A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach

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A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach. / Oberreiter, Matthias; Fladischer, Stefan; Stoschka, Michael et al.

In: Metals, Vol. 12.2022, No. 5, 784, 30.04.2022.

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@article{93fa83ad1d08461c9fe42cc04699a402,
title = "A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach",
abstract = "An advanced lightweight design in cast aluminium alloys features complexly shaped geometries with strongly varying local casting process conditions. This affects the local microstructure in terms of porosity grade and secondary dendrite arm spacing distribution. Moreover, complex service loads imply changing local load stress vectors within these components, evoking a wide range of highly stressed volumes within different microstructural properties per load sequence. To superimpose the effects of bulk and surface fatigue strength in relation to the operating load sequence for the aluminium alloy EN AC 46200, a layer-based fatigue assessment concept is applied in this paper considering a non-homogeneous distribution of defects within the investigated samples. The bulk fatigue property is now obtained by a probabilistic evaluation of computed tomography results per investigated layer. Moreover, the effect of clustering defects of computed tomography is studied according to recommendations from the literature, leading to a significant impact in sponge-like porosity layers. The highly stressed volume fatigue model is applied to computed tomography results. The validation procedure leads to a scattering of mean fatigue life from −2.6% to 12.9% for the investigated layers, inheriting strongly varying local casting process conditions.",
keywords = "aluminium casting, aluminium casting, local fatigue assessment, shrinkage porosity, probability distribution, extreme value statistics, computed tomography",
author = "Matthias Oberreiter and Stefan Fladischer and Michael Stoschka and Martin Leitner",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2022",
month = apr,
day = "30",
doi = "10.3390/met12050784",
language = "English",
volume = "12.2022",
journal = "Metals : open access journal ",
issn = "2075-4701",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",

}

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TY - JOUR

T1 - A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach

AU - Oberreiter, Matthias

AU - Fladischer, Stefan

AU - Stoschka, Michael

AU - Leitner, Martin

N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/4/30

Y1 - 2022/4/30

N2 - An advanced lightweight design in cast aluminium alloys features complexly shaped geometries with strongly varying local casting process conditions. This affects the local microstructure in terms of porosity grade and secondary dendrite arm spacing distribution. Moreover, complex service loads imply changing local load stress vectors within these components, evoking a wide range of highly stressed volumes within different microstructural properties per load sequence. To superimpose the effects of bulk and surface fatigue strength in relation to the operating load sequence for the aluminium alloy EN AC 46200, a layer-based fatigue assessment concept is applied in this paper considering a non-homogeneous distribution of defects within the investigated samples. The bulk fatigue property is now obtained by a probabilistic evaluation of computed tomography results per investigated layer. Moreover, the effect of clustering defects of computed tomography is studied according to recommendations from the literature, leading to a significant impact in sponge-like porosity layers. The highly stressed volume fatigue model is applied to computed tomography results. The validation procedure leads to a scattering of mean fatigue life from −2.6% to 12.9% for the investigated layers, inheriting strongly varying local casting process conditions.

AB - An advanced lightweight design in cast aluminium alloys features complexly shaped geometries with strongly varying local casting process conditions. This affects the local microstructure in terms of porosity grade and secondary dendrite arm spacing distribution. Moreover, complex service loads imply changing local load stress vectors within these components, evoking a wide range of highly stressed volumes within different microstructural properties per load sequence. To superimpose the effects of bulk and surface fatigue strength in relation to the operating load sequence for the aluminium alloy EN AC 46200, a layer-based fatigue assessment concept is applied in this paper considering a non-homogeneous distribution of defects within the investigated samples. The bulk fatigue property is now obtained by a probabilistic evaluation of computed tomography results per investigated layer. Moreover, the effect of clustering defects of computed tomography is studied according to recommendations from the literature, leading to a significant impact in sponge-like porosity layers. The highly stressed volume fatigue model is applied to computed tomography results. The validation procedure leads to a scattering of mean fatigue life from −2.6% to 12.9% for the investigated layers, inheriting strongly varying local casting process conditions.

KW - aluminium casting

KW - aluminium casting

KW - local fatigue assessment

KW - shrinkage porosity

KW - probability distribution

KW - extreme value statistics

KW - computed tomography

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85129214255&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1

U2 - 10.3390/met12050784

DO - 10.3390/met12050784

M3 - Article

VL - 12.2022

JO - Metals : open access journal

JF - Metals : open access journal

SN - 2075-4701

IS - 5

M1 - 784

ER -