Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]

This research is devoted to analyze the stress state and fatigue strength of two specimens made by a newly developed high-strength aluminium alloy produced by the wire arc additive manufacturing (WAAM) process. The relationship between fatigue strength and flaw size was calculated based on the root...

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Main Authors: Oberreiter, Matthias, Nik Norzainal Abidin, Nik Nur Khaleeda, Stoschka, Michael, Manurung, Yupiter HP, Adenan, Mohd Shahriman, Krishnamoorthy, Renga Rao
Format: Article
Language:English
Published: Smart Manufacturing Research Institute (SMRI) 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/86012/1/86012.pdf
https://ir.uitm.edu.my/id/eprint/86012/
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Institution: Universiti Teknologi Mara
Language: English
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spelling my.uitm.ir.860122023-10-29T14:02:38Z https://ir.uitm.edu.my/id/eprint/86012/ Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.] jaeds Oberreiter, Matthias Nik Norzainal Abidin, Nik Nur Khaleeda Stoschka, Michael Manurung, Yupiter HP Adenan, Mohd Shahriman Krishnamoorthy, Renga Rao Aluminum This research is devoted to analyze the stress state and fatigue strength of two specimens made by a newly developed high-strength aluminium alloy produced by the wire arc additive manufacturing (WAAM) process. The relationship between fatigue strength and flaw size was calculated based on the root squared area – a parameter by conventional Murakami’s equation which is a widely used analytical approach for predicting fatigue resistance in metallic materials. The research involves the metallographic preparation process on two aluminum alloy labeled HS-Al-A and HS-Al-B followed by Vickers hardness measurement. Further, the image of the observed pores was processed and dimensioned using an open-sourced software ImageJ by considering pixels and actual distance as well as by defining image threshold value for measuring pore sizes. The analytical approach is conducted in order to describe the maximum stress intensity factor Kmax at the crack front and to assess the fatigue strength σFS. As final results, specimen A has an average pore area of ≈65 µm with Kmax of 333.75 MPa∙√m and σFS of 137 MPa, while specimen B has an average pore area of ≈42 µm with Kmax of 325.13 MPa∙√m and σFS of 153 MPa. Overall, this research allows the formulation of a method for estimating fatigue strength of large defects leading to a conclusion that flaws can influence the fatigue resistance of the material so that the bigger the flaw size is, the lower σFS and the higher the Kmax. Smart Manufacturing Research Institute (SMRI) 2023-09 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/86012/1/86012.pdf Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]. (2023) Journal of Applied Engineering Design & Simulation (JAEDS) <https://ir.uitm.edu.my/view/publication/Journal_of_Applied_Engineering_Design_=26_Simulation_=28JAEDS=29/>, 3 (2): 1. pp. 1-14. ISSN 2805-5756
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Aluminum
spellingShingle Aluminum
Oberreiter, Matthias
Nik Norzainal Abidin, Nik Nur Khaleeda
Stoschka, Michael
Manurung, Yupiter HP
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
description This research is devoted to analyze the stress state and fatigue strength of two specimens made by a newly developed high-strength aluminium alloy produced by the wire arc additive manufacturing (WAAM) process. The relationship between fatigue strength and flaw size was calculated based on the root squared area – a parameter by conventional Murakami’s equation which is a widely used analytical approach for predicting fatigue resistance in metallic materials. The research involves the metallographic preparation process on two aluminum alloy labeled HS-Al-A and HS-Al-B followed by Vickers hardness measurement. Further, the image of the observed pores was processed and dimensioned using an open-sourced software ImageJ by considering pixels and actual distance as well as by defining image threshold value for measuring pore sizes. The analytical approach is conducted in order to describe the maximum stress intensity factor Kmax at the crack front and to assess the fatigue strength σFS. As final results, specimen A has an average pore area of ≈65 µm with Kmax of 333.75 MPa∙√m and σFS of 137 MPa, while specimen B has an average pore area of ≈42 µm with Kmax of 325.13 MPa∙√m and σFS of 153 MPa. Overall, this research allows the formulation of a method for estimating fatigue strength of large defects leading to a conclusion that flaws can influence the fatigue resistance of the material so that the bigger the flaw size is, the lower σFS and the higher the Kmax.
format Article
author Oberreiter, Matthias
Nik Norzainal Abidin, Nik Nur Khaleeda
Stoschka, Michael
Manurung, Yupiter HP
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
author_facet Oberreiter, Matthias
Nik Norzainal Abidin, Nik Nur Khaleeda
Stoschka, Michael
Manurung, Yupiter HP
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
author_sort Oberreiter, Matthias
title Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
title_short Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
title_full Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
title_fullStr Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
title_full_unstemmed Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]
title_sort analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on murakami method / matthias oberreiter ... [et al.]
publisher Smart Manufacturing Research Institute (SMRI)
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/86012/1/86012.pdf
https://ir.uitm.edu.my/id/eprint/86012/
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