Subsurface Microtexture Detection Using Acoustic Signal Distributions
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Solution Overview
Problem
Traditional inspection methods for determining microstructural characteristics in metal alloys, such as titanium and nickel alloys, often require destructive testing and extensive surface preparation, which can damage the components and are inefficient.
Innovation Solution
Non-destructive inspection systems and methods using acoustic or electromagnetic energy to assess microstructural characteristics, including microtexture regions, without the need for polishing, allowing for the detection of grain size, orientation, and other material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods (such as electron backscatter diffraction) are used to determine microstructural characteristics, then measurement precision is improved, but the specimen is damaged and surface preparation is required
Solution Approach 1:
The patent replaces mechanical/physical destructive inspection methods (such as electron backscatter diffraction requiring polishing) with acoustic wave-based non-destructive testing. Acoustic waves propagate through the material and interact with microstructural features like microtexture regions, allowing detection without physical contact or surface preparation that would damage the specimen.
Solution Approach 2:
The patent introduces acoustic waves as an intermediary carrier to transmit information about microstructural characteristics. The acoustic waves interact with the material's microstructure (including grain size, orientation, and microtexture regions) and carry this information through the material, enabling non-contact detection without direct mechanical intervention that would cause damage.
2Measurement precision
If traditional inspection methods are used, then measurement precision is improved, but inspection efficiency is reduced due to extensive surface preparation
Solution Approach 1:
The patent eliminates the need for preliminary surface preparation steps (such as polishing) by using acoustic waves that can penetrate and interact with microstructural features directly from the material's surface or bulk. This preliminary action of wave generation and propagation occurs immediately without requiring prior mechanical or chemical preparation.
Solution Approach 2:
The patent substitutes mechanical surface preparation processes with acoustic wave-based detection. Instead of mechanically polishing or preparing the surface to achieve the required microstructural visibility, the system uses acoustic waves to directly sense microstructural characteristics, dramatically reducing preparation time and improving inspection efficiency.
3Object-affected harmful factors
If non-destructive inspection methods are used, then specimen damage is avoided, but measurement precision may be compromised
Solution Approach 1:
The patent utilizes acoustic waves (mechanical vibrations) that propagate through the material and interact with microstructural features. The acoustic waves generate localized vibrations and stress fields that can be detected and correlated with microstructural characteristics such as grain size, orientation, and microtexture regions, achieving non-destructive measurement with maintained precision.
Solution Approach 2:
The patent replaces destructive mechanical inspection methods with acoustic wave-based non-destructive testing. The acoustic waves provide a gentle interaction mechanism that can sense microstructural features without the high-energy bombardment or mechanical contact required by traditional methods, thus avoiding damage while maintaining measurement capability.
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 the identification of microstructural characteristics without damaging the specimen, facilitating efficient evaluation of peened and machined surfaces, and guiding manufacturing processes to improve component performance by adjusting parameters based on detected microtexture regions.
Implementation Method 1
transmit acoustic waves through a volume of the specimen. The acoustic waves are scattered from the specimen
Implementation Method 2
receive the scattered acoustic waves. The controller receives signal data from the acoustic receiver array
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.