system provides feedback to the operator about the appropriateness of measurement settings based on automatic evaluation of repetitive measurements. The control apparatus communicates whether the current settings are appropriate or inappropriate, allowing operators to adjust settings based on objective feedback rather than subjective judgment.
2Productivity
If optical measurement instruments are used to measure surface texture, then measurement speed is improved, but measurement precision deteriorates due to trade-off between measurement range and accuracy
Solution Approach 1:
The system performs preliminary repetitive measurements to evaluate setting appropriateness before final measurement. By conducting preliminary tests and automatically assessing whether settings are appropriate, the system ensures measurement precision is maintained while preserving the speed advantage of optical measurement methods.
3Ease of operation
If non-dedicated personnel operate measurement instruments, then ease of operation is improved, but measurement precision deteriorates due to inability to select appropriate settings
Solution Approach 1:
The measurement instrument performs self-evaluation of setting appropriateness through automatic comparison of repetitive measurements. This eliminates the need for operator expertise, allowing non-dedicated personnel to obtain precise measurements without requiring knowledge of complex setting selection criteria.
Solution Approach 2:
The system provides automated feedback to operators about whether measurement settings are appropriate, enabling non-expert users to make informed adjustments. The feedback mechanism compensates for lack of operator expertise by providing objective guidance on setting appropriateness based on actual measurement variation.
Data Source
AI summary
A measurement system includes: an optical measurement instrument that measures a surface of a specimen; and a control apparatus that controls the measurement instrument. The control apparatus includes: one or more non-transitory computer-readable media that include an instruction; and one or more processors that execute the instruction. The instruction is configured to cause the one or more processors to execute an operation. The operation includes: causing the measurement instrument to repetitively measure the surface of the specimen without changing the setting; and evaluating appropriateness of the setting for measuring surface texture of the specimen, based on comparison between a measurement value of the surface texture of the specimen calculated from a measurement data item output from the measurement instrument, and a degree of variation in measurement by the measurement instrument calculated from a plurality of measurement data items output from the measurement instrument.