Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis

Friction Stir Processing (FSP) involves the use of Silicon Carbide (SiC) and Graphite (Gr) nanoparticles as reinforcements to enhance the properties of AZ91 Mg alloy composites. The relationship between FSP processing parameters and surface properties of Mg alloy composites with SiC and Gr nanoparti...

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Main Authors: Marode, R.V., Awang, M., Lemma, T.A., Pedapati, S.R., Hassan, A., Janga, V.S.R., Alam, M.A., Loyte, A., Devarajan, Y.
Format: Article
Published: 2024
Online Access:http://scholars.utp.edu.my/id/eprint/38091/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176427546&doi=10.1016%2fj.jallcom.2023.172703&partnerID=40&md5=c611e54517289f361e8a4c71779cc816
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spelling oai:scholars.utp.edu.my:380912023-12-11T03:17:33Z http://scholars.utp.edu.my/id/eprint/38091/ Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis Marode, R.V. Awang, M. Lemma, T.A. Pedapati, S.R. Hassan, A. Janga, V.S.R. Alam, M.A. Loyte, A. Devarajan, Y. Friction Stir Processing (FSP) involves the use of Silicon Carbide (SiC) and Graphite (Gr) nanoparticles as reinforcements to enhance the properties of AZ91 Mg alloy composites. The relationship between FSP processing parameters and surface properties of Mg alloy composites with SiC and Gr nanoparticles is poorly understood. The present study addresses this and investigates the impact of SiC and Gr volume percentages (vol), tool traverse speed (TTS), and tool rotational speed (TRS) on the corrosion behavior and microhardness of AZ91 alloy composites. FSP turns graphite into layered graphene, making it more corrosion-resistant and stronger through various strengthening mechanisms. Taguchi optimization yielded optimal settings in runs H7 (1500 rpm-20 mm/min-13 vol) and H8 (1500 rpm-40 mm/min-7 vol) for high microhardness and low corrosion rate. Conversely, runs H1 (500 rpm-20 mm/min-7 vol) and H3 (500 rpm-60 mm/min-13 vol) resulted in reduced microhardness and increased corrosion rate. Integrating Taguchi and Grey Relational Analysis (GRA) optimized the multi-objective enhancement of microhardness and corrosion resistance, achieving 3rd-level values for TRS, TTS, and vol. Notably, the reinforcement percentage, followed by TRS and TTS, simultaneously improved these responses. © 2023 Elsevier B.V. 2024 Article NonPeerReviewed Marode, R.V. and Awang, M. and Lemma, T.A. and Pedapati, S.R. and Hassan, A. and Janga, V.S.R. and Alam, M.A. and Loyte, A. and Devarajan, Y. (2024) Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis. Journal of Alloys and Compounds, 972. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176427546&doi=10.1016%2fj.jallcom.2023.172703&partnerID=40&md5=c611e54517289f361e8a4c71779cc816 10.1016/j.jallcom.2023.172703 10.1016/j.jallcom.2023.172703 10.1016/j.jallcom.2023.172703
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Friction Stir Processing (FSP) involves the use of Silicon Carbide (SiC) and Graphite (Gr) nanoparticles as reinforcements to enhance the properties of AZ91 Mg alloy composites. The relationship between FSP processing parameters and surface properties of Mg alloy composites with SiC and Gr nanoparticles is poorly understood. The present study addresses this and investigates the impact of SiC and Gr volume percentages (vol), tool traverse speed (TTS), and tool rotational speed (TRS) on the corrosion behavior and microhardness of AZ91 alloy composites. FSP turns graphite into layered graphene, making it more corrosion-resistant and stronger through various strengthening mechanisms. Taguchi optimization yielded optimal settings in runs H7 (1500 rpm-20 mm/min-13 vol) and H8 (1500 rpm-40 mm/min-7 vol) for high microhardness and low corrosion rate. Conversely, runs H1 (500 rpm-20 mm/min-7 vol) and H3 (500 rpm-60 mm/min-13 vol) resulted in reduced microhardness and increased corrosion rate. Integrating Taguchi and Grey Relational Analysis (GRA) optimized the multi-objective enhancement of microhardness and corrosion resistance, achieving 3rd-level values for TRS, TTS, and vol. Notably, the reinforcement percentage, followed by TRS and TTS, simultaneously improved these responses. © 2023 Elsevier B.V.
format Article
author Marode, R.V.
Awang, M.
Lemma, T.A.
Pedapati, S.R.
Hassan, A.
Janga, V.S.R.
Alam, M.A.
Loyte, A.
Devarajan, Y.
spellingShingle Marode, R.V.
Awang, M.
Lemma, T.A.
Pedapati, S.R.
Hassan, A.
Janga, V.S.R.
Alam, M.A.
Loyte, A.
Devarajan, Y.
Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
author_facet Marode, R.V.
Awang, M.
Lemma, T.A.
Pedapati, S.R.
Hassan, A.
Janga, V.S.R.
Alam, M.A.
Loyte, A.
Devarajan, Y.
author_sort Marode, R.V.
title Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
title_short Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
title_full Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
title_fullStr Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
title_full_unstemmed Friction stir processing of AZ91 hybrid composites with exfoliated multi-layered graphene: A Taguchi-Grey relational analysis
title_sort friction stir processing of az91 hybrid composites with exfoliated multi-layered graphene: a taguchi-grey relational analysis
publishDate 2024
url http://scholars.utp.edu.my/id/eprint/38091/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176427546&doi=10.1016%2fj.jallcom.2023.172703&partnerID=40&md5=c611e54517289f361e8a4c71779cc816
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