Results 1 to 10 of about 2,933 (184)

Simulation-Based Investigation of a Probability of Detection (POD) Model Using Phased Array Ultrasonic Testing (PAUT) Technique [PDF]

open access: yesJournal of Nondestructive Evaluation, 2022
AbstractProbability of detection (POD) as a metric for quantifying the capability of inspection procedures in nondestructive evaluation (NDE), has been applied and evolved in industries since 1970s. Progress had been noted when certain statistical functions were brought up to model POD behavior, including log-normal model (also referred as Probit model)
Xiangyu Lei   +2 more
core   +6 more sources

Inspection of wind turbine bolted connections using the ultrasonic phased array system [PDF]

open access: yesHeliyon
This study explores the inspection of bolted connections in wind turbines, specifically focusing on the application of Phased Array Ultrasonic Testing (PAUT).
Brandon Mills   +7 more
doaj   +5 more sources

Phased Array Ultrasonic Method for Robotic Preload Measurement in Offshore Wind Turbine Bolted Connections [PDF]

open access: yesSensors
This paper presents a novel approach for preload measurement of bolted connections, specifically tailored for offshore wind applications. The proposed method combines robotics, Phased Array Ultrasonic Testing (PAUT), nonlinear acoustoelasticity, and ...
Yashar Javadi   +10 more
doaj   +3 more sources

Detection of Rail Defects Using Phased Array Ultrasonic Technique [PDF]

open access: yesE3S Web of Conferences
The Phased Array Ultrasonic Technique (PAUT) is an advanced non-destructive inspection method that utilizes an array of ultrasonic testing (UT) probes consisting of several small elements.
Phrommahakul Nichapa   +4 more
doaj   +4 more sources

Enhanced Near-Surface Flaw Detection in Additively Manufactured Metal Ti-5Al-5V-5Mo-3Cr Using the Total Focusing Method [PDF]

open access: yesSensors
Additive manufacturing (AM) enables the fabrication of complex components with high geometric freedom, but it can introduce near-surface flaws due to rapid solidification, resulting in porosity and lack of fusion. In addition, localized melting and steep
Kate van Herpt   +4 more
doaj   +2 more sources

Analysis of Flaw Detection Sensitivity of Phased Array Ultrasonics in Austenitic Steel Welds According to Inspection Conditions [PDF]

open access: yesSensors, 2021
The anisotropy and inhomogeneity exhibited by austenitic steel in welds poses a challenge to nondestructive testing employing ultrasonic waves, which is predominantly utilized for the inspection of welds in power plants.
YoungLae Kim, Sungjong Cho, Ik Keun Park
doaj   +2 more sources

Multi-Mode Total Focusing Method (MTFM) to Detect High-Temperature Hydrogen Attack (HTHA) – A Review [PDF]

open access: yesJournal of Materials Exploration and Findings, 2023
High temperature hydrogen attack (HTHA) is a commonly observed harm component in carbon steels exposed to high temperature and pressure in a hydrogen-rich environment. Hydrogen together with carbon responds to produce methane.
Anjar Oktikawati   +2 more
doaj   +3 more sources

In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding [PDF]

open access: yesMaterials & Design, 2020
In multi-pass welding, there is increasing motivation to move towards in-process defect detection to enable real-time repair; thus avoiding deposition of more layers over a defective weld pass.
Yashar Javadi   +11 more
doaj   +6 more sources

Study of Residual Stress Using Phased Array Ultrasonics in Ti-6AL-4V Wire-Arc Additively Manufactured Components. [PDF]

open access: yesSensors (Basel)
This paper presents a study on residual stress measurement in wire-arc additively manufactured (WAAM) titanium samples using the non-destructive method of phased array ultrasonics. The contour method (CM) was used for the verification of the phased array
Walker J   +9 more
europepmc   +3 more sources

Deep Learning-Based Approach for Automatic Defect Detection in Complex Structures Using PAUT Data [PDF]

open access: yesSensors
This paper presents a comprehensive study on automated defect detection in complex structures using phased array ultrasonic testing data, focusing on both traditional signal processing and advanced deep learning methods.
Kseniia Barshok   +2 more
doaj   +2 more sources

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