Areal fatigue strength assessment of cast aluminium surface layers

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Areal fatigue strength assessment of cast aluminium surface layers. / Pomberger, Sebastian; Stoschka, Michael; Aigner, Roman et al.
In: International Journal of Fatigue, Vol. 133.2020, No. April, 105423, 20.12.2019.

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@article{8518010c421c44de9e8d917021baab5a,
title = "Areal fatigue strength assessment of cast aluminium surface layers",
abstract = "The fatigue strength of cast aluminium surface layers is significantly affected by casting imperfections. Experimental work reveals crack initiation due to three failure modes; microporosity, cast surface texture as well as a combination of both. A novel local sub-area evaluation of notch factors for surface texture characterisation utilises areal surface texture by pit depth values , ranging within several hundred microns, and related notch root radii distributions. Additionally, the cast bulk strength is calculated by Murakami{\textquoteright}s approach. For all three failure cases, the presented holistic fatigue layer strength assessment methodology is well applicable for sand cast aluminium.",
keywords = "Areal roughness parameter, Cast aluminium surface layer, Fatigue strength, Porosity, Sub-area analysis",
author = "Sebastian Pomberger and Michael Stoschka and Roman Aigner and Martin Leitner and Robert Ehart",
year = "2019",
month = dec,
day = "20",
doi = "10.1016/j.ijfatigue.2019.105423",
language = "English",
volume = "133.2020",
journal = "International Journal of Fatigue",
issn = "0142-1123",
publisher = "Elsevier Ltd",
number = "April",

}

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TY - JOUR

T1 - Areal fatigue strength assessment of cast aluminium surface layers

AU - Pomberger, Sebastian

AU - Stoschka, Michael

AU - Aigner, Roman

AU - Leitner, Martin

AU - Ehart, Robert

PY - 2019/12/20

Y1 - 2019/12/20

N2 - The fatigue strength of cast aluminium surface layers is significantly affected by casting imperfections. Experimental work reveals crack initiation due to three failure modes; microporosity, cast surface texture as well as a combination of both. A novel local sub-area evaluation of notch factors for surface texture characterisation utilises areal surface texture by pit depth values , ranging within several hundred microns, and related notch root radii distributions. Additionally, the cast bulk strength is calculated by Murakami’s approach. For all three failure cases, the presented holistic fatigue layer strength assessment methodology is well applicable for sand cast aluminium.

AB - The fatigue strength of cast aluminium surface layers is significantly affected by casting imperfections. Experimental work reveals crack initiation due to three failure modes; microporosity, cast surface texture as well as a combination of both. A novel local sub-area evaluation of notch factors for surface texture characterisation utilises areal surface texture by pit depth values , ranging within several hundred microns, and related notch root radii distributions. Additionally, the cast bulk strength is calculated by Murakami’s approach. For all three failure cases, the presented holistic fatigue layer strength assessment methodology is well applicable for sand cast aluminium.

KW - Areal roughness parameter

KW - Cast aluminium surface layer

KW - Fatigue strength

KW - Porosity

KW - Sub-area analysis

UR - http://www.scopus.com/inward/record.url?scp=85077073063&partnerID=8YFLogxK

U2 - 10.1016/j.ijfatigue.2019.105423

DO - 10.1016/j.ijfatigue.2019.105423

M3 - Article

AN - SCOPUS:85077073063

VL - 133.2020

JO - International Journal of Fatigue

JF - International Journal of Fatigue

SN - 0142-1123

IS - April

M1 - 105423

ER -