Cross-Correlation Profile Alignment for Sheet Coating Weight Control
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Solution Overview
Problem
Current sheet manufacturing processes face challenges in detecting and correcting scanner misalignment, which leads to inaccurate quality control and potential poor sheet quality due to the manual and time-consuming nature of existing alignment monitoring methods.
Innovation Solution
An automatic monitoring system that employs cross-correlation analysis to track changes in profile misalignment over time, providing real-time alerts and data for corrective actions, ensuring that designated bins at one scanner correspond to the same bins at other scanners, thus maintaining accurate profile alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment checking is performed by gathering and analyzing data, then alignment can be verified, but the process is time-consuming and requires high level domain knowledge
Solution Approach 1:
The patent replaces manual alignment checking with an automated system that uses sensors to capture sheet material profiles and a processor to perform cross-correlation analysis. This substitutes human operators and manual data analysis with automated mechanical and computational systems, eliminating the need for domain knowledge while maintaining measurement precision.
Solution Approach 2:
The alignment monitoring system performs self-verification by automatically capturing profiles, analyzing alignment through cross-correlation, and generating alerts without human intervention. The system serves itself by continuously monitoring and detecting misalignment conditions, freeing operators from manual checking tasks.
2Reliability
If manual alignment checking is performed, then alignment issues can be detected, but corrective action is delayed until problems are discovered
Solution Approach 1:
The system implements continuous feedback by automatically monitoring profile alignment in real-time and immediately generating alerts when misalignment exceeds thresholds. This closed-loop feedback mechanism enables prompt corrective action before quality issues escalate, improving reliability while reducing the time lag between problem detection and correction.
Solution Approach 2:
The system performs preliminary detection of alignment issues before they result in poor sheet quality. By continuously monitoring and alerting to misalignment conditions early in the process, corrective actions can be taken preventively rather than reactively, maintaining quality reliability.
3Quantity of substance
If multiple scanners are used to detect variations in sheet materials, then measurement coverage is improved, but profile alignment between scanners becomes critical and difficult to maintain
Solution Approach 1:
The patent replaces complex manual alignment procedures with automated cross-correlation analysis performed by a processor. The system automatically captures profiles from multiple scanners, computes correlation values to determine relative positions, and adjusts bin assignments without requiring manual intervention, thereby managing device complexity while maximizing measurement data quantity.
Solution Approach 2:
The system dynamically adjusts bin assignment parameters based on computed correlation values. When misalignment is detected, the system changes the bin parameters to realign profiles from different scanners, automatically adapting to maintain alignment without increasing operational complexity.
Data Source
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AI summary
Profile alignment with cross-correlation is employed to determine the alignment between two measured profiles taken at different locations along a sheet of material. Aligning two profiles in sheet manufacturing is critical so that the coating weight on the sheet can be calculated. Coat weight profile is calculated by subtracting the weight of the sheet prior to coating from the measured total weight of the coated sheet after coating. When profiles are not aligned correctly for this subtraction, the coat weight profile will be inaccurate and corrective control actions for apparent deviations in coat weight may be applied to the wrong part of the sheet and may result in poor quality. Profile misalignments are monitored by repeatedly performing cross-correlation analysis as new measurement data becomes available. Offset is tracked over time and displayed. Automatic alerts are triggered when the offset deviates from zero and/or changes in value (within certain thresholds).