Ultrasonic Transducer Array Inspection for Turbine Component Defects

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Solution Overview

Problem

Conventional inspection methods for turbine components are time-consuming and costly, leading to extended downtime and potential catastrophic failures due to the inability to efficiently identify defects before they cause significant issues.

Innovation Solution

The implementation of an ultrasonic inspection system using arrays of transducer elements mounted on turbine components, which transmit and capture signals to generate images of the interior volume, allowing for early detection of defects and failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional inspection methods are used to evaluate turbine components, then inspectors can obtain various information about component condition, but the evaluation process becomes time-consuming and adds to turbine downtime

Engineering Contradiction:
Improvecomponent condition evaluationVSAvoidturbine downtime
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The inspection system segments the turbine component into a three-dimensional grid of volumetric elements, allowing parallel processing of different regions. Each element can be independently evaluated, enabling simultaneous analysis of multiple component areas which significantly reduces total inspection time while maintaining comprehensive coverage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from conventional two-dimensional surface inspection to three-dimensional volumetric inspection by dividing the component into volumetric elements. This dimensional expansion allows inspectors to evaluate internal structures and defects throughout the entire component volume, providing more comprehensive information without proportionally increasing inspection time.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If conventional inspection methods are used, then component information can be gathered, but the large amount of information from relatively large components is time-consuming to process

Engineering Contradiction:
Improvecomponent information completenessVSAvoidinspection processing speed
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

By segmenting the component into discrete volumetric elements, the system organizes large amounts of inspection data into manageable, structured units. This segmentation enables efficient data processing through parallel computation of individual elements while maintaining complete component information, thereby improving processing productivity without sacrificing information completeness.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of data representation from continuous analog signals to discrete digital volumetric element data. This parameter transformation enables more efficient computer processing and storage of inspection information, allowing rapid analysis of complete component data without the time-consuming processing associated with conventional methods.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If periodic testing is performed to assess turbine component failures, then defects can be identified before catastrophic failure, but the inspection process extends turbine downtime

Engineering Contradiction:
Improvedefect detection capabilityVSAvoidturbine downtime
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by conducting comprehensive three-dimensional inspection during scheduled maintenance periods, creating a complete baseline data set of the component's internal structure. This preliminary inspection identifies potential defects early, allowing operators to monitor changes over time and plan repairs during optimal maintenance windows, thereby reducing unplanned downtime while maintaining high reliability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

By implementing three-dimensional volumetric inspection instead of conventional two-dimensional methods, the system provides more comprehensive defect detection capability that can identify internal flaws not visible on surfaces. This enhanced detection accuracy improves reliability by catching defects earlier, while the efficient parallel processing of volumetric data minimizes the time penalty associated with more thorough inspection.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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 reduces downtime and costly replacements by enabling the early identification of defects, thereby preventing major failures and associated costs.

Implementation Method 1

Each element in each array of transducer elements can be pulsed separately to transmit a signal to the turbine component. The signals can be reflected from the turbine component and captured at each transducer element.

Methodology Applied
Scientific EffectUltrasonic transmission and reflection: Ultrasound

Data Source

PatentUS10126272B2Systems and methods for ultrasonic inspection of turbine components
Publication Date: 2018.11.13 GE INFRASTRUCTURE TECH LLC
  • US10126272B2 patent drawing
  • US10126272B2 patent drawing
  • US10126272B2 patent drawing

AI summary

Embodiments of the disclosure relate to ultrasonic inspection of turbine components. In one embodiment, a method for ultrasonic inspection of a turbine component can include mounting at least one array of transducer elements to the turbine component, (a) separately pulsing a transducer element of the at least one array of transducer elements to transmit a signal to the turbine component, (b) capturing reflected signals from the turbine component at each transducer element in the at least one array of transducer elements, repeating (a) and (b) for each of the other transducer elements in the at least one array of transducer elements, maintaining a constant relative position of the array of transducer elements with respect to the turbine component, analyzing the captured reflected signals using a computer, generating an image of the interior volume of the turbine component by reconstruction of the captured reflected signals and based at least in part on detecting an anomaly in the image of the interior volume of the turbine component, identifying at least one defect or failure in the turbine component.