Composite Cutting Line Waviness Detection
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Solution Overview
Problem
Current cutting techniques, such as plasma cutting and water jet cutting, struggle to detect uncontrolled waviness in cutting lines during the manufacturing of composite parts, leading to defective products due to the complexity and unpredictability of the waviness phenomenon, resulting in significant scrap losses and inefficiencies.
Innovation Solution
A method that involves real-time monitoring of the cutting operation by generating images of the cutting line downstream of the cutting head, analyzing these images to calculate deviations, and comparing them to predefined threshold values, allowing for immediate stopping of the cutting process if deviations exceed tolerance levels, applicable to various cutting techniques including water jet cutting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time image monitoring and analysis system is implemented, then manufacturing precision is improved by detecting waviness, but device complexity increases due to additional imaging and processing equipment
Solution Approach 1:
The patent implements a feedback control system where images of the cutting line are captured in real-time, analyzed to detect waviness, and used to control the cutting process. The system compares actual cutting line position with the programmed path and provides feedback to stop or adjust the cutting operation when deviations exceed thresholds, thereby improving manufacturing precision through continuous monitoring and correction
Solution Approach 2:
The patent replaces traditional mechanical measurement and control methods with optical imaging and digital image processing. Instead of using complex mechanical sensors and actuators to monitor and control the cutting line, the system uses cameras to capture images and software algorithms to analyze the cutting line position, substituting mechanical systems with optical and computational approaches
2Productivity
If continuous cutting operation is performed without real-time monitoring, then productivity is maintained, but manufacturing precision deteriorates due to undetected waviness leading to defective parts
Solution Approach 1:
The patent enables the cutting operation to proceed rapidly through the material without interruption for manual inspections, using automated real-time image analysis to quickly detect waviness and stop the operation only when necessary. This allows the cutting process to rush through production efficiently while maintaining quality control through automated monitoring that intervenes only when deviations exceed predefined thresholds
3Manufacturing precision
If real-time image analysis is implemented to detect waviness, then manufacturing precision is improved, but loss of time increases due to image processing and analysis operations
Solution Approach 1:
The patent performs preliminary actions by capturing multiple images at different positions along the cutting line before the cutting operation completes. The system pre-processes and analyzes these images in real-time to predict potential waviness issues before they result in defective parts, allowing early intervention and stopping the cutting operation proactively rather than reactively, thereby reducing overall time loss
Data Source
AI summary
A method and device for cutting materials for manufacturing parts according to which an image of a cutting line is made recurrently downstream from a cutting head. The images produced are analyzed in real time to calculate amplitudes of deviations in the quality of the surface profiles of the cutting line as the part is being cut and comparing the calculated amplitudes to at least one predefined threshold value. The cutting is stopped in the event of the at least one threshold value being exceeded.