Subsurface Microtexture Region Detection by Acoustic Frequency Shift
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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 and electromagnetic energy to assess microstructural characteristics, including microtexture regions, without the need for polished surfaces, allowing for the detection of grain size, orientation, and material properties, and enabling classification based on response scores.
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 components are damaged and surface preparation is required
Solution Approach 1:
The patent replaces mechanical/physical destructive inspection methods (such as electron backscatter diffraction requiring polished surfaces) with acoustic wave-based non-destructive testing. Acoustic waves interact with the microstructure to provide information about grain size, orientation, and microtexture regions without physically damaging the component or requiring surface preparation.
Solution Approach 2:
The patent introduces acoustic waves as an intermediary medium to indirectly detect microstructural characteristics. Instead of directly physically analyzing the microstructure (which causes damage), the acoustic waves serve as a mediator that carries information about the microstructure through their interaction with grains and microtexture regions, enabling non-destructive measurement.
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 replaces time-consuming mechanical surface preparation processes with rapid acoustic wave-based inspection. The acoustic method requires no polishing or surface treatment, allowing direct inspection of the component surface and significantly reducing inspection time while maintaining measurement precision.
Solution Approach 2:
The patent eliminates the need for preliminary surface preparation actions (polishing, cleaning, etc.) before inspection. By using acoustic waves that can penetrate and interact with the microstructure directly from the as-manufactured surface, the inspection can be performed immediately without prior preparation steps.
3Object-affected harmful factors
If acoustic waves are used to transmit energy through the specimen, then non-destructive inspection is achieved, but detection of microtexture regions becomes more difficult
Solution Approach 1:
The patent utilizes acoustic waves (mechanical vibrations) that propagate through the specimen and interact with microtexture regions. The acoustic waves generate signals that are sensitive to variations in microstructure, allowing detection of microtexture regions through analysis of the reflected or transmitted wave characteristics.
Solution Approach 2:
The patent employs signal processing techniques that analyze the acoustic wave responses and provide feedback information about microtexture regions. By processing the acoustic signals and comparing them against reference data or using iterative analysis methods, the system successfully detects and characterizes microtexture regions despite the non-destructive nature of the inspection.
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 detection of microstructural characteristics without damaging the components, facilitating decision-making on component disposition and adjusting manufacturing processes to improve performance.
Implementation Method 1
transmit acoustic waves through a volume of the specimen
Implementation Method 2
transmit electromagnetic energy to the specimen
Data Source
AI summary
Provided herein are inspection systems and methods for detecting MTR present within a subsurface volume of a specimen. The approaches use acoustic transducers and, optionally, near-surface sensors to introduce inspecting energy into the specimen. Signal data representative of the inspecting energy is analyzed to detect MTRs. In some approaches, a shift in a frequency distribution of the signal data is determined. In other approaches, a distribution of values for a given characteristic of the signal data, 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 based on the analysis of the signal data. MTR scores indicative of MTR in the specimen can be correlated to the response score and/or intensity map. The specimen can then be dispositioned based on the response scores and/or intensity map and their correlation with the MTR scores.