Metal Tube Eccentricity Classification via Optical Detection
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Solution Overview
Problem
Metal tubes often exhibit non-homogeneous wall thickness, leading to inefficiencies and material waste, as existing methods for measuring eccentricity are either destructive or unreliable, particularly for long tubes.
Innovation Solution
A method for classifying metal tubes based on in-line, non-destructive measurement of eccentricity along their entire length, using a detection system and processor to assign classes based on defined thresholds and reference lengths, allowing for efficient sorting and labeling for specific applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used to measure eccentricity, then the measurement can be performed with simple equipment, but the measurement is not sufficiently reliable and is only performed at limited locations (head and tail portions)
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated optical detection system. The system uses a camera to capture images of the tube cross-section and processes these images to calculate eccentricity automatically, eliminating the need for manual measurement while achieving continuous measurement along the entire tube length.
Solution Approach 2:
The patent creates a digital copy (image) of the tube cross-section using a camera, and then processes this copy to determine eccentricity. This allows measurement without physically touching or damaging the tube, and enables continuous measurement along the entire length rather than just at discrete points.
2Measurement precision
If destructive measurement methods are used to measure eccentricity in intermediate areas, then measurement data can be obtained from tube sections, but the tube is damaged and cannot be used for its intended application
Solution Approach 1:
The patent replaces destructive mechanical cutting and physical sampling with non-contact optical imaging. The camera captures the tube cross-section externally, and image processing algorithms extract eccentricity information without any physical contact or damage to the tube.
Solution Approach 2:
The patent creates a visual copy of the tube cross-section through imaging, allowing measurement of intermediate sections without physically cutting or damaging the tube. The digital image serves as a substitute for physical sampling, preserving the tube's integrity while providing comprehensive measurement data.
3Reliability
If minimum wall thickness requirements are ensured by using extra material during production, then the thinnest wall meets the required thickness, but there is great waste of material with economic repercussions
Solution Approach 1:
The patent performs preliminary measurement of the actual tube eccentricity and wall thickness distribution before the tube is used. By knowing the exact locations and magnitudes of thin walls through non-destructive measurement, manufacturers can verify compliance without needing to add excess material as a safety margin.
Solution Approach 2:
The patent provides feedback information about the actual wall thickness distribution and eccentricity of each tube. This feedback allows manufacturers to make informed decisions about tube usage and classification, eliminating the need to uniformly increase material usage across all tubes to compensate for unknown variations.
4Measurement precision
If continuous eccentricity measurement along the entire tube length is implemented, then accurate classification is achieved, but the measurement system becomes more complex and costly
Solution Approach 1:
The patent replaces complex mechanical measurement systems with a simpler optical system consisting of a camera and image processing software. This substitution achieves continuous measurement along the entire tube length while reducing mechanical complexity and enabling more affordable implementation.
Data Source
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AI summary
A method for classifying metal tubes in which the measuring of the eccentricity over the entire length of the tube is provided, and in which the classification occurs on the basis of the length of the tube portions which have eccentricity either higher or lower than one or more eccentricity thresholds.