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

Oberreiter, Matthias and Nik Norzainal Abidin, Nik Nur Khaleeda and Stoschka, Michael and Manurung, Yupiter HP and Adenan, Mohd Shahriman and Krishnamoorthy, Renga Rao (2023) Analytical prediction of fatigue resistance of additively manufactured aluminium alloy based on Murakami method / Matthias Oberreiter ... [et al.]. Journal of Applied Engineering Design & Simulation (JAEDS), 3 (2): 1. pp. 1-14. ISSN 2805-5756

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Oberreiter, Matthias
UNSPECIFIED
Nik Norzainal Abidin, Nik Nur Khaleeda
khaleedazainal@gmail.com
Stoschka, Michael
UNSPECIFIED
Manurung, Yupiter HP
UNSPECIFIED
Adenan, Mohd Shahriman
UNSPECIFIED
Krishnamoorthy, Renga Rao
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering > Materials of engineering and construction > Aluminum
Divisions: Universiti Teknologi MARA, Shah Alam > College of Engineering
Journal or Publication Title: Journal of Applied Engineering Design & Simulation (JAEDS)
UiTM Journal Collections: UiTM Journal > Journal of Applied Engineering Design & Simulation (JAEDS)
ISSN: 2805-5756
Volume: 3
Number: 2
Page Range: pp. 1-14
Keywords: Murakami, Fatigue Strength, Stress Intensity Factor, ImageJ
Date: September 2023
URI: https://ir.uitm.edu.my/id/eprint/86012
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