Ultrasonics NDE I
Tracks
BREAKOUT A - CORAL I
Audience - General Interest
Industry: Energy: Petroleum, Renewable, Power Generation
Industry: Infrastructure: Construction, Amusements, Maintenance
Industry: NDT Services: Services, Inspection
Industry: Transportation: Automotive, Rail, Marine
| Thursday, May 14, 2026 |
| 8:00 AM - 9:00 AM |
| Coral I |
Speaker
Carlos Quiterio Gómez Muñoz
University Professor
Universidad Autonoma De Madrid
Innovative Source Localization in Composite Pressure Vessels Using a Lightweight Neural Network Based on Acoustic Emission Featuresa
8:40 AM - 9:00 AMBiography
Carlos Quiterio Gómez Muñoz is an Industrial Engineer and researcher specializing in the development of technological solutions for infrastructure maintenance. He earned his PhD from the University of Castilla-La Mancha in 2016 and is currently a faculty member at the Universidad Autónoma de Madrid (UAM). An author of over 80 publications and a Fulbright Scholar at Florida Polytechnic University, his research lies at the intersection of sensor technology and Artificial Intelligence. His work focuses on structural health monitoring and the automated inspection of materials, with current projects aimed at advancing non-destructive testing for sustainable infrastructure and hydrogen storage technologies.
Liuyu Chang
Phd Student
University of Bristol
Random Walk Modelling of Hydrogen-induced Defects for Ultrasonic Response Analysis
Abstract
As hydrogen becomes central to global clean energy strategies, ensuring the safety of storage containers and pipelines is essential. Hydrogen-induced defects (HID)—including embrittlement, blistering, hydrogen-induced cracking (HIC), and high-temperature hydrogen attack (HTHA)—often exhibit irregular, branched geometries that challenge both modelling and ultrasonic detection. In this work, a random-walk method is used to accurately model HID geometries by incorporating statistical features extracted from several realistic HIDs. The simulated crack profiles are implemented in finite element models to evaluate their acoustic backscattering behaviour and generate full matrix capture datasets. Ultrasound images reconstructed using the total focusing method (TFM) show a strong correlation between image amplitude, spatial spread, and the underlying statistical parameters. This work provides a link between measurable defect morphology and ultrasonic image response, supporting more reliable monitoring of HID in hydrogen pipelines and containers.
Biography
Liuyu Chang is a PhD student at the University of Bristol working on ultrasonic non-destructive testing for hydrogen pipelines and containers.
Koji Goto
Engineer
Mitsubishi Heavy Industries Ltd
Development of the Thin-film UT Sensor capable of continuous thickness monitoring at 450°C
Abstract
This presentation reports on the development of an ultra-high temperature thin-film ultrasonic thickness (UT) sensor capable of continuous monitoring at temperatures up to 450°C. The sensor, developed by Mitsubishi Heavy Industries, builds upon existing thin-film UT sensor technology for environments below 200°C and addresses the growing need for thickness monitoring in higher temperature ranges. The newly developed BIT thin-film UT sensor demonstrates stable operation under continuous high-temperature exposure, confirmed through thermal cycle and extended heating tests. Additionally, temperature-dependent sound velocity correction techniques were established to enable accurate thickness evaluation at elevated temperatures. This technology enables reliable continuous thickness monitoring of piping and vessels in harsh high-temperature industrial environments, particularly in nuclear power plants , contributing to improved plant maintenance, operational safety, and cost reduction.
Biography
Engaged in in-service inspection work at nuclear-related plants in Japan. Previously involved in quality control of factory-manufactured products. Currently contributing to the development of various non-destructive testing (NDT) technologies, including ultrasonic testing (UT). Focused on advancing inspection methods to enhance safety and reliability in nuclear plant operations.