Microwave Thermography Inspection System for Thick Object Detection
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Solution Overview
Problem
Microwave-enhanced thermography struggles with detecting sub-surface elements in thick object structures due to reduced microwave penetration and degraded resolution, leading to inaccurate detection and slower processing times.
Innovation Solution
An inspection system that uses microwave-enhanced thermography with a controller to individually tune microwave frequencies based on material and structural properties of each object portion, optimizing microwave excitation for enhanced thermal resolution and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If microwave energy levels are increased to improve detection accuracy in thick objects, then detection capability may improve, but energy efficiency deteriorates and processing time increases
Solution Approach 1:
The system dynamically adjusts microwave frequency parameters based on the thickness and material properties of the inspected object. By changing the frequency parameter rather than simply increasing energy levels, the system achieves optimal penetration and detection accuracy while maintaining energy efficiency. The controller modifies microwave parameters in real-time to match the specific inspection requirements.
Solution Approach 2:
The inspection system employs dynamic parameter adjustment where the microwave frequency and other parameters are continuously optimized during the inspection process. This dynamic adaptation allows the system to maintain high detection accuracy for varying object thicknesses without requiring excessive energy input, as parameters are tuned to match each specific inspection scenario.
2Measurement precision
If microwave energy levels are increased to improve detection accuracy in thick objects, then detection capability may improve, but processing time increases
Solution Approach 1:
By changing microwave frequency parameters rather than simply increasing energy levels, the system achieves optimal heating and detection conditions for thick objects more efficiently. The parameter optimization allows for faster thermal response and reduced processing time while maintaining detection accuracy.
Solution Approach 2:
The system uses periodic microwave pulses with optimized timing and frequency characteristics. This periodic action with carefully controlled parameters enables efficient heat generation and thermal wave propagation through thick objects, reducing the overall inspection time while maintaining detection accuracy.
3Device complexity
If uniform microwave frequency is used for the entire object, then system complexity is reduced, but detection precision deteriorates due to varying material properties
Solution Approach 1:
The system applies different microwave frequency parameters to different regions or portions of the inspected object based on their specific material properties and thickness variations. This localized parameter optimization ensures that each region receives the most appropriate microwave characteristics for accurate defect detection, improving overall detection precision without requiring excessively complex system architecture.
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 achieves accurate and energy-efficient detection of sub-surface elements in thick non-conductive structures up to one inch in thickness, improving detection accuracy and reducing energy consumption.
Implementation Method 1
a microwave source to heat the area of interest
Implementation Method 2
An infrared (IR) camera generates thermal image data of the resulting heating
Data Source
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AI summary
An inspection system includes one or more processors and an infrared (IR) camera operably coupled to the one or more processors. The one or more processors control a microwave transmitter to sequentially emit microwaves having different frequencies within a designated frequency range into an object during a first sweep. The IR camera generates thermal image data of the object after the object is heated by each of the different frequencies of microwaves. The one or more processors analyze the thermal image data and determine a selected frequency within the designated frequency range that provides greater heating of the object than one or more other frequencies in the designated frequency range. The one or more processors also analyze select thermal image data of the object, responsive to heating of the object by the selected frequency of microwaves, to detect an element in the object.