Sheet Material Defect Tracking via Surface Scatter Pattern Fingerprinting
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Solution Overview
Problem
Existing methods for tracking defects in sheet materials are imprecise due to the stretching or shrinking of materials during processing, leading to unreliable defect location and increased material wastage, as conventional calculation systems fail to accurately determine the position of defects downstream in processing lines.
Innovation Solution
A method and apparatus that utilize unique surface structure features as 'fingerprints' to identify and mark material defects, allowing for precise detection and processing without the need for traditional markings, by using sensors to capture and compare surface structure data records, ensuring accurate identification and processing of defects even when materials undergo changes during handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional marking methods (color markings or markers) are applied to identify material defects, then defect identification is achieved, but the markings are altered or removed during processing, making defect location uncertain
Solution Approach 1:
The patent creates an optical copy of the surface structure feature (scatter pattern) and stores it as data. This digital copy serves as a permanent identifier that doesn't physically exist on the moving material, thus cannot be altered or removed by processing. The stored scatter pattern data acts as a fingerprint that can be matched later to identify the defect location without requiring physical markings on the material.
2Measurement precision
If calculation systems are used to determine defect position based on sheet material speed, then defect location can be estimated, but the precision is extremely low and unreliable due to material stretching or shrinking
Solution Approach 1:
Instead of relying on calculations based on material speed and position, the patent captures an optical copy (scatter pattern) of the actual surface structure at the defect location. This copy is stored as data and later compared with new scatter patterns to precisely identify the defect position, eliminating the need for speed-based calculations that are affected by material stretching or shrinking.
Solution Approach 2:
The patent changes the measurement parameter from macroscopic position calculation (based on speed and time) to microscopic surface structure analysis (scatter pattern). By measuring the unique optical properties of the surface at the defect location rather than calculating position from motion parameters, the system achieves high precision even when the material undergoes dimensional changes during processing.
3Reliability
If larger sheet sections are processed to compensate for imprecise defect location, then defect processing reliability improves, but material wastage increases significantly
Solution Approach 1:
The patent stores an optical copy of the surface structure feature (scatter pattern) as data, creating a precise digital fingerprint of the defect location. This allows for exact identification and targeting of defective areas without needing to process large safety margins, thereby minimizing material wastage while maintaining high defect processing reliability.
4Device complexity
If no defect marking system is used to avoid complexity, then device complexity is reduced, but defect identification and tracking becomes impossible
Solution Approach 1:
The patent uses optical copying (light scattering measurement) to create data representations of surface structure features. This non-contact, contactless method requires no physical marking devices, mechanical components, or complex marking systems. The scatter pattern data serves as a virtual marker that is captured electronically, eliminating the need for elaborate physical defect marking systems while maintaining full defect tracking capability.
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 approach enables precise and reliable identification and processing of material defects, reducing waste by ensuring that only defective sections are targeted, even when materials stretch or shrink, and allows for efficient operation without the need for elaborate defect marking systems.
Implementation Method 1
as surface structure features, in one possible embodiment, a scatter pattern of a laser light impinging onto the surface of the sheet material is acquired
Implementation Method 2
a scatter pattern of a laser light impinging onto the surface of the sheet material is acquired
Data Source
AI summary
The present application relates to a tracking arrangement for the tracking of a material defect in a sheet material, such as a container material or a product-packaging material. The tracking arrangement may comprise a defect sensor, which is configured to detect a material defect in a sheet material moving thereby or therethrough. The tracking arrangement may also comprise a first structure sensor, which is configured to detect at least one inherent structural feature of the sheet material itself in the region of the material defect, as well as a control arrangement, which is configured to receive data from said first structure sensor.