Quantitative analysis of local fracture surface patterns in materials by shape parameters

Tanaka, Manabu; Kimura, Yosuke; Kato, Ryuichi; Oyama, N.

doi:10.1007/s10853-005-2080-y

Cited by 2 publications

(6 citation statements)

References 13 publications

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“…In this study, the surface roughness was also estimated on the fracture surfaces of the SS400 steel. The surface roughness (rms) on the three-dimensional fracture surface is defined by the standard deviation of the height in an analysed area of nϫn in pixel, such that 23,24) :…”

Section: Estimation Of Fractal Dimension and Surfacementioning

confidence: 99%

“…23,24) Figure 2 shows the procedure of the calculation and mapping of fractal dimension and surface roughness in an image. The local values of these shape parameters were calculated by Eqs.…”

Section: Fractal Dimension and Surface Roughness Mapsmentioning

confidence: 99%

“…Tanaka et al 23,24) proposed a geometrical analysis using the fractal dimension map (FDM) and the surface roughness map (SRM) for the detection of characteristic patterns on the fracture surfaces of materials. The following characteristic properties were found in the analysis using FDM and SRM.…”

Section: Analysis Of Fracture Process At Low Magnificationmentioning

confidence: 99%

“…Characteristic fracture patterns which are associated with the local fracture mechanisms, the crack growth direction or the fracture origin on a given fracture surface, may be detected by displaying and comparing the local values of the fractal dimension of the fracture surface with those of the surface roughness in the form of two-dimensional images, namely, the fractal dimension map (FDM) and the surface roughness map (SRM). 23,24) In this study, the three-dimensional geometrical analysis was applied to the quantitative evaluation of impact fracture surfaces in order to examine the relationship between the absorbed energy and the shape parameters such as the fractal dimension and the surface roughness of the fracture surface. Charpy impact tests were carried out using conventional V-notch specimens of the commercial SS400 steel in the temperature range from 194 K (Ϫ79°C) to 273 K (0°C).…”

Section: Introductionmentioning

confidence: 99%

“…Characteristic fracture patterns were also detected by geometrical analysis using FDM and SRM on the impact fracture surfaces formed by different fracture mechanisms. 23,24) Fracture processes in the representative fracture surfaces were experimentally discussed on the basis of the analysis of local fracture patterns.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Evaluation of the Impact Fracture Surfaces of SS400 Steel by the Three-dimensional Geometrical Analysis

et al. 2007

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The fractal dimension and the surface roughness of the fracture surface was estimated using the height data generated by the stereo matching method on Charpy V-notch specimens of the SS400 steel impactfractured in the temperature range from 194 K (Ϫ79°C) to 273 K (0°C). The representative fracture surfaces were quasi-cleavage fracture surface with river patterns and steps between facets at 194 K and ductile fracture surface with dimples and shear steps at 273 K. On the region close to the notch root (fracture initiation site), a definite correlation was not found between the absorbed energy and the fractal dimension of the fracture surface, but both absorbed energy and surface roughness increased with temperature because of increased proportion of ductile fracture surface with the larger surface roughness. There was essentially no difference in the fractal dimension between quasi-cleavage fracture surface and ductile fracture surface. Fracture process including fracture initiation, local crack growth or finally fractured part could be examined by the detection of characteristic fracture patterns using the fractal dimension map (FDM) and the surface roughness map (SRM). Detected steps of various sizes were associated with river patterns or fracture at ferrite grain boundaries on the quasi-cleavage fracture surface, and were associated with dimple walls or shear steps on the ductile fracture surface. Steps on both fracture surfaces were formed by common mechanism, namely, by plastic deformation (shear deformation). The density of steps was larger on the quasi-cleavage fracture surface than on the ductile fracture surface. These steps led to a large fractal dimension of the quasi-cleavage fracture surface comparable with the ductile fracture surface with dimples.

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Section: Estimation Of Fractal Dimension and Surfacementioning

confidence: 99%

Section: Fractal Dimension and Surface Roughness Mapsmentioning

confidence: 99%

Section: Analysis Of Fracture Process At Low Magnificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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