Optimising the wear performance of HVOF thermal spray coated Ti-6Al-4V alloy by grey relational approach

Thirumalvalavan, S.; Senthilkumar, N.

doi:10.1504/ijrapidm.2020.104418

Cited by 14 publications

(3 citation statements)

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“…These combinations are used to replacement of joints, spinal, dental applications etc. Particularly Zirconium dioxide with bioactive glass combination is used to total replacement of knee in the human body [ 27 ]. In recent years bioactive glass is generated in different categories of applications, BGs containing the counteractive ions namely strontium and magnesium [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Optimizing laser cladding powder injection parameters to shape bioactive glass nano-coated zirconium oxide for biomedical application

Giri,

Saravanan

2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Optimizing laser cladding powder injection parameters to shape bioactive glass nano-coated zirconium oxide for biomedical application

Giri,

Saravanan

2024

Heliyon

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“…GRA-PCA-based Taguchi optimization was applied for multi-variable optimization. In this study, the Taguchi strategy experimental run was drafted on an orthogonal array [11,12] where the Aluminum grade 7075 was used as the matrix material.…”

Section: Introductionmentioning

confidence: 99%

A combined approach to grey relational analysis and principal component analysis for development of input parameters in the wear characterization of Al7075 (SiC+Al2O3) hybrid metal matrix composites

Selvarasu,

Jayakumar

2023

Scientia Iranica

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The current research aims to study the e ect of mechanical stir casting on the Al7075-based lightweight alloy made of Al 2 O 3 and SiC at di erent times and speeds of the stirrer. As observed, the hybrid metal matrix improved the wear resistance of the composite material Al7075 (SiC+Al 2 O 3 ). Experimental designs were formulated using Taguchi's DoE and based on four levels and four parameters, L 16 OA was selected. Both Grey Relational Analysis (GRA) and Principle Component Analysis (PCA) were employed to calculate the matrix composition. In addition, Pin-On-Disc (POD) test was done to measure the wear resistance of the cast pins. Further, mechanical characterizations such as tensile, hardness, impact, density, and porosity were identi ed through testing. The optimum parameters in this study were SiC of 6%, Al 2 O 3 of 4%, stirrer time of 15 min, and stirrer speed of 600 rpm, which led to the low wear loss of 0.0034 g, superior micro hardness of 154.22 BHN, tensile strength of 443.61 MPa, and impact energy of 3 J. From the ANOVA results, the stirrer speed was the most in uential parameter among others with the share of 49.40%. The worn surfaces were identi ed through the Scanning Electron Microscope (SEM) and Energy Dispersive X-ray (EDX) analyses.

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“…The Taguchi approach is normally suitable for the optimization of a single objective. To solve the multi-objective optimization of thermal spray processes, several authors have developed the Taguchi-OEC technique, 9 Taguchi-based gray relational analysis 10,11 and response surface methodology. 12,13 Pal and Gauri 14 introduced the multiple regression-based weighted signal-to-noise ratio (MRWSN) optimization method, which was based on a combination of the Taguchi and mathematical regression techniques.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of WC-12Co coating by high-velocity oxygen fuel spray using multiple regression-based weighted signal-to-noise ratio

Nguyen

Doan

Tong

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In this study, the optimal process parameters for a high-velocity oxygen fuel spray, which was used to deposit WC-12Co coating on a 16Mn steel substrate, were studied to simultaneously improve the microhardness, adhesion strength, and porosity of the coating. To this end, trial tests were conducted to determine the feasible ranges of the spray parameters: powder feed rate ( A), spray distance ( B), and oxygen/propane mixture ratio ( C). Taguchi orthogonal array (L9) experimental design was used to determine regression formulae for the microhardness, adhesion strength, and porosity. Then, based on a method using the multiple regression-based weighted signal-to-noise ratio, the optimal spray parameters were identified. To verify the optimization results, confirmation experiments were carried out. An analysis of variance was also conducted to check the proportion of contribution of the spray parameters on the output quality characteristics. The confirmation test results proved that the predicted and measured results were in good agreement. The optimal conditions of the high-velocity oxygen fuel spray were: A = 32 g/min, B = 0.35 m, and C = 5. The estimated optimal coating properties were: microhardness = 1335.784 HV, adhesion strength = 64.659 MPa, and porosity = 1.797%. The oxygen/propane ratio showed the highest contribution to the microhardness, whereas the most influential factor for both adhesion strength and porosity was the spraying distance.

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Optimising the wear performance of HVOF thermal spray coated Ti-6Al-4V alloy by grey relational approach

Cited by 14 publications

References 0 publications

Optimizing laser cladding powder injection parameters to shape bioactive glass nano-coated zirconium oxide for biomedical application

Optimizing laser cladding powder injection parameters to shape bioactive glass nano-coated zirconium oxide for biomedical application

A combined approach to grey relational analysis and principal component analysis for development of input parameters in the wear characterization of Al7075 (SiC+Al2O3) hybrid metal matrix composites

Multi-objective optimization of WC-12Co coating by high-velocity oxygen fuel spray using multiple regression-based weighted signal-to-noise ratio

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