Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique
The synergy between AA2099 alloys and Graphene Nanoparticles (GNP) harnesses the potential of ultrasonic-assisted stir casting to create metal matrix composites (MMCs). The GNP content is systematically varied (0%, 0.1%, 0.2%, and 0.3%) within the AA2099 alloy matrix. The microstructural analysis em...
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IOP Publishing
2025-01-01
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| Series: | Materials Research Express |
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| Online Access: | https://doi.org/10.1088/2053-1591/ada1a7 |
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| author | Ch Polayya C S P Rao Veeresh Kumar G B |
| author_facet | Ch Polayya C S P Rao Veeresh Kumar G B |
| author_sort | Ch Polayya |
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| description | The synergy between AA2099 alloys and Graphene Nanoparticles (GNP) harnesses the potential of ultrasonic-assisted stir casting to create metal matrix composites (MMCs). The GNP content is systematically varied (0%, 0.1%, 0.2%, and 0.3%) within the AA2099 alloy matrix. The microstructural analysis employs scanning electron microscopy (SEM) and x-ray diffraction (XRD), while hardness is evaluated using specialized Vickers microhardness equipment. The results reveal a significant improvement in hardness with increasing GNP reinforcement content. Wear behavior investigations utilize pin-on-disc wear tests, guided by the Taguchi Technique and analyzed through an L16 array. Additionally, the influence of various factors on the wear rate and coefficient of friction (COF) is systematically analyzed using Analysis of Variance (ANOVA), highlighting the significant role of GNP content in both wear behavior and COF in these MMCs. SEM analysis of wear fractography provides insights into the fracture behavior of the specimens, elucidating wear mechanisms at the microscale. Lastly, corrosion testing demonstrated that higher GNP content enhances corrosion resistance, as indicated by lower corrosion current density and less negative corrosion potential. Optical microscopy (OM) confirmed that increased GNP content reduces corrosion pit size and enhances protective layer formation. |
| format | Article |
| id | doaj-art-1e10f387051f46878ad24f3cd5b8f5ad |
| institution | Kabale University |
| issn | 2053-1591 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
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| series | Materials Research Express |
| spelling | doaj-art-1e10f387051f46878ad24f3cd5b8f5ad2025-01-31T17:47:13ZengIOP PublishingMaterials Research Express2053-15912025-01-0112101500910.1088/2053-1591/ada1a7Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi TechniqueCh Polayya0https://orcid.org/0000-0001-6014-3159C S P Rao1Veeresh Kumar G B2https://orcid.org/0000-0002-8471-5390Mechanical Engineering Department, National Institute of Technology-Andhra Pradesh , Tadepalligudem, Andhra Pradesh, India; Mechanical Engineering Department, Lendi Institute of Engineering and Technology , Jonnada, Vizianagaram, Andhra Pradesh, IndiaMechanical Engineering Department, National Institute of Technology-Warangal , Telangana, IndiaMechanical Engineering Department, National Institute of Technology-Andhra Pradesh , Tadepalligudem, Andhra Pradesh, IndiaThe synergy between AA2099 alloys and Graphene Nanoparticles (GNP) harnesses the potential of ultrasonic-assisted stir casting to create metal matrix composites (MMCs). The GNP content is systematically varied (0%, 0.1%, 0.2%, and 0.3%) within the AA2099 alloy matrix. The microstructural analysis employs scanning electron microscopy (SEM) and x-ray diffraction (XRD), while hardness is evaluated using specialized Vickers microhardness equipment. The results reveal a significant improvement in hardness with increasing GNP reinforcement content. Wear behavior investigations utilize pin-on-disc wear tests, guided by the Taguchi Technique and analyzed through an L16 array. Additionally, the influence of various factors on the wear rate and coefficient of friction (COF) is systematically analyzed using Analysis of Variance (ANOVA), highlighting the significant role of GNP content in both wear behavior and COF in these MMCs. SEM analysis of wear fractography provides insights into the fracture behavior of the specimens, elucidating wear mechanisms at the microscale. Lastly, corrosion testing demonstrated that higher GNP content enhances corrosion resistance, as indicated by lower corrosion current density and less negative corrosion potential. Optical microscopy (OM) confirmed that increased GNP content reduces corrosion pit size and enhances protective layer formation.https://doi.org/10.1088/2053-1591/ada1a7AA2099 alloygraphene nano particles (GNP)ultrasonic-assisted stir castingmaterial hardnesswear performanceTaguchi methodology |
| spellingShingle | Ch Polayya C S P Rao Veeresh Kumar G B Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique Materials Research Express AA2099 alloy graphene nano particles (GNP) ultrasonic-assisted stir casting material hardness wear performance Taguchi methodology |
| title | Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique |
| title_full | Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique |
| title_fullStr | Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique |
| title_full_unstemmed | Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique |
| title_short | Enhancing tribological and corrosion characteristics of AA2099/GNP metal matrix nanocomposites through parametric optimization using Taguchi Technique |
| title_sort | enhancing tribological and corrosion characteristics of aa2099 gnp metal matrix nanocomposites through parametric optimization using taguchi technique |
| topic | AA2099 alloy graphene nano particles (GNP) ultrasonic-assisted stir casting material hardness wear performance Taguchi methodology |
| url | https://doi.org/10.1088/2053-1591/ada1a7 |
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