3D Optical Hole Inspection for Composite Panels
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Solution Overview
Problem
Current hole inspection technologies are ineffective in verifying conformance to specifications, particularly in composite material panels with multiple layers, and fail to accurately detect anomalies such as erosion, gaps, and delamination during the drilling process.
Innovation Solution
A 3D optical scanning method that generates a 3D point cloud of the hole, translates the data to facilitate analysis, and uses filtering/smoothing techniques to determine conformance to specifications, detect anomalies, and calculate erosion by converting data into 2D layers, fitting circles, and comparing diameters to specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current hole inspection technologies are used, then the inspection process is simple, but the measurement precision is insufficient to verify conformance within a few thousandths of an inch
Solution Approach 1:
The patent transitions from traditional 2D inspection methods to 3D optical scanning, capturing hole geometry in three dimensions. This dimensional upgrade enables precise measurement of hole conformance, including diameter variations, roundness, and depth, achieving accuracy within a few thousandths of an inch while providing comprehensive anomaly detection capability
Solution Approach 2:
The patent replaces mechanical contact-based inspection methods with non-contact optical scanning technology. The 3D optical scanner uses light to capture hole geometry without physical contact, eliminating mechanical wear and enabling high-precision measurement of delicate composite material holes while maintaining system simplicity through software-based analysis
2Reliability
If traditional inspection methods are used on composite material panels, then the inspection process is fast, but the ability to detect anomalies such as erosion, gaps, and delamination is insufficient
Solution Approach 1:
The patent segments the complex anomaly detection task into distinct analysis components: diameter measurement, roundness analysis, erosion detection, gap identification, and delamination recognition. Each anomaly type is detected through specific algorithms applied to the 3D point cloud data, enabling comprehensive inspection while maintaining efficiency through automated processing of multiple defect types simultaneously
Solution Approach 2:
The patent performs preliminary 3D scanning and data acquisition before detailed anomaly analysis. The complete hole geometry is captured first, creating a comprehensive digital model that enables subsequent detection of various anomalies including erosion, gaps, and delamination. This preliminary data collection ensures all potential defects are visible before applying specific detection algorithms, improving both reliability and time efficiency
3Measurement precision
If 3D optical scanning is implemented, then the measurement precision and anomaly detection improve, but the data processing complexity increases
Solution Approach 1:
The patent extracts only the essential geometric features and anomaly characteristics from the comprehensive 3D point cloud data. Rather than processing all raw data points, the system identifies and extracts key parameters such as hole diameter, roundness, and anomaly locations. This extraction approach maintains high measurement precision while reducing data processing complexity by focusing computational resources on critical features
Solution Approach 2:
The patent creates simplified 2D cross-sectional representations and graphical displays from the 3D scanned data. These visual copies present hole geometry and detected anomalies in an easily interpretable format, reducing the complexity of data analysis while preserving measurement precision. The graphical user interface displays provide intuitive visualization of hole conformance and anomalies without requiring complex data manipulation
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 method provides accurate conformance analysis and anomaly detection, ensuring that hole diameters meet specifications and identifying issues like erosion, gaps, and delamination, thereby improving the quality control in drilling composite material panels.
Implementation Method 1
scanning, by a three-dimensional (3D) optical scanning device, a hole formed in a workpiece to generate a 3D point cloud of the hole
Data Source
AI summary
A method for three-dimensional (3D) inspection of a workpiece for conformance to a specification includes scanning, by a 3D optical scanning device, a hole formed in a workpiece to generate a 3D point cloud of the hole defined in a 3-axis coordinate system of the 3D optical scanning device. The 3D point cloud includes 3D point cloud data that provides a profile of the hole. The method also includes translating the 3D point cloud data to generate translated 3D point cloud data that facilitates analysis of the 3D point cloud. The method further includes performing analysis of the hole using the translated 3D point cloud data to determine conformance of the hole with a specification and to detect anomalies associated with the hole.