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ABSTRACT

Reconstruction and Evaluation of 3D Fracture Surface Morphology

K. Slámečka1, J.Pokluda1, P. Ponížil 2, P. Šandera1

Institute of Engineering Physics, Brno University of Technology, Technická 2, 616 69 Brno, Czech Republic
Department of Physics and Materials Engineering, Tomas Bata University in Zlin, sq. TGM 588, 762 72 Zlin, Czech Republic

The International Conference on Computational & Experimental Engineering and Sciences 2007, 1(4), 153-160. https://doi.org/10.3970/icces.2007.001.153

Abstract

In the paper a procedure for evaluation of the fracture surface morphology is described in detail. It consists of the stereophotogrammetrical 3D surface reconstruction followed by the Delaunay triangulation of obtained set of surface points. The potential of the procedure is demonstrated using fracture surfaces generated under combined bending-torsion fatigue loading of specimens made from high-strength low-alloy Cr-Al-Mo steel. Fracture profiles extracted from calculated 3D meshes are characterized by the root mean square roughness and the Hurst exponent. As a main result of the analysis the critical portion of the torsion loading component after which the character of the crack path changes rapidly is estimated to be approximately 50%.

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APA Style
Slámečka, K., J.Pokluda, , Ponížil, P., Šandera, P. (2007). Reconstruction and evaluation of 3D fracture surface morphology. The International Conference on Computational & Experimental Engineering and Sciences, 1(4), 153-160. https://doi.org/10.3970/icces.2007.001.153
Vancouver Style
Slámečka K, J.Pokluda , Ponížil P, Šandera P. Reconstruction and evaluation of 3D fracture surface morphology. Int Conf Comput Exp Eng Sciences . 2007;1(4):153-160 https://doi.org/10.3970/icces.2007.001.153
IEEE Style
K. Slámečka, J.Pokluda, P. Ponížil, and P. Šandera, “Reconstruction and Evaluation of 3D Fracture Surface Morphology,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 1, no. 4, pp. 153-160, 2007. https://doi.org/10.3970/icces.2007.001.153



cc Copyright © 2007 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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