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This paper represents vibration analysis of Sisal fiber reinforced epoxy based composites using Fast Fourier Transform (FFT) analyzer. The composites were prepared by melt-mixing method, followed by compression molding process. The percentage of sisal fiber is varied from 4% to 10% in steps of 2%. Thermo gravimetric analysis (TGA) is done to understand moisture absorption and moisture content. We also report vibrational analysis to understand the influence of fiber loading on natural frequency and damping coefficient.

The aim of this work is to study the influence of sisal fiber content on mechanical (i.e. tensile, flexural, impact, hardness and abrasion resistance) and thermal (i.e. TGA) properties of composites by varying the fiber and epoxy percentage. The composite was prepared by melt-mixing method, followed by compression molding process. The percentage of sisal fiber is varied from 4% to 10% in steps of 2%. Similarly epoxy content is varied from 96% to 90% in steps of 2%. Detailed mechanical Properties of Sisal Fiber Reinforced Polymer Composites have been studied. The major mechanical properties viz Tensile, Hardness, Impact, Flexural, Moisture absorption, and Moisture content are studied.

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Numerical analysis of laminar forced convective heat transfer of Al 2 O 3 -H 2 O nanofluids around a square bluff body is presented. An Eulerian-Eulerian approach-based mixture model, considering the slip velocity has been employed. Governing equations of flow and heat transfer are solved using a finite volume method (FVM) based on the SIMPLE algorithm. Nanoparticle volume fraction (φ) is varied in the range of 0-5% and the Reynolds number (Re) is varied from 10 to 40. It is observed that the heat transfer is directly proportional to the Reynolds number. At any given Reynolds number, the addition of nanoparticles resulted in enhanced heat transfer rates. The thermal field around the square cylinder is visualised using isotherms. Special attention has been given to showcase the influence of slip velocity on the heat transfer performance of nanofluids. Furthermore, it is observed that the particle diameter inversely affects the heat transfer rates irrespective of (φ) and Re. It is notable that the heat transfer characteristics are strongly influenced by the choice of the modelling approach.