Infrared Spectroscopy for Composite Moisture Content
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Solution Overview
Problem
Existing methods lack accuracy and portability for determining moisture content in composite materials, which can compromise the integrity of composite bonded repairs in industries like aerospace.
Innovation Solution
A method using near-infrared and mid-infrared spectroscopy for calibrating and predicting moisture content in composite materials, involving preprocessing of IR spectra and multivariate calibration with controlled moisture standards, enabling field-portable and user-friendly measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine moisture content in composite materials, then measurement accuracy may be achieved, but device portability and ease of operation deteriorate
Solution Approach 1:
The patent replaces traditional mechanical or laboratory-based moisture measurement methods with optical spectroscopy. By using near-infrared and mid-infrared spectroscopy, the system eliminates the need for complex laboratory equipment while maintaining measurement accuracy. The optical methods enable field-portable measurements through simplified handheld devices or integrated sensors that can operate in various environmental conditions without requiring controlled laboratory settings.
Solution Approach 2:
The patent utilizes changes in optical parameters (absorbance, reflectance, transmittance) of infrared radiation to determine moisture content. By measuring the absorption characteristics of water molecules in the infrared spectrum, the system converts physical moisture presence into detectable optical signals. This parameter transformation enables non-contact, non-destructive measurement that can be performed with portable equipment while maintaining high accuracy through multivariate calibration models.
2Reliability
If comprehensive calibration procedures are implemented, then measurement reliability improves, but device complexity and calibration time increase
Solution Approach 1:
The patent performs calibration measurements and model development during the manufacturing or initial setup phase, creating reference datasets that capture the relationship between optical spectra and moisture content for specific composite material types. By establishing calibration models in advance with controlled standards, the system enables rapid, reliable measurements during actual field operations without requiring complex calibration procedures at the time of measurement. The calibration data is stored and applied automatically during operation.
Solution Approach 2:
The patent creates virtual copies of physical calibration standards through spectral data processing. Instead of requiring physical reference materials for every measurement, the system uses processed spectral information and multivariate calibration models to replicate the calibration relationship. This digital copying approach maintains measurement reliability while significantly reducing the physical complexity of the calibration system and eliminating the need for constant physical standard materials during field operations.
3Measurement precision
If multiple infrared spectroscopy techniques are combined, then measurement accuracy improves, but energy consumption and measurement time increase
Solution Approach 1:
The patent divides the infrared spectrum into distinct regions (near-infrared and mid-infrared) and applies specialized measurement techniques to each region based on the specific measurement requirements. By segmenting the spectral analysis, the system can selectively measure only the necessary portions of the spectrum for accurate moisture detection, rather than requiring comprehensive coverage of the entire infrared range. This segmentation enables optimized energy usage and reduced measurement time while maintaining high accuracy through targeted spectral analysis.
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 approach provides accurate and reliable assessment of moisture content and bond strength properties in composite materials, enhancing the reliability of composite bonded repairs and maintenance processes.
Implementation Method 1
obtaining a calibration between moisture content of the composite material sample and a spectrum of infrared energy reflected from the composite material sample
Implementation Method 2
measuring the moisture content of resin-word composites using near-infrared spectroscopy
Data Source
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AI summary
A method of determining moisture content of a composite material includes providing composite material standards with known moisture content, collecting infrared spectra on the composite material standards, calibrating the infrared spectra to the moisture content, providing a composite material and predicting moisture content of the composite material based on the infrared spectra and the composite material standards.