Robotic NDI Inspection for Subsurface Damage in Large Structures
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Solution Overview
Problem
Large structures, such as wind turbine blades, are difficult to inspect due to their size and thickness, with existing methods limited to surface inspections that fail to detect subsurface damage, and there is a need for automated systems that can perform comprehensive, rapid, and accurate inspections.
Innovation Solution
An inspection system comprising a robot with multiple Nondestructive Testing (NDI) modalities, including ultrasonic testing, cameras, and a control system that navigates and analyzes data to detect defects and perform repairs, using data fusion for real-time damage identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used, then inspection cost and time are reduced, but subsurface damage cannot be detected
Solution Approach 1:
The inspection system segments the inspection process into multiple stages: preliminary visual inspection to identify potential defect locations, followed by targeted advanced NDI inspection only at those specific locations. This segmentation allows the system to maintain high damage detection capability while avoiding the prohibitive cost and complexity of comprehensive advanced NDI of entire structures.
Solution Approach 2:
The portable NDI system is designed with multiple inspection modalities (ultrasonic, thermal, electromagnetic) that can be selectively activated based on the inspection needs. This multi-functionality allows a single system to perform various types of subsurface inspection, reducing the need for multiple specialized systems and thereby reducing overall device complexity while maintaining comprehensive damage detection capability.
2Measurement precision
If advanced NDI methods are deployed, then subsurface damage can be detected, but inspection cost and time increase significantly
Solution Approach 1:
The system performs preliminary visual inspection and data analysis before deploying advanced NDI methods. By pre-identifying potential defect locations through simpler means, the system prepares targeted inspection plans that minimize the time required for advanced NDI, as inspectors only need to examine specific high-risk areas rather than entire structures.
Solution Approach 2:
The system applies advanced NDI methods selectively only to areas where damage is suspected, rather than performing comprehensive inspection of entire structures. This partial action approach achieves sufficient subsurface damage detection at reduced time and cost, while the automated data analysis ensures that no critical damage is missed in the uninspected areas.
3Productivity
If manual inspection by technicians is performed, then flexible inspection can be achieved, but inspection speed and consistency are limited
Solution Approach 1:
The system incorporates automated data collection, analysis, and interpretation capabilities that reduce reliance on highly skilled technicians. The automated algorithms independently process inspection data, identify defects, and generate reports, thereby increasing inspection speed and consistency while reducing the need for extensive technician expertise. This self-service capability maintains ease of operation by simplifying the technician's role to oversight and verification.
4Reliability
If comprehensive inspection of entire structures is performed, then all damage can be detected, but cost and time become prohibitive
Solution Approach 1:
The system focuses inspection resources on specific local areas where damage is most likely to occur, based on preliminary analysis of visual inspection data, operational history, and structural characteristics. By concentrating inspection efforts on high-probability defect zones rather than uniformly inspecting entire structures, the system achieves high damage detection reliability while minimizing the consumption of inspection resources such as time, equipment usage, and personnel hours.
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
Enables accurate and timely detection of subsurface damage, reducing downtime and extending the life of structures by allowing for early repairs and preventing catastrophic failures.
Implementation Method 1
an ultrasonic testing (UT) module for inspecting the structure
Data Source
AI summary
An automated, inspection system that includes a robot with a closed loop control system that includes multiple Nondestructive Testing (NDI) modalities for complete through-thickness inspection of structures (e.g., wind turbine blades, aircraft, pressure vessels, pipelines, ships). The robot can be programmed either by a user or another inspection system to automatically move to a user-specified location, or a series of locations to complete a scan inspection of the area. The inspection region (size) is also automated via a user-specified input, other inspection system, or through other pre-programmed coverage patterns. Closed-loop control software allows the robot to automatically return to the location of any damaged region, identified during the inspection, so that the location can be marked and appropriate maintenance actions can be taken.