Acoustic Microtexture Detection in Titanium Specimens
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Solution Overview
Problem
Existing technologies fail to efficiently detect microstructural defects in a non-destructive manner, particularly in the field of materials like titanium alloys, which are used in the aviation industry, and existing methods are not capable of detecting these defects in a non-destructive manner.
Innovation Solution
A system and method for detecting microstructural characteristics in a non-destructive manner, particularly in the field of materials like titanium alloys, which are used in the field of materials like titanium alloys, which are used in the aviation industry, and existing methods are not capable of detecting these defects in a non-destructive manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods are used to detect microstructural defects, then detection capability is improved, but the inspection process becomes destructive and damages the material
Solution Approach 1:
The patent replaces traditional mechanical inspection methods (such as destructive testing or mechanical sectioning) with acoustic wave-based non-destructive evaluation. Acoustic waves interact with the material's microstructure to provide detection capability without physical contact or damage to the specimen.
Solution Approach 2:
The patent introduces acoustic waves as an intermediary medium to detect microstructural characteristics. The acoustic waves serve as a carrier that interacts with the material's microtexture regions, grain structure, and defects, allowing information extraction without direct mechanical intervention that would damage the material.
2Object-affected harmful factors
If non-destructive inspection methods are applied, then material integrity is preserved, but detection precision for microstructural defects is insufficient
Solution Approach 1:
The patent utilizes acoustic vibrations and wave propagation through the material to detect microstructural characteristics. By analyzing the interaction of acoustic waves with the material's microstructure (including scattering, reflection, and attenuation), the system achieves high detection precision for microtexture regions, grain size, and defects while maintaining non-destructive inspection.
Solution Approach 2:
The patent employs periodic acoustic wave excitation and signal analysis to characterize microstructural properties. Through periodic vibration and systematic variation of acoustic parameters, the system extracts detailed information about microtexture regions and grain structure, achieving precise detection without damaging the material.
3Object-affected harmful factors
If acoustic waves are transmitted through the specimen to detect microtexture regions, then non-destructive detection is achieved, but signal attenuation and scattering reduce detection accuracy
Solution Approach 1:
The patent implements feedback mechanisms through signal processing and analysis of acoustic wave interactions with the material. By systematically analyzing the scattered and attenuated signals and comparing them against reference data or theoretical models, the system compensates for signal degradation and maintains high detection accuracy despite attenuation and scattering effects.
Solution Approach 2:
The patent varies acoustic wave parameters (such as frequency, amplitude, and propagation mode) to optimize penetration depth and resolution. By changing these parameters adaptively, the system can penetrate deeper into the material while maintaining sufficient signal strength and resolution to detect microstructural characteristics accurately, compensating for attenuation effects.
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 and method efficiently detect microstructural defects in materials like titanium alloys without damaging the material, allowing for non-destructive inspection and enabling the detection of microtexture regions, grain size, orientation, and other characteristics, thereby improving the performance of components.
Implementation Method 1
The acoustic transducer is configured to transmit acoustic waves through a volume of the specimen
Implementation Method 2
The acoustic transducer is configured to receive scattered or reflected acoustic waves from the specimen
Implementation Method 3
The acoustic transducer is configured to receive scattered or reflected acoustic waves from the specimen
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
Provided herein are inspection systems and methods for detecting MTR present within a subsurface volume of a specimen (102). The approaches use acoustic transducers (106) and, optionally, near-surface sensors (134) to introduce inspecting energy into the specimen (102). Signal data (120) representative of the inspecting energy is analyzed to detect MTRs. In some approaches, a shift in a frequency distribution of the signal data (130) is determined. In other approaches, a distribution of values for a given characteristic of the signal data (130), such as amplitude or frequency, is computed and a quantified description of the distribution is computed. Response scores and/or intensity maps can be generated for the specimen (102) based on the analysis of the signal data (130). MTR scores indicative of MTR in the specimen (102) can be correlated to the response score and/or intensity map (2724, 2728). The specimen (102) can then be dispositioned based on the response scores and/or intensity map (2724, 2728) and their correlation with the MTR scores.