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- W2989446925 abstract "Abstract Now a day Nano based Natural Fiber Reinforced Polymer (NFRP) composite is important alternative material to conventional materials because of its superior characteristics. In general composite products are manufactured nearer to the required shape, but secondary operations like machining is necessary to obtain the required surface finish. Machining of NFRP composites is different than the machining of traditional materials. This paper focuses on the behavior and optimization of machining parameters on turning of Nano-Khorasan based Pineapple leaf fiber reinforced composites by using Response Surface Methodology (RSM) technique. The input factors studied are speed, feed, depth of cut and Nano-Khorasan mixing. The investigated output response was Average Surface Roughness (Ra). A Box-Behnken approach was employed to evaluate the optimum parameters to attain the minimum Ra. Based on this approach, a second order polynomial modal equation was generated for predicting response Ra. Also the relative effect of parameters on response Ra was studied by using ANOVA. The experimental result shows some interesting factors in context to the turning of Nano Khorasan based Pineapple leaf fiber reinforced polymer composites." @default.
- W2989446925 created "2019-11-22" @default.
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- W2989446925 date "2020-01-01" @default.
- W2989446925 modified "2023-10-17" @default.
- W2989446925 title "Experimental investigation on surface roughness of turned Nano-Khorasan based pineapple leaf fiber-reinforced polymer composites using response surface methodology" @default.
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- W2989446925 doi "https://doi.org/10.1016/j.matpr.2019.09.099" @default.
- W2989446925 hasPublicationYear "2020" @default.
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