2022
DOI: 10.1080/01694243.2022.2046247
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Optimization of FSP parameters to fabricate AA7075-based surface composites using Taguchi technique and TOPSIS approach

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Cited by 15 publications
(6 citation statements)
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“…Composite reinforced with 3, 6, and 9 vol.% AlN has an average SDAS of 28 µm, 18 µm, and 10 µm respectively. It may be due to the uniform distribution of AlN particles by UCT and heterogeneous nucleation by AlN particles in the A356 matrix [5,7]. Fig.…”
Section: Methodsmentioning
confidence: 97%
See 1 more Smart Citation
“…Composite reinforced with 3, 6, and 9 vol.% AlN has an average SDAS of 28 µm, 18 µm, and 10 µm respectively. It may be due to the uniform distribution of AlN particles by UCT and heterogeneous nucleation by AlN particles in the A356 matrix [5,7]. Fig.…”
Section: Methodsmentioning
confidence: 97%
“…Metal matrix composites (MMCs) are considered as a promising class of materials for engineering applications due to their unique combination of properties, resulted by the incorporation of reinforcement particles within the selected metallic matrix. Aluminum matrix composites, in particular, have attracted substantial interest owing to their outstanding mechanical properties, excellent thermal conductivity, and low density, which makes them suitable for a wide range of applications in aerospace, automotive, and electronic industries, among others [1][2][3][4][5][6][7][8][9]. One of the commonly used reinforcement particles in aluminum composites is aluminum nitride (AlN), which exhibits excellent thermal stability, high hardness, low density, good chemical and thermal stability.…”
Section: Introductionmentioning
confidence: 99%
“…Hardness value tends to enhance from 70 BHN for A356 alloy to 94 BHN for 9 vol% zircon addition. This significant improvement in hardness can be credited to the uniform distribution of hard zircon particles in matrix metal and generation of dislocations at the matrix particle boundary for the period of the solidification owing to the coefficient of thermal expansion difference among Al matrix and Zircon Particles [50][51][52][53].…”
Section: Hardnessmentioning
confidence: 99%
“…The ultimate tensile strength (UTS) and percentage elongation (EL) responses were analyzed and optimized by response surface methodology (RSM)-integrated grey relational analysis (GRA) analysis (Murugan and Ahmed, 2019). TOPSIS approach was used to optimize hardness and impact energy simultaneously (Suganeswaran et al , 2023). Uday et al used artificial neural network in conjugation with RSM for getting superlative output (Uday and Rajamurugan 2023a, 2023b).…”
Section: Introductionmentioning
confidence: 99%