Study on Ultrasonic Phased Array Detection and CIVA Simulation of Placed Fillet Weld

Abstract Nozzle fillet welds are widely applied in large-scale industrial equipment such as power station boilers, differing significantly from butt welds in connection geometry. Influenced by welding configurations and post-service stress concentrations, these welds are prone to critical defects like cracks and lack of fusion, posing substantial safety risks to equipment operation. The unique geometry and structural complexity of nozzle fillet weld increase the challenges and procedural intricacies of conventional ultrasonic testing. While radiographic testing demonstrates higher sensitivity to volumetric defects, it risks missing planar defects (e.g, cracks, lack of fusion) with improper irradiation angles and introduces radiation hazards. Magnetic particle and penetrant testing are restricted to surface or near-surface defect detection. This study utilizes CIVA simulation software to conduct ultrasonic phased array detection simulations on nozzle fillet weld models, selecting 7.5 MHz and 5 MHz probes for comparison. Simulation results show that the 7.5 MHz probe provides high-definition imaging with distinct defect contours, minimal artifact interference, and enhanced quantitative accuracy. Although the 5 MHz probe offers deeper penetration, its inferior imaging quality and artifact interference justify the selection of the 7.5 MHz probe for experimental validation. To simulate defects in nozzle fillet welds, fabricated simulated test blocks contain lack of fusion, incomplete penetration, and root cracks. Phased array ultrasonic testing (PAUT) is performed on the simulated specimens, incorporating zoning inspection and segmented scanning strategies. Detection results indicate that PAUT can effectively identify prefabricated defects in nozzle fillet welds, with measured defect dimensions closely aligning with design specifications. This work establishes a technical foundation for advancing intelligent detection methodologies in nozzle fillet weld inspection.

Authors

Institutions

Publication Details

Published
2025-07-20
DOI
https://doi.org/10.1115/pvp2025-154557
Citations
1
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Ultrasonic Phased Array Detection and CIVA Simulation of Placed Fillet Weld

Wei Dao-xiang, Kun Li
1 citations
Engineering Applied Research
0.95
article

Study on Ultrasonic Phased Array Detection and CIVA Simulation of Placed Fillet Weld

Wei Dao-xiang, Kun Li
article en
1 citations

Abstract

Abstract Nozzle fillet welds are widely applied in large-scale industrial equipment such as power station boilers, differing significantly from butt welds in connection geometry. Influenced by welding configurations and post-service stress concentrations, these welds are prone to critical defects like cracks and lack of fusion, posing substantial safety risks to equipment operation. The unique geometry and structural complexity of nozzle fillet weld increase the challenges and procedural intricacies of conventional ultrasonic testing. While radiographic testing demonstrates higher sensitivity to volumetric defects, it risks missing planar defects (e.g, cracks, lack of fusion) with improper irradiation angles and introduces radiation hazards. Magnetic particle and penetrant testing are restricted to surface or near-surface defect detection. This study utilizes CIVA simulation software to conduct ultrasonic phased array detection simulations on nozzle fillet weld models, selecting 7.5 MHz and 5 MHz probes for comparison. Simulation results show that the 7.5 MHz probe provides high-definition imaging with distinct defect contours, minimal artifact interference, and enhanced quantitative accuracy. Although the 5 MHz probe offers deeper penetration, its inferior imaging quality and artifact interference justify the selection of the 7.5 MHz probe for experimental validation. To simulate defects in nozzle fillet welds, fabricated simulated test blocks contain lack of fusion, incomplete penetration, and root cracks. Phased array ultrasonic testing (PAUT) is performed on the simulated specimens, incorporating zoning inspection and segmented scanning strategies. Detection results indicate that PAUT can effectively identify prefabricated defects in nozzle fillet welds, with measured defect dimensions closely aligning with design specifications. This work establishes a technical foundation for advancing intelligent detection methodologies in nozzle fillet weld inspection.

Shanghai Special Equipment Supervision and Inspection Institute (CN), Shanghai Institute of Quality Inspection and Technical Research (CN)
Openalex Percentile: Top 21%
Engineering Applied Research
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.