1974
DOI: 10.1016/0013-7944(74)90073-3
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An experimental study of the influence of inclusions on the fatigue properties of steel

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Cited by 22 publications
(7 citation statements)
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“…[1] Fatigue life length can be improved by a reduction of inclusion volume fraction and inclusion size, and by a decrease of microstructural orientation. [3,4] However, Härkegård [16] concludes in his paper that the volume fraction of inclusions has a relatively smaller effect on fatigue behavior compared with the influence on the ductility of a material.…”
Section: Fatigue Crack Initiationmentioning
confidence: 95%
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“…[1] Fatigue life length can be improved by a reduction of inclusion volume fraction and inclusion size, and by a decrease of microstructural orientation. [3,4] However, Härkegård [16] concludes in his paper that the volume fraction of inclusions has a relatively smaller effect on fatigue behavior compared with the influence on the ductility of a material.…”
Section: Fatigue Crack Initiationmentioning
confidence: 95%
“…For highcycle fatigue (HCF), nearly all cracks originate from inclusions. [1][2][3]16] Again, type, shape, size, and volume fraction of inclusions have a crucial influence on component behavior.…”
Section: Fatigue Behaviormentioning
confidence: 99%
“…The breathing crack model, has been studied, numerically and analytically, by different authors [9,10,11,12,13,14,15,16,17,18,19]. 31,33,34,35]. Moreover, many expressions which allow us to determine the SIF in round bars have been proposed [21,22,24,25,26,27,28].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, HCF experiments on advanced metallic alloys, such as Ni-base superalloys, titanium alloys, and high-strength steels, show that fatigue life can be unexpectedly much higher for some specimens [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] for which the failure origin is located in the bulk. The relative number of such observations increases as the stress amplitude decreases in the HCF regime and beyond, such that just below the traditional HCF limit, fatigue life data appears to be distributed between two branches.…”
Section: Introductionmentioning
confidence: 99%