Creping Blade Vibration Tracking for Chatter Prevention
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Solution Overview
Problem
The creping process in tissue manufacturing is hindered by excessive vibration of the creping doctor blade, leading to chatter conditions that result in product defects, machine downtime, and costly repairs to the Yankee dryer.
Innovation Solution
A method is introduced to track and analyze data from sensors monitoring the creping process, specifically measuring vibration data, assigning scores based on comparisons to previous data, and generating an index score to predict blade wear and prevent chatter conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the creping doctor blade operates continuously without maintenance, then productivity is maintained, but the blade wears out leading to chatter conditions and product defects
Solution Approach 1:
The system performs preliminary detection of blade wear conditions through vibration monitoring before actual chatter defects occur in the product. By analyzing vibration signals and comparing them against baseline data, the system predicts blade degradation and schedules maintenance proactively, preventing the blade from reaching a state that would cause product defects while maintaining continuous production.
Solution Approach 2:
The system implements continuous feedback monitoring of blade vibration during operation. Vibration sensors provide real-time data that is processed and compared against acceptable ranges, allowing the system to detect degradation trends and alert operators before blade wear leads to chatter conditions, thus maintaining both productivity and reliability.
2Manufacturing precision
If the creping doctor blade is replaced frequently to prevent chatter, then product quality is maintained, but machine downtime increases
Solution Approach 1:
The system performs preliminary assessment of blade condition through vibration analysis, identifying the optimal replacement timing based on actual wear progression rather than fixed schedules. This allows blades to be replaced just before they would cause quality issues, maximizing their useful life and minimizing unnecessary downtime for blade changes.
Solution Approach 2:
The blade wears naturally during service and the system monitors this self-generated degradation signal through vibration sensing. The blade essentially informs the system of its own condition through its vibration characteristics, eliminating the need for separate inspection processes and enabling precise timing of replacements only when necessary.
3Measurement precision
If vibration monitoring sensitivity is increased to detect early blade wear, then maintenance timing is improved, but false alarms from normal operational variations increase
Solution Approach 1:
The system introduces baseline vibration data as an intermediary reference that represents normal operational characteristics. Current vibration measurements are compared against this baseline, and only deviations beyond a threshold are flagged as potential wear indicators. This intermediary comparison layer filters out normal operational variations while maintaining sensitivity to actual blade degradation.
Solution Approach 2:
The system transforms complex vibration signal data into simplified wear indicators by changing the parameter representation. Instead of analyzing raw multi-dimensional vibration data, the system converts it into scalar wear scores or indices that represent blade condition in a single value, reducing data complexity while preserving wear detection capability.
4Reliability
If the Yankee dryer surface is regrinded to repair damage, then dryer surface integrity is restored, but production loss and cost increase
Solution Approach 1:
The system applies preliminary protective action by detecting blade wear conditions that could lead to dryer surface damage and alerting operators before the damage occurs. By preventing blade-induced chatter and penetration events through early wear detection, the system avoids the need for costly regrinding operations and associated production losses, maintaining dryer surface integrity through prevention rather than repair.
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 reduces the complexity of creping data, facilitates timely maintenance, and enhances the quality and efficiency of the creping process by preventing defects and extending the service life of machine components.
Implementation Method 1
measuring vibration of a creping blade using one or more vibration sensors
Data Source
AI summary
The disclosure is directed to techniques for tracking data associated with a creping process. The techniques include measuring process data, wherein the process data includes vibration data, and wherein measuring process data includes measuring vibration data of a creping blade using one or more vibration sensors. The techniques further include assigning a score for the process data, including assigning a vibration score for the vibration data. The techniques also include generating an index score based on the score for the process data and the vibration score for the vibration data.