Fatigue crack analysis of ferrite material by acoustic emission technique

Authors

  • Md. T. I. Islam Khan Department of Advanced Technology Fusion, Saga University, 1 Honjo-machi, Saga 840-8502, Japan Phone: +81-952-28-8628, Fax: +81-952-28-8587
  • A. A. Rashid Department of Advanced Technology Fusion, Saga University, 1 Honjo-machi, Saga 840-8502, Japan Phone: +81-952-28-8628, Fax: +81-952-28-8587
  • R. Hidaka Department of Advanced Technology Fusion, Saga University, 1 Honjo-machi, Saga 840-8502, Japan Phone: +81-952-28-8628, Fax: +81-952-28-8587
  • N. Hattori Department of Mechanical Engineering, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
  • Md. M. Islam School of Mechanical and Electrical Engineering, University of Southern Queensland, West St, Toowoomba, QLD 4350, Australia

DOI:

https://doi.org/10.15282/jmes.13.2.2019.21.0418

Keywords:

Acoustic Emission, Acoustic Energy, Ferrite material, Fatigue Loading, Fractal Dimension, Image Processing

Abstract

Recently in various fields, numerous researches are going on for the assessment of material damage on the basis of crack initiation and propagation. Various methods are available in NDT for this purpose, among which analysis using released acoustic emission (AE) waves due to crack propagation is very effective due to its dynamic monitoring features. Various approaches are proposed for long time to make it an ideal method for accurate monitoring of crack behaviors in materials. In fragmentation theory there are some proportionality among the relations of AE event, AE energy, area and volume of cracks etc., which are calculated from the released AE waves from any dynamic crack. It has been found that the necessity of calculating the fractal dimension is important in verifying these relationships. This parameter is emphasized for determining the geometry of the irregularity in crack surface and crack volume. In this paper a novel approach based on image processing is proposed to find out the fractal dimension for analyzing the crack propagation characteristics. Finally, the proportionality relationships of AE parameters with crack propagation behavior in ferrite cast iron under fatigue loading are demonstrated experimentally.

References

Kotowski P. Fractal dimension of metallic fracture surface. International Journal of Fracture. 2006;141(1-2):269-286.

Carpinteri A, Lacidogna G. Structural Monitoring and Integrity Assessment of Medieval Towers. Journal of Structural Engineering. 2006;132(11):1681-1690.

Riemer A, Leuders S, Thöne M, Richard HA, Tröster T, Niendorf T. On the fatigue crack growth behavior in 316L stainless steel manufactured by selective laser melting. Engineering Fracture Mechanics. 2014;120:15-25.

Strantza M, Van Hemelrijck D, Guillaume P, Aggelis DG. Acoustic emission monitoring of crack propagation in additively manufactured and conventional titanium components. Mechanics Research Communications. 2017;84:8-13.

Aggelis DG. Classification of cracking mode in concrete by acoustic emission parameters. Mechanics Research Communications. 2011;38(3):153-157.

Yonezu A, Arino M, Kondo T, Hirakata H, Minoshima K. On hydrogen-induced Vickers indentation cracking in high-strength steel. Mechanics Research Communications. 2010;37(2):230-234.

Aggelis DG, Kordatos EZ, Matikas TE. Acoustic emission for fatigue damage characterization in metal plates. Mechanics Research Communications. 2011;38(2):106-110.

Kordatos EZ, Aggelis DG, Matikas TE. Monitoring mechanical damage in structural materials using complimentary NDE techniques based on thermography and acoustic emission. Composites Part B: Engineering. 2012;43(6):2676-2686.

Roberts TM, Talebzadeh M. Acoustic emission monitoring of fatigue crack propagation. Journal of Constructional Steel Research. 2003;59(6):695-712.

Berlinsky Y, Rosen M, Simmons J, Wadley HNG. A calibration approach to acoustic emission energy measurement. Journal of Nondestructive Evaluation. 1991;10(1):1-5.

Obaidi SMAA, Leong MS, Hamzah RIR, Abdelrhman AM, Danaee M. Acoustic emission parameters evaluation in machinery condition monitoring by using the concept of multivariate analysis. ARPN Journal of Engineering and Applied Sciences. 2016;11(12):7507-7514.

Dong D, Xiangdong Z, Libin L. Research on relationship between parameters correlation of acoustic emission and rock failure. Sensors and Transducers 2014;183(12):147-154.

Kral Z, Horn W, Steck J. Crack propagation analysis using acoustic emission sensors for structural health monitoring systems. The Scientific World Journal. 2013;2013.

Carpinteri A, Lacidogna G, Accornero F, Mpalaskas AC, Matikas TE, Aggelis DG. Influence of damage in the acoustic emission parameters. Cement and Concrete Composites. 2013;44:9-16.

Carpinteri A, Pugno N. Fractal fragmentation theory for size effects of quasi-brittle materials in compression. Magazine of Concrete Research. 2005;57(6):309-313.

Klinkenberg B. A review of methods used to determine the fractal dimension of linear features. International Association for Mathmatical Geology. 1994;26;No.1;23-46.

Landis EN, Baillon L, editors. Acoustic emission measurements of fracture energy. The fourth international conference on fracture mechanics of concrete and concrete structures; 2001; Cachan, France: A.A.BALKEMA PUBLISHERS.

Sagar RV, editor An experimental study on acoustic emission energy and fracture energy of concrete. National Seminar & Exhibition on Non-Destructive Evaluation; 2009; Tiruchirappalli, India.

Carpinteri A, Lacidogna G, Pugno N. Structural damage diagnosis and life-time assessment by acoustic emission monitoring. Engineering Fracture Mechanics. 2007;74(1-2):273-289.

Long M, Peng F. A Box-Counting Method with Adaptable Box Height for Measuring the Fractal Feature of Images. Radioengineering. 2013;22(1):208-213.

Nayak SR, Mishra J. An improved method to estimate the fractal dimension of colour images. Perspectives in Science. 2016;8:412-416.

Berke J, editor Spectral Fractal Dimension. The 4th WSEAS International Conference on Telecommunications and Informatics; 2005; Prague, Czech Republic.

Harrar K, Hamami L, editors. The box counting method for evaluate the fractal dimension in radiographic images. 6th WSEAS International Conference on Circuits, Systems, Electronics,Control & Signal Processing; 2007; Cairo, Egypt: WSEAS Press.

Reishofer G, Koschutnig K, Enzinger C, Ebner F, Ahammer H. Fractal dimension and vessel complexity in patients with cerebral arteriovenous malformations. PLoS ONE. 2012;7(7).

Panigrahy C, Garcia-Pedrero A, Seal A, Rodríguez-Esparragón D, Mahato NK, Gonzalo-Martín C. An approximated box height for Differential-Box-Counting method to estimate fractal dimensions of gray-scale images. Entropy. 2017;19(10).

Ritchie RO. Mechanisms of fatigue-crack propagation in ductile and brittle solids. International Journal of Fracture. 1999;100:55-83

Downloads

Published

2019-06-28

How to Cite

[1]
M. T. I. I. Khan, A. A. Rashid, R. Hidaka, N. Hattori, and M. M. Islam, “Fatigue crack analysis of ferrite material by acoustic emission technique”, J. Mech. Eng. Sci., vol. 13, no. 2, pp. 5074–5089, Jun. 2019.