Vision Inspection System for Composite Layup Anomaly Detection
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Solution Overview
Problem
Conventional machine vision systems are inadequate for identifying anomalies in composite material placement, such as debris and placement aberrations, and cannot keep pace with the high laydown rates of multi-head tape lamination machines, leading to increased fabrication time and expense.
Innovation Solution
A machine vision inspection system that includes a vision assembly with an area light, a line generator, and a sensor, which captures images and analyzes them to identify debris and placement aberrations using diffused illumination and a line of illumination, allowing for real-time inspection during composite material placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional machine vision systems are used for inspection, then some anomalies can be identified, but they cannot identify all types of anomalies and cannot keep pace with high laydown rates
Solution Approach 1:
The inspection system segments the inspection process into two distinct modes: a first inspection mode using diffused illumination for detecting debris and foreign objects, and a second inspection mode using line illumination for detecting placement aberrations such as gaps, overlaps, and wrinkles. This segmentation allows each inspection mode to be optimized for specific anomaly types, enabling comprehensive anomaly detection while maintaining high laydown rates through rapid mode switching.
Solution Approach 2:
The system dynamically switches between the first and second inspection modes based on the inspection requirements. The controller alternates between activating the area light with the sensor in the first mode and activating the line generator with the sensor in the second mode. This dynamic switching enables the system to adapt to different inspection needs in real-time, maintaining both high measurement precision for various anomaly types and high productivity by minimizing inspection time.
2Measurement precision
If manual inspection is performed to identify errors, then thorough inspection can be conducted, but fabrication time increases significantly
Solution Approach 1:
The system replaces manual mechanical inspection with an automated optical inspection system. The sensor captures images under different illumination conditions (diffused and line illumination), and the controller processes these images to automatically identify various anomalies including debris, foreign objects, gaps, overlaps, and wrinkles. This substitution eliminates the need to stop production for manual inspection, maintaining thorough inspection quality while enabling continuous operation at high laydown rates, thus significantly reducing fabrication time.
Solution Approach 2:
The inspection system operates continuously during the material placement process without requiring production to stop. The rapid switching between inspection modes and automated image processing enables continuous detection of anomalies, eliminating the downtime associated with manual inspection while maintaining comprehensive inspection thoroughness.
3Device complexity
If single illumination method is used, then inspection is simpler, but only specific anomaly types can be detected
Solution Approach 1:
The illumination system is designed with multi-functionality, incorporating both an area light for diffused illumination and a line generator for line illumination within a single inspection system. The controller selectively activates the appropriate illumination source based on the inspection mode, enabling the system to detect multiple types of anomalies (debris, foreign objects, gaps, overlaps, wrinkles) comprehensively. This universal design achieves broad anomaly detection coverage while managing device complexity through integrated control.
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
The system effectively identifies errors on placed plies, reducing the need for manual inspection and minimizing downtime, thereby enhancing fabrication efficiency and reducing costs by enabling continuous operation at high laydown rates.
Implementation Method 1
an area light, which diffusely illuminates an area of the course material
Implementation Method 2
a line generator, which creates a line of illumination across the area
Implementation Method 3
a sensor, which captures an image of the area
Data Source
AI summary
A course material that is applied to a substrate during fabrication of a composite item is inspected by a system that includes a vision assembly. The vision assembly includes an area light, a line generator, a sensor, and an image processor. The area light illuminates an area of the course material. The line generator generates a line of illumination across the area. The sensor captures an image of the area. The image processor analyzes the image. The image processor is configured to identify debris on the course material in response to the area light being activated and the image processor is configured to identify placement aberrations in response to the line generator being activated.