Automated Fiber Placement Tow Cut Verification
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Solution Overview
Problem
Existing automated fiber placement machines lack effective real-time monitoring of cutting knife operation, making it difficult to determine whether inconsistencies in tow placement are related to cutter knife malfunctions, which can lead to missing or misplaced tows during the manufacturing process.
Innovation Solution
A system that continuously monitors the operation of cutting knives by recording time-related data and images of tow placement, correlating the data with visual indicators to identify and classify inconsistencies, allowing for immediate reporting of malfunctions and modification of the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated fiber placement machines operate without real-time monitoring of cutting knives, then the manufacturing process can continue uninterrupted, but inconsistencies in tow placement cannot be quickly identified or addressed
Solution Approach 1:
The system implements real-time feedback by capturing images of the tow band after cutting and comparing the actual cut positions with the commanded cut positions. This feedback loop enables immediate detection of cutter malfunctions and tow placement inconsistencies, allowing for timely intervention while maintaining continuous production.
Solution Approach 2:
The patent replaces manual inspection methods with an automated optical inspection system using cameras and image processing algorithms. This substitution enables continuous, objective monitoring of tow placement quality without interrupting the mechanical cutting and laying processes.
2Difficulty of detecting and measuring
If real-time monitoring and image recording systems are implemented to detect tow placement inconsistencies, then cutter knife malfunctions can be quickly identified, but the system complexity and cost increase
Solution Approach 1:
The system introduces an intermediary optical measurement system (cameras and image processing) that bridges the gap between the mechanical cutting process and the quality assessment. This intermediary enables indirect but accurate measurement of tow placement quality without directly interfering with the cutting mechanism.
Solution Approach 2:
The patent creates visual copies (images) of the actual tow placement and cut positions, which can then be analyzed and compared with the commanded positions. This copying approach simplifies the detection process by transforming physical measurement into image processing and pattern recognition.
3Productivity
If the number of cutting knives is increased to handle wider tow bands, then more tows can be placed simultaneously, but the complexity of monitoring and ensuring each knife operates properly increases
Solution Approach 1:
The monitoring system serves multiple functions simultaneously: it captures images for quality inspection, measures actual cut positions, detects missing or misplaced tows, and validates cutter operation. This multi-functional approach enables comprehensive monitoring of multiple knives without proportionally increasing system complexity.
Data Source
AI summary
The operation of tow cutters in an automatic fiber placement machine are monitored to determine if inconsistencies in fiber placement are related to cutter operation. A machine vision system detects inconsistencies in tow placement, and timing signals are generated that represent the actuation of the cutters. The timing signals are correlated with recorded images of the placed tows to determine if the inconsistency in tow placement is related to cutter operation.