Probability of detection simulations to study the influence of surface roughness on the reliability of ultrasonic testing system
Source abstract
Abstract
The influence of the material’s surface roughness on ultrasonic echo signals has been well studied and documented in the literature. However, these studies were mostly based on the monitoring of absolute value of the echo amplitude, which cannot quantify a defect’s detectability. In this work, the influence of the surface roughness on the Probability of Detection (POD) of a defect is studied using POD simulations to provide quantitative and insightful analysis. Furthermore, POD simulations are used to quantify the influence of surface roughness on the parameters of ultrasonic testing procedure. A steel block having non-metallic inclusions type of defects was inspected by simulations using CIVA software. The inspection used the ultrasonic immersion pulse-echo setup with straight beam and angle beam techniques. Comprehensive POD curves are obtained, discussed and analyzed.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques · Structural Health Monitoring Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
Show source-provided references
1. Lina Tidström, Estimation of probabilities of detection for cracks in pipes in Swedish nuclear Power plants, U.U.D.M. Project Report 2004: 2, Department of Mathematics, Uppsala University, Sweden, 2004.
2. Christina Müller, et al., POD (Probability of Detection) evaluation of NDT techniques for Cu-canisters for risk assessment of nuclear waste encapsulation, ECNDT, Berlin, 2006.
3. Carvalho, A.A., et al., Reliability of the manual and automatic technique in the detection of pipe weld defect, Insight, 2006, vol. 48, no. 11, pp. 1–6.10.1784/insi.2006.48.11.649 ↗
4. Raymond, B. and Mabuza, Numerical analysis of probability of detecting defects in engineering materials, 18th World Conference on Nondestructive Testing, 2012, Durban, South Africa.
5. Jochen, H., Kurz, et al., Probability of detection (POD) determination using ultrasound phased array for considering NDT in probabilistic damage assessments, 18th World Conference on Nondestructive Testing, 2012, Durban, South Africa.
6. Haapalainen, J. and Leskela, E., Probability of detection simulations for ultrasonic pulse-echo testing, 18th World Conference on Nondestructive Testing, 2012, Durban, South Africa.
7. Persson, G., Wirdelius, H., and Hammersberg, P., Synthetic non-parametric POD for large defects, 18th World Conference on Nondestructive Testing, 2012, Durban, South Africa.
8. Maleo, N., Improved reliability inspection of aeronautic structure through simulation supported POD, 4th International Symposium on NDT in Aerospace, 2012, Augsburg, Germany.
9. European Network for Inspection Qualification, ENIQ recommended practice 2: Strategy and recommended contents for technical justifications-issue 2, ENIQ Report, 2010, no. 39, European Commission, Joint Research Centre, Institute for Energy.
10. Welton, P.J., Frey, H.G., and Moore, P.G., Experimental measurements of the scattering of acoustic waves by rough surfaces, J. Acoust. Soc. Am., 1972, vol. 52, no. 1A, p. 154.10.1121/1.1981961 ↗
11. Watson John, G. and Keller Joseph, B., Reflection, scattering and absorption of acoustic waves by rough surfaces, J. Acoust. Soc. Am., 1983, vol. 74, no. 6, pp. 1887–1894.10.1121/1.390236 ↗
12. Nagy Peter, B. and Adler, L., Surface roughness induced attenuation of reflected and transmitted ultrasonic waves, J. Acoust. Soc. Am., 1987, vol. 82, no. 1, pp. 193–197.10.1121/1.395545 ↗
13. Blessing, G.V., Bagley, P.P., and James, J.E., The effect of surface roughness on ultrasonic echo amplitude in steel, Ultrasonic Symposium, 1983, pp. 923–927.
14. Palanisamy, S., Nagarajah, C.R., and Iovenitti, P., Ultrasonic inspection of rough surface aluminium die casting, Insight, 2007, vol. 49, no. 3, pp. 160–164.10.1784/insi.2007.49.3.160 ↗
15. Isleyici, U., Effect of surface roughness on ultrasonic testing, Master Thesis, Middle East Technical University, 2005.
16. Thornton, P.A., The influence of nonmetallic inclusions on the mechanical properties of steel: A review, J. of Materials Science, 1971, vol. 6, pp. 347–356.10.1007/BF02403103 ↗
17. Juvonen, P., Effect of non-metallic inclusions on fatigue properties of calcium treated steels, PhD Dissertation, Helsinki University of Technology, Department of Mechanical Engineering, 2004.
18. Gubenko, S.I., Pinchuk, S.I., and Belaya, E.V., Investigation of non-metallic inclusion effect on corrosion behavior of wheel steel, Metallurgical and Mining Industry, 2011, vol. 3, no. 2, pp. 63–66.
19. European Network for Inspection Qualification, European methodology for qualification of non-destructive tests-second issue, EUR 17299 EN, European Commission, DG Joint Research Centre, Institute for Advanced Materials, Petten Establishment, Structural Components Integrity Unit, 1997.
20. European Network for Inspection Qualification, ENIQ recommended practice 1: Influential, essential parameters, issue 2, ENIQ Report, no. 24, European Commission, DG JRC, Institute for Energy, 2005.
21. Department of Defense, MIL-HDBK-1823A-nondestructive evaluation system reliability assessment, Department of Defense Handbook, USA, 2009.
22. Georgiou George, A., Probability of detection (PoD) curves-derivation, applications and limitations, research report 454, Jacobi Consulting Limited, Health & Safety Executive, UK, 2006.
23. Center for Nondestructive Evaluation, Iowa State University, Model-Assisted POD Working Group, available online: http://www.cnde.iastate.edu/mapod/
24. Darmon, M., Calmon, P., and Bele, B., Modelling of the ultrasonic response of inclusions in steels, Review of Quantitative Nondestructive Evaluation, 2003, vol. 22, pp. 101–108.10.1063/1.1570125 ↗