Literature DB >> 26859431

A novel ultrasonic NDE for shrink fit welded structures using interface waves.

Jaesun Lee1, Junpil Park2, Younho Cho3.   

Abstract

Reactor vessel inspection is a critical part of safety maintenance in a nuclear power plant. The inspection of shrink fit welded structures in a reactor nozzle can be a challenging task due to the complicated geometry. Nozzle inspection using pseudo interface waves allows us to inspect the nozzle from outside of the nuclear reactor. In this study, layered concentric pipes were manufactured with perfect shrink fit conditions using stainless steel 316. The displacement distributions were calculated with boundary conditions for a shrink fit welded structure. A multi-transducer guided wave phased array system was employed to monitor the welding quality of the nozzle end at a distance from a fixed position. The complicated geometry of a shrink fit welded structure can be overcome by using the pseudo interface waves in identifying the location and size of defects. The experimental results demonstrate the feasibility of detecting weld delamination and defects.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Nuclear power plant nozzle; Pressure vessel inspection; Pseudo interface wave; Shrink fit welded structure; Ultrasonic nondestructive evaluation

Year:  2016        PMID: 26859431     DOI: 10.1016/j.ultras.2016.01.009

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  3 in total

1.  Characterization of GMAW (Gas Metal Arc Welding) Penetration Using Ultrasonics.

Authors:  Lu Zhang; Gorkem Okudan; Alexandra-Del-Carmen Basantes-Defaz; Ryan M Gneiting; Sankaran Subramaniam; Didem Ozevin; Ernesto Indacochea
Journal:  Materials (Basel)       Date:  2020-05-17       Impact factor: 3.623

2.  The analysis of shrink-fit connection - the methods of heating and the factors influencing the distribution of residual stresses.

Authors:  Roman Król; Zbigniew Siemiątkowski
Journal:  Heliyon       Date:  2019-11-26

3.  Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave.

Authors:  Zi Zhang; Hong Pan; Xingyu Wang; Zhibin Lin
Journal:  Sensors (Basel)       Date:  2022-07-19       Impact factor: 3.847

  3 in total

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