In-Process Inspection Tool for AFP Composite Manufacturing
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Solution Overview
Problem
Automated fiber placement (AFP) systems face significant challenges in efficient in-process inspection due to manual inspection processes being time-consuming, prone to human error, and requiring expert knowledge, which interrupts production and increases costs, especially for large-scale composite manufacturing.
Innovation Solution
An in-process inspection tool integrated with an AFP system, featuring a profiler and support bracket that allows for real-time surface profiling of fiber strips as they are placed, providing consistent and reliable feedback on defects without interfering with the fiber placement process, utilizing industrial robots and non-destructive testing instruments like laser profilers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection is used to detect defects in fiber strips, then defect detection capability is improved, but production time is significantly increased (20-70% of total production time)
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical inspection system using a camera and image processing algorithms. The system captures images of the fiber strip during AFP and automatically detects defects such as gaps, overlaps, and misalignments, eliminating the need for manual inspection while maintaining defect detection capability.
Solution Approach 2:
The patent introduces an intermediary inspection system that acts as a mediator between the AFP process and quality assurance. The optical inspection system serves as an intermediary device that automatically analyzes fiber strip quality without requiring production interruption or manual intervention.
2Measurement precision
If manual inspection is performed by skilled operators, then inspection accuracy is improved, but operator skill dependency and training requirements increase
Solution Approach 1:
The inspection system performs self-service by automatically detecting and classifying defects using image processing algorithms. The system does not require external expert knowledge or manual interpretation, as the automated algorithms independently analyze the captured images and identify defects such as gaps, overlaps, and misalignments.
Solution Approach 2:
The patent replaces human operators with an automated optical inspection system that uses computer vision and image processing. This substitution eliminates dependency on operator skill and training while maintaining consistent inspection accuracy through algorithmic analysis.
3Ease of operation
If visual inspection is used to identify defects, then simplicity of inspection method is maintained, but defect detection difficulty increases due to low contrast between substrate and incoming tows
Solution Approach 1:
The patent replaces subjective visual inspection with objective optical imaging and automated image processing. The camera system captures high-resolution images that enhance the visibility of defects, and the image processing algorithms automatically detect contrast differences between the substrate and incoming tows, overcoming the limitations of human visual perception.
Solution Approach 2:
The patent changes the inspection parameters by using optical imaging with specific lighting conditions and image processing techniques that enhance contrast. The system adjusts imaging parameters such as lighting angle, exposure time, and image processing filters to improve defect visibility despite the inherently low contrast between substrate and tows.
4Reliability
If AFP process is interrupted for manual inspection, then quality assurance is improved, but production efficiency and automation benefits are reduced
Solution Approach 1:
The patent enables continuous inspection by integrating the optical inspection system into the AFP process. The camera captures images of the fiber strip as it is being laid, allowing quality assurance to occur continuously without interrupting the automated fiber placement process. This maintains both high automation level and quality assurance.
Solution Approach 2:
The automated optical inspection system serves as an intermediary that allows quality assurance to proceed simultaneously with the AFP process. The inspection system acts as a mediator that does not require process interruption, unlike manual inspection, thereby preserving automation benefits while ensuring quality.
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 solution significantly reduces manual inspection time, enhances production efficiency, and improves defect detection accuracy, enabling more automated and cost-effective manufacturing of complex composite parts by providing immediate feedback on defects during the AFP process.
Implementation Method 1
a profiler configured to output an in-process inspection signal representing a surface profile of a fiber strip
Data Source
AI summary
A tool for use with Automated Fiber Placement (AFP) machines and systems for use in in-process inspection of composite parts. The AFP system uses a robot, fiber guide, compaction roller, heating system, and an in-process inspection tool. The in-process inspection tool utilizes at least one profiler housed within a support bracket, which mounts the profiler on an AFP head of the AFP system such that the profiler does not interfere with the AFP layup, but outputs an in-process inspection signal representing a surface profile of a fiber strip as it is placed onto a molding for a composite part by the AFP head.