Roman Aigner

Mr. Roman Aigner

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2019 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
RARoman Aigner
Roman Aigner
SPS. Pusterhofer
S. Pusterhofer
SPSebastian Pomberger
Sebastian Pomberger
MLM. Leitner
M. Leitner
MSMichael Stoschka
Michael Stoschka

1 April 2020 in International Journal of Fatigue
Verified
Journal Article
Closed access
SPSebastian Pomberger
Sebastian Pomberger
MSMichael Stoschka
Michael Stoschka
RARoman Aigner
Roman Aigner
MLM. Leitner
M. Leitner
RER. Ehart
R. Ehart

14 May 2019 in Materials
Verified
Journal Article
Open access
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RARoman Aigner
Roman Aigner
SPSebastian Pomberger
Sebastian Pomberger
Martin LeitnerMartin Leitner
Martin Leitner
MSMichael Stoschka
Michael Stoschka
Manufacturing process based imperfections can reduce the theoretical fatigue strength since they can be considered as pre-existent microcracks. The statistical distribution of fatigue fracture initiating defect sizes also varies with the highly-stressed volume, since the probability of a larger highly-stressed volume to inherit a potentially critical defect is elevated. This fact is widely known by the scientific community as the statistical size effect. The assessment of this effect within this paper is based on the statistical distribution of defect sizes in a reference volume V 0 compared to an arbitrary enlarged volume V α . By implementation of the crack resistance curve in the Kitagawa–Takahashi diagram, a fatigue assessment model, based on the volume-dependent probability of occurrence of inhomogeneities, is set up, leading to a multidimensional fatigue assessment map. It is shown that state-of-the-art methodologies for the evaluation of the statistical size effect can lead to noticeable over-sizing in fatigue design of approximately 10 % . On the other hand, the presented approach, which links the statistically based distribution of defect sizes in an arbitrary highly-stressed volume to a crack-resistant dependent Kitagawa–Takahashi diagram leads to a more accurate fatigue design with a maximal conservative deviation of 5 % to the experimental validation data. Therefore, the introduced fatigue assessment map improves fatigue design considering the statistical size effect of lightweight aluminium cast alloys.

14 December 2018 in Materials
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Journal Article
Open access
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RARoman Aigner
Roman Aigner
Martin LeitnerMartin Leitner
Martin Leitner
MSMichael Stoschka
Michael Stoschka
CHChristian Hannesschläger
Christian Hannesschläger
TWThomas Wabro
Thomas Wabro
RERobert Ehart
Robert Ehart
Cast parts usually inherit internal defects such as micro shrinkage pores due to the manufacturing process. In order to assess the fatigue behaviour in both finite-life and long-life fatigue regions, this paper scientifically contributes towards a defect-based fatigue design model. Extensive fatigue and fracture mechanical tests were conducted whereby the crack initiating defect size population was fractographically evaluated. Complementary in situ X-ray computed tomography scans before and during fatigue testing enabled an experimental estimation of the lifetime until crack initiation, acting as a significant input for the fatigue model. A commonly applied fatigue assessment approach introduced by Tiryakioglu was modified by incorporating the long crack threshold value, which additionally enabled the assessment of the fatigue strength in the long-life fatigue regime. The presented design concept was validated utilising the fatigue test results, which revealed a sound agreement between the experiments and the model. Only a minor deviation of up to about five percent in case of long-life fatigue strength and up to about 9% in case of finite-lifetime were determined. Thus, the provided extension of Tiryakioglu’s approach supports a unified fatigue strength assessment of cast aluminium alloys in both the finite- and long-life regimes.

1 June 2019 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
RARoman Aigner
Roman Aigner
MLM. Leitner
M. Leitner
MSMichael Stoschka
Michael Stoschka

6 December 2018 in Metals
Verified
Journal Article
Open access
PDF file
RARoman Aigner
Roman Aigner
CGChristian Garb
Christian Garb
Martin LeitnerMartin Leitner
Martin Leitner
MSMichael Stoschka
Michael Stoschka
FGFlorian Grün
Florian Grün
This paper contributes to the effect of elevated temperature on the fatigue strength of common aluminum cast alloys EN AC-46200 and EN AC-45500. The examination covers both static as well as cyclic fatigue investigations to study the damage mechanism of the as-cast and post-heat-treated alloys. The investigated fracture surfaces suggest a change in crack origin at elevated temperature of 150 ∘ C. At room temperature, most fatigue tests reveal shrinkage-based micro pores as their crack initiation, whereas large slipping areas occur at elevated temperature. Finally, a modified a r e a -based fatigue strength model for elevated temperatures is proposed. The original a r e a model was developed by Murakami and uses the square root of the projected area of fatigue fracture-initiating defects to correlate with the fatigue strength at room temperature. The adopted concept reveals a proper fit for the fatigue assessment of cast Al-Si materials at elevated temperatures; in detail, the slope of the original model according to Murakami should be decreased at higher temperatures as the spatial extent of casting imperfections becomes less dominant at elevated temperatures. This goes along with the increased long crack threshold at higher operating temperature conditions.