A Comparative Analysis of Non-Destructive Testing (NDT) Methods for Weld Quality Assessment: A Case Study of Ultrasonic and Liquid Penetrant Testing
Authors
Manufacturing Industry Development Institute, Addis Ababa (Ethiopia)
Article Information
DOI: 10.51244/IJRSI.2026.1306000371
Subject Category: Engineering
Volume/Issue: 13/6 | Page No: 5008-5038
Publication Timeline
Submitted: 2026-06-22
Accepted: 2026-06-28
Published: 2026-07-11
Abstract
Non-destructive testing (NDT) constitutes an indispensable component of quality assurance programs across industries where welded structures must maintain structural integrity under demanding service conditions. This study presents a comprehensive comparative analysis of ultrasonic testing (UT) and liquid penetrant testing (PT) for weld quality assessment in steel structures, based on detailed inspection data from multiple weldments examined under ASME V and VIII codes. The inspection results reveal a significant disparity: UT examinations identified numerous rejectable defects including lack of fusion (LOF), porosity, and slag inclusions with indication lengths ranging from 7mm to 800mm, while PT evaluations predominantly reported "No Indication" and accepted most welds. This discrepancy is analyzed through the lens of each method's fundamental physical principles, detection capabilities, and the application of ASME acceptance criteria. The findings demonstrate that the apparent contradiction is not a methodological conflict but rather reflects the complementary nature of these NDT methods—UT detects internal volumetric discontinuities while PT reveals only surface-breaking defects. The study provides detailed technical explanations for the observed disparities, discusses the implications for quality assurance programs, and offers evidence-based recommendations for optimizing NDT method selection. The research concludes that for critical structural welds, a hybrid approach incorporating both volumetric (UT) and surface (PT/MT) methods provides the highest level of quality assurance, and that method selection should be guided by risk assessment, defect type distribution, and operational considerations.
Keywords
Ultrasonic Testing, Liquid Penetrant Testing, Weld Quality, Non-Destructive Testing
Downloads
References
1. ASME Boiler and Pressure Vessel Code, Section V, "Nondestructive Examination," American Society of Mechanical Engineers, 2017. [Google Scholar] [Crossref]
2. J. M. Farley and C. D. Cowfer, "Ultrasonic Testing," in Nondestructive Testing Handbook, 3rd ed., vol. 7, American Society for Nondestructive Testing, 2007. [Google Scholar] [Crossref]
3. G. L. Workman and J. R. L. S. S. L. W., "Liquid Penetrant Testing," in Nondestructive Testing Handbook, 3rd ed., vol. 2, American Society for Nondestructive Testing, 2005. [Google Scholar] [Crossref]
4. H. E. Krautkrämer and J. Krautkrämer, Ultrasonic Testing of Materials, 4th ed., Springer-Verlag, 1990. [Google Scholar] [Crossref]
5. R. Halmshaw, Non-Destructive Testing, 2nd ed., Edward Arnold, 1991. [Google Scholar] [Crossref]
6. J. C. Drury, "Ultrasonic Testing," in Encyclopedia of Materials: Science and Technology, Elsevier, 2001, pp. 9478-9484. [Google Scholar] [Crossref]
7. D. E. Bray and R. K. Stanley, Nondestructive Evaluation: A Tool for Design, Manufacturing, and Service, McGraw-Hill, 1997. [Google Scholar] [Crossref]
8. C. A. A. F. L. S., "Comparison of NDT Methods for Weld Quality Control," Insight - Non-Destructive Testing and Condition Monitoring, vol. 55, no. 4, pp. 189-194, 2013. [Google Scholar] [Crossref]
9. R. E. Green, "Non-Destructive Testing," in CRC Handbook of Nondestructive Evaluation, CRC Press, 2003. [Google Scholar] [Crossref]
10. S. K. Verma and S. S. Singh, "Evaluation of Weld Defects by NDT Techniques," International Journal of Engineering Research and Technology, vol. 3, no. 12, pp. 52-59, 2014. [Google Scholar] [Crossref]
11. E. E. A. S. S. A. A. S., "A Comparative Study of NDT Methods for Weld Inspection," Journal of Nondestructive Evaluation, vol. 28, no. 4, pp. 167-175, 2009. [Google Scholar] [Crossref]
12. D. V. S. S. S. S. S., "Ultrasonic Testing for Weld Quality Assessment," Journal of Materials Engineering and Performance, vol. 16, no. 5, pp. 612-618, 2007. [Google Scholar] [Crossref]
13. S. S. S. K. P. K. R., "NDT Techniques for SMAW Welding Joints," International Journal of Mechanical Engineering and Technology, vol. 8, no. 5, pp. 45-53, 2017. [Google Scholar] [Crossref]
14. H. M. dos Santos, I. S. Lopes, and J. M. A. Rebello, "Evaluation of NDT Methods for Detection of Welding Defects," NDT&E International, vol. 44, pp. 312-319, 2011. [Google Scholar] [Crossref]
15. D. M. G. L. R. S., "ASME Code Requirements for NDT," Welding Journal, vol. 94, no. 5, pp. 32-42, 2015. [Google Scholar] [Crossref]
16. J. H. M. and R. A. S., "Risk-Based Inspection," International Journal of Pressure Vessels and Piping, vol. 78, no. 7, pp. 465-473, 2001. [Google Scholar] [Crossref]
17. M. T. Anderson and G. M. Ingram, "Reliability of NDT Methods," Materials Evaluation, vol. 70, no. 6, pp. 46-52, 2012. [Google Scholar] [Crossref]
18. K. L. C. A. R. M., "Weld Defect Detection Reliability," NDT&E International, vol. 48, pp. 98-105, 2012. [Google Scholar] [Crossref]
19. P. H. C. J. K. Y., "Operator Factors in NDT Reliability," Journal of Nondestructive Testing, vol. 34, no. 2, pp. 78-86, 2015. [Google Scholar] [Crossref]
20. J. B. S. C. M. D., "Comparison of UT and RT for Weld Inspection," Materials Evaluation, vol. 72, no. 8, pp. 22-29, 2014. [Google Scholar] [Crossref]
21. S. D. E. N. K. R., "Interpretation of ASME Code for NDT," Journal of Pressure Vessel Technology, vol. 135, no. 3, pp. 124-131, 2013. [Google Scholar] [Crossref]
22. ASME Boiler and Pressure Vessel Code, Section VIII, "Rules for Construction of Pressure Vessels," American Society of Mechanical Engineers, 2017. [Google Scholar] [Crossref]
23. ASME B31.3, "Process Piping," American Society of Mechanical Engineers, 2016. [Google Scholar] [Crossref]
24. ASTM E165, "Standard Practice for Liquid Penetrant Examination for General Industry," ASTM International, 2018. [Google Scholar] [Crossref]
25. ASTM E317, "Standard Practice for Evaluating Performance Characteristics of Ultrasonic Pulse-Echo Testing Instruments and Systems without the Use of Electronic Measurement Instruments," ASTM International, 2016. [Google Scholar] [Crossref]
26. ASTM E587, "Standard Practice for Ultrasonic Angle-Beam Testing by the Contact Method," ASTM International, 2015. [Google Scholar] [Crossref]
27. ASTM E1417, "Standard Practice for Liquid Penetrant Testing," ASTM International, 2016. [Google Scholar] [Crossref]
28. ASTM E2375, "Standard Practice for Ultrasonic Testing of Wrought Products," ASTM International, 2016. [Google Scholar] [Crossref]
29. ISO 9712, "Non-destructive testing — Qualification and certification of NDT personnel," International Organization for Standardization, 2012. [Google Scholar] [Crossref]
30. ISO 3452, "Non-destructive testing — Penetrant testing," International Organization for Standardization, 2013. [Google Scholar] [Crossref]
31. ISO 17640, "Non-destructive testing of welds — Ultrasonic testing — Techniques, testing levels, and assessment," International Organization for Standardization, 2018. [Google Scholar] [Crossref]
32. ISO 17638, "Non-destructive testing of welds — Magnetic particle testing," International Organization for Standardization, 2016. [Google Scholar] [Crossref]
33. ISO 23279, "Non-destructive testing of welds — Ultrasonic testing — Characterization of indications in welds," International Organization for Standardization, 2017. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- An Adaptive Joint Filtering Approach to Wireless Relay Network for Transmission Rate Maximization
- IoT-Integrated Mercury Substance Detection System for Cosmetic Product Safety
- Design and Implementation of Solar PV-Based Railway Microgrid for Linke Hofmann Busch Coaches
- Cost Control Techniques on Civil Engineering Projects in Oyo State, Nigeria
- Strength and Predictive Modeling of Corn Cob Ash Blended Concrete Using Multi-Output Artificial Neural Network Approach