Jashanpreet Singh

Properties of Glass-Fiber Hybrid Composites: A Review

ABSTRACT This paper provides a rigorous literature review in a field of glass-fiber composites. Glass-fiber composite is a type of fiber-reinforced polymer composites. Glass-fiber composite holds good properties such as low density, high strength, and easy processing, so widely used in aerospace, automotive, and construction. Fabrication of glass-fiber composite has been discussed in the present study. Combining the glass-fiber with other fibers into a single polymer matrix results in the development of hybrid glass-fiber composites. The hybridization in glass-fiber composites raised new ideas for future in the field of composites. GRAPHICAL ABSTRACT

CFD modeling of erosion wear in pipe bend for the flow of bottom ash suspension

ABSTRACT In the present study, erosion wear behavior of slurry pipeline due to solid–liquid suspension in the pipeline has been investigated using commercial computational fluid dynamics (CFD) code FLUENT. A multiphase Euler–Lagrange model was adopted to predict the solid particle erosion wear in a 90° pipe bend for the flow of bottom ash–water suspension. A standard k–ε turbulence modeling scheme was used to simulate the flow through the pipeline. Water and bottom ash were taken as liquid and as a dispersed phase of solid–liquid mixture, respectively. A simulation study for erosion wear in a pipe bend was carried out to investigate the influence of various parameters including velocity, solid concentration, and particle size. The velocity of the bottom ash–water suspension varied from 0.5 to 2.5 m/s for solid concentrations with a range of 2.5 to 10.0% (by volume). The particle diameters of the bottom ash were 162 and 300 µm. The simulation results agree with the results of previous studies.

Study on role of particle shape in erosion wear of austenitic steel using image processing analysis technique

Properties of flowing media (e.g. such as fly ash, bottom ash, coal, mineral tailings, sand slurries, etc.) play a crucial role in the service life of centrifugal slurry pump components. Generally, these solid particles vary in shape and size. In literature, a limited number of studies have been carried out to investigate the influence of particle size and shape on erosion wear. Stainless steel (SS 316L) is the most commonly used material for the fabrication of slurry pump components namely, casing, impeller, shafts, and sealing columns. In the present study, the influence of particle type and circularity factor on erosion wear of austenitic steel has been studied. A slurry pot tester (Ducom TR-41) was used to perform the experiments that established the erosion wear of slurry pump austenitic steel under the influence of the parameters noted above. Abrasives used in the current study are fly ash, bottom ash, and sand. Surface smoothness, circularity factor, coefficient of variance, sphericity, and solidity of solid particles were also analyzed prior to performing the experiments. The circularity factor value and erosion wear rate hold a power law relationship. Three-dimensional surface plots were plotted to explain the underlying mechanism of erosion wear.

Implementation of Fuzzy Logic on FORTRAN Coded Free Convection Around Vertical Tube

In present study, fuzzy logic is used to predict the free convection over a heated vertical cylindrical tube. Tube has diameter 38 mm and length 500 mm. Numerical simulation involves use of implicit finite difference scheme to solve the fluidics equations for vertical tube. Tube is imposed to a fine structural grid and appropriate boundary conditions. Properties of two fluids namely air and water vapour is used for numerical simulation. Grashof number is varied from 2.04 × 106 to 2.62 × 108 and 2.69 × 106 to 3.36 × 108 for air and water vapour respectively. A computer code in FORTRAN programming language is used to draw velocity and temperature profiles. Fuzzy Interface System Mamdani is used to evaluate output membership from different fuzzy sets. Fuzzy predicted results are found in good agreement with experiments. Rayleigh number was found 1.45 × 107 to 3.63 × 108 and 2.66 × 107 to 6.67 × 108 for air and water vapour. Fuzzy logic results confirm ±4% agreement with experimental results.