Real Time Non-Destructive Testing Methods of Welding

Author:

Kah Paul1,Mvola Belinga1,Martikainen Jukka1,Suoranta Raimo1

Affiliation:

1. Lappeenranta University of Technology

Abstract

This work presents a review of the three most efficient non-destructive testing methods. The methods are radiography, eddy current and ultrasonic inspection. These particular techniques were chosen because they are able to cover most of the industrial needs for welding joint inspection. The aim of this work is to present the physical background of operation for the given methods, discuss their benefits, limitations, and typical areas of application, and compare them with each other. In the first part of this work, all three methods and their variations are described in detail with schemes and figures which represent their working principles. It appears that, although all the given methods can detect all types of flaws in welded joints, they have their specific limitations. For example, ultrasonic testing is able to detect defects only in certain directions. The eddy current technique is also sensitive to defect direction, but it can be applied for inspecting conductive materials only. The main flaw of radiography is the resolution: it is not usable for very fine defects. The second part of the work is for comparing the testing methods and for drawing the conclusions. The methods are compared according to the possible materials, defect types and their position, as well as the possible areas of application. This part gives the background for choosing a proper welding joint testing method for certain applications in the welding industry.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference27 articles.

1. G. Wang and T. W. Liao, NDT&E International, vol. 35, No. 2, (2002), p.519–528.

2. D. Du, G. R. Cai, Y. Tian, R. S. Houand L. Wang, in: Robotic Welding, Intelligence and Automation, edited by T. -J. Tarn, S. -B. Chen, C. Zhou, volume 362, Automatic Inspection of Weld Defects with X-Ray Real-Time Imaging, part, IV , Springer Berlin, Heidelberg (2007).

3. Y. Tian, D. Du and G. Cai, Tsinghua Science and Technology, Vol. 11, No. 6, December 2006, pp.720-724.

4. Information on http: /www. ndt. net.

5. I. Einav, U. Ewert, M. F. Herelli, D. J. Marshall, N. Abd Ibrahim, and R. Shipp in: Non-destructive testing for plant life assessment, InternationalAtomic Energy Agency (IAEA), Vienna, Austria, (2005).

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning-based in-process monitoring for laser deep penetration welding: A survey;Engineering Applications of Artificial Intelligence;2024-11

2. Prediction of internal welding penetration based on IR thermal image supported by machine vision and ANN-model during automatic robot welding process;Journal of Advanced Joining Processes;2024-06

3. Application of Acoustic Emission to Detect Damage in Composites Materials;Fiber-Reinforced Composites - Recent Advances, New Perspectives and Applications [Working Title];2024-04-04

4. Calibration and validation of fatigue design models for railway car bodies considering uncertainty;Fatigue & Fracture of Engineering Materials & Structures;2023-10-06

5. Ultrasonic multi-view data merging using the vector coherence factor;NDT & E International;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3