Extraction of the dominant substructure of fracture surfaces in 3D

• Published in: Engineering failure analysis Vol. 145; p. 106999
• Main Authors: Lauschmann, Hynek, Kukal, Jaromír, Jiroušková, Kateřina, Tesař, Karel
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2023
• Subjects: Decomposition; Filtration; Fourier and wavelet transform; Fractography in 3D; Steel AISI 304L; Steel P92; Substructure; Filtration; Steel AISI 304L; Decomposition; Substructure; Steel P92; Fractography in 3D; Fourier and wavelet transform
• ISSN: 1350-6307; 1873-1961
• DOI: 10.1016/j.engfailanal.2022.106999

•Dimensional decomposition of the morphology of fracture surfaces is necessary.•The dominant substructure cannot be extracted by conventional methods.•Locally controlled filtration (LCF) provides an innovative solution of the problem.•LCF can be applied in many fields of science and engineering.•Successive multi-scale decomposition by means of LCF is possible. When fracture surfaces are rough and irregular, it is not possible to extract their dominant objects automatically. A method of locally controlled filtering (LCF) is proposed for achieving this aim, inherently targeted at the dominant substructure of input data. The degree of reduction of surface shapes is corrected by one numerical parameter, which can be selected as free or estimated from the input data. A characteristic for comparing outputs, called the parameter of reduction, is defined. An application on a 3D sample of the impact fracture surface of steel P92 is presented and compared with other solutions of filtration using Fourier and wavelet transforms and trapezoidal filtration windows. Although the solution using wavelets is more effective, both transformations lead to a greater content of undesirable smaller objects in the output in comparison with LCF, under the same value of the parameter of reduction. Several applications of fully automatic LCF on various fractures of steels P92 and AISI 304L are presented.