1988
DOI: 10.1016/s0036-9748(88)80057-7
|View full text |Cite
|
Sign up to set email alerts
|

Relationship between fractal dimension and fatigue threshold value in dual-phase steels

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
10
0
1

Year Published

1988
1988
2014
2014

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 71 publications
(13 citation statements)
references
References 6 publications
2
10
0
1
Order By: Relevance
“…Mixed phase fractures were also reported by Wang and Chen (Wang, Chen et al 1988;Chen, Wang et al 1989) for a varying volume fraction of martensite (a hard, brittle phase) in steels. They found that fractal dimension (fracture roughness) increased with martensite content up to about 35% and then decreased.…”
Section: Brittle Fracturesupporting
confidence: 55%
“…Mixed phase fractures were also reported by Wang and Chen (Wang, Chen et al 1988;Chen, Wang et al 1989) for a varying volume fraction of martensite (a hard, brittle phase) in steels. They found that fractal dimension (fracture roughness) increased with martensite content up to about 35% and then decreased.…”
Section: Brittle Fracturesupporting
confidence: 55%
“…Fractal dimensions of about 1.2 were obtained, implying a roughness exponent α 0.8. Wang et al (1988) investigated the relationship between the fractal dimension of a fracture surface and its fatigue threshold using dual-phase steel, and found roughly a linear relation between the two. Wang et al (1988) investigated the relationship between the fractal dimension of a fracture surface and its fatigue threshold using dual-phase steel, and found roughly a linear relation between the two.…”
Section: Roughness Of Fracture Surfacesmentioning
confidence: 99%
“…[1][2][3][4][5][6] That is, fractal dimensions involving the degree of 3D surface roughness can be evaluated over a wide spatial cut-off range. In this regard, the usefulness and accuracy of a triangulation method to quantify a self-similar fractal dimension has been suggested 7) and the method has been recently applied to investigate the surface properties of passivated surface of stainless steels.…”
Section: Introductionmentioning
confidence: 99%