M
M.S. Vijayanand
Researcher at Paavai Engineering College
Publications - 6
Citations - 35
M.S. Vijayanand is an academic researcher from Paavai Engineering College. The author has contributed to research in topics: Engineering & Nickel. The author has an hindex of 1, co-authored 2 publications receiving 21 citations.
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Study on mechanical properties of graphite particulates reinforced aluminium matrix composite fabricated by stir casting technique
TL;DR: In this article, the authors focused on the production of aluminium (AA6351) matrix composites reinforced in different mass fractions of graphite particulates by using stir casting method, the mass fraction of reinforcement was varied from 0% to 12% in stages of 4%.
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Optimization of friction welding parameters on aluminium 7068 alloy
TL;DR: In this article, the tensile strength was measured with respect to the input factors such as rotational speed, friction and forging pressure, and the intercept of factors and its effects have been discussed through three dimensional surface plot analysis and variance test.
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Optimization of process parameters using central composite design and Taguchi method to improve hardness in ENi-B coatings: A comparative approach
TL;DR: In this article , a central composite design (CCD) of response surface methodology (RSM) and Taguchi technique (TT) was employed to develop the experimental runs, the optimum process parameters were identified by utilizing the signal-to-noise (S/N) ratio computed for the hardness as per ''the larger is better'' approach.
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Process Modeling and Intuitive Search Based Optimization of Average Surface Roughness in Citrate Stabilized Electroless Nickel-Boron Coatings
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Modelling and Optimization of Amphoteric Surfactant Concentration in Electroless Nickel Boron Coatings for Maximum Microhardness
TL;DR: In this article , mathematical models are developed using regression and artificial neural network techniques to relate the concentration of amphoteric surfactant (0-0.162 g/L) as an independent variable and microhardness as a dependent variable.