8 research outputs found

    Dry sliding wear behaviour of Ta/NbC filled glass-epoxy composites at elevated temperatures

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    In this work an attempt was made to evaluate wear loss, specific wear rate and coefficient of friction of Glass-Epoxy (G-E) composites with and without Tantalum Niobium Carbide (Ta/NbC) filler. A vacuum assisted resin transfer moulding (VARTM) technique was employed to fabricate the composite specimens. The fabricated wear specimens were tested by using pin-on-disk test rig at various temperatures viz., 30, 60, 90 and 120° C at normal applied loads of 10 N and 20 N. Sliding velocity of the disc of 1.5 m/s was maintained and test was continued for each sample up to a sliding distance of 5000 m. The wear loss in both the composites increases with increase in temperature and applied normal load. However, Ta/NbC particulate filler incorporated G-E composite exhibits lower wear rate and higher coefficient of friction as compared to unfilled G-E composite. The features of worn surfaces of the specimens were examined under scanning electron microscopy (SEM) and findings are analysed

    Erosive Wear Behaviour of WC Filled Glass Epoxy Composites

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    Tribological Properties of Basalt Fibers - A Review

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    Three Body Abrasive Wear Studies on Nanoclay/NanoTiO2 filled Basalt-Epoxy Composites

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    An investigation was made to evaluate the effect of the incorporation of nano titanium dioxide alone and in combination with nano clay on the abrasive wear behavior of basalt fabric- epoxy (BE) composites. A vacuum-assisted resin infusion (VARI) technique was employed to obtain a series of BE composites. The effect of different loads (22 and 32 N) and abrading distances from 280 to 1120 m on the performance of the wear resistance of the composites were measured.The wear volume loss increases with increasing load/abrading distance. However, the specific wear rate decreases with increase in abrading distance and increases with the load. It was revealed that the better wear resistance of the Clay-TiO2 basalt epoxy hybrid composite was due to a synergistic effect between the nano Clay-TiO2. The worn surfaces were examined using scanning electron microscopy (SEM). © 2017 Elsevier Ltd. All rights reserved

    Role of Nanofillers on Mechanical and Dry sliding Wear Behavior of Basalt- Epoxy Nanocomposites

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    Basalt fiber reinforced polymer composites are nowadays creating attention in both industrial and academic world. New developments are still under way to explore the application of these composites by tailoring their properties. The objectives of this research article is to evaluate the effect of the incorporation of Nano titanium dioxide (TiO2) alone and in combination with nano clay on the mechanical and tribological wear behaviour of Basalt fabric- Epoxy (BE) composites. A vacuum-assisted resin infusion technique (VARI) was employed to obtain a series of BE composites. The mechanical properties, including tensile strength, tensile modulus, elongation at break, and surface hardness, were investigated in accordance with ASTM standards. From the experimental investigation, it was found that the tensile strength and dimensional stability of the B-E composite increased with increasing fillers. The effect of different loads (10 to 30 N) and sliding distances from 2000 to 8000 m on the performance of the wear resistance of the composites were measured. Slight increase in coefficient of friction for nano Clay-BE composite, reduction of coefficient of friction was noticed for the nano TiO2 and TiO2/Clay filler filled composites. The wear loss of the composites decreased with addition of fillers and increased with increasing sliding distance. Failure mechanisms of the worn surfaces of the filled and unfilled composites were examined with SEM. © 2017 Elsevier Ltd. All rights reserved

    An assessment of variability generated in F2 generation of four crosses of finger millet (Eleusine coracana (Gaertn))

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    Improvement of economic characters like yield through selection is conditioned by the nature and magnitude ofvariability existing in such populations. However, the phenotypic expression of complex character like yield is acombination of genotype, environment and their interaction. This indicates the need for partition of overall variability intoheritable and non-heritable components with the help of appropriate statistical techniques. The results of this investigationcarried out in F2 generation of four crosses of finger millet to quantify the variability created along with heritability andgenetic advances for important yield and attributing characters. In general moderate to high broad sense heritability wasobserved for days to fifty per cent flowering, finger length, 1000 seed weight, whereas high broad sense heritability wasobserved for plant height, total tillers per plant and number of productive tillers per plant. A very high genetic advance wasobserved for total tillers per plant, productive tillers per plant, finger number per main ear, finger length and weight of mainear. Moderate to low genetic advance for plant height, days to fifty per cent flowering and 1000 seed weight were observed

    Sustainable cooling and heating in smart cities using solar energy system planning

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    In order to reduce waste and boost efficiency, smart cities must first and foremost eliminate trash. Effectiveness can be demonstrated in virtually any field of endeavour by saving energy, reducing energy intensity, sustaining economic growth, increasing productivity, protecting the environment, and collaborating in the battle against climate change. Because of a lack of money and technological capabilities, smart and sustainable city goals are difficult for impoverished towns to achieve. The study aims at finding the renewable energy solutions with energy efficiency and that should be technically feasible and practicable in poor communities in order to improve living conditions and overall life quality in these communities. In this paper, we use Naïve Bayes classifier to classify the input data to find the situation in which the climate can be maintained in such a way that it reduces the burden of environment in smart cities. The results of simulation shows that the Naïve Bayes classifier is effective enough in building sustainable environment with various tests
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