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Kākināda, India

Naik M.T.,JNTUH College of Engineering | Ranga Janardhana G.,JNTUK
International Journal of Nanoparticles | Year: 2010

Nanofluids are new generation heat transfer fluids and are preferred over conventional fluids for heat transfer applications. Nanofluids are characterised by their enhanced thermal conductivities, high energy density and better heat transfer capabilities than the base fluids without nanoparticles. Glycol based fluids exhibit an anti-freezing characteristics at sub zero temperatures and hence widely used in heat exchangers in cold regions. In the present experimental work, CuO nanoparticles of size less than 50 nm are suspended in the base fluid of propylene glycol-water (60:40 by volume) mixture, in the range of 0.025, 0.1, 0.4, 0.8 and 1.2% volume fraction and CuO nanofluids were prepared. The effective thermal conductivity of nanofluids for different particle volume concentration is measured at different temperatures of nanofluids. The experimental results obtained show that thermal conductivity of nanofluids increases with increase in temperature and particle volume concentration of nanofluids. The conductivity data obtained in present investigation are compared with conductivity models and correlations available in the literature. © 2010 Inderscience Enterprises Ltd.

Pavanipadmapriya B.,JNTUK
International Journal of ChemTech Research | Year: 2013

A simple, precise and sensitive procedure for simultaneous estimation of ciprofloxacin and tinidazole in two component tablets has been developed using 50% v/v glacial acetic acid. The absorbance maxima of ciprofloxacin and tinidazole are 281.7 nm and 310.9 nm respectively. Both the drugs obey Beer's Law in the concentration ranges employed for the proposed method. The results of analysis have been validated statistically and by the recovery studies. The method showed no interference by the compounds from each other when applied to formulation by means of UV-VIS spectroscopy and can be applied for routine simultaneous estimation of both drugs.

Venkata Rao K.,Vignan University | Murthy B.S.N.,Gandhi Institute of Technology and Management | Mohan Rao N.,JNTUK
Measurement: Journal of the International Measurement Confederation | Year: 2013

The vibration is one of the intensive problems in boring process. Machining and tool wear are affected more by vibration of tool due to length of boring bar. The present work is to estimate the effect of cutting parameters on work piece vibration, roughness on machined surface and volume of metal removed in boring of steel (AISI1040). A laser Doppler vibrometer (LDV) was used for online data acquisition and a high-speed FFT analyzer used to process the AOE signals for work piece vibration. A design of experiments was prepared with eight experiments with two levels of cutting parameters such as spindle rotational speed, feed rate and tool nose radius. Taguchi method has been used to optimize the cutting parameters and a multiple regression analysis is done to obtain the empirical relation of Tool life with roughness of machined surface, volume of metal removed and amplitude of work piece vibrations. © 2013 Elsevier Ltd. All rights reserved.

Vakula V.S.,JNTUK | Sudha K.R.,Andhra University
Journal of Intelligent and Fuzzy Systems | Year: 2015

This paper presents an analysis on dynamic performance of a three area Interconnected power system. Each area considered with effect of boiler dynamics, governor deadband and Generation Rate Constraints when subjected to parametric uncertainties. The evolution of more socialized companies for generation, transmission and distribution affects the formulation of Load Frequency Control problem. The concept of DISCOM participation matrix to simulate these bilateral contracts is introduced and reflected in the three-area block diagram. The scaling factors which transform the scaled input-output real values to required value in decision limit are tuned using Differential Evolution Algorithm. The series of control rules in Fuzzy logic approach are made to cover all possible combinations of the 'm'-input variables with 'n'-membership functions will be of 'nm' in number. The number of membership functions of the output fuzzy set will be (3n ? 2) for n ≥ 3. The present paper investigates the performance of a structure preserving controller in a three area Interconnected power system in deregulated environment. © 2015 - IOS Press and the authors. All rights reserved.

Venkata Rao K.,Vignan University | Murthy B.S.N.,Gandhi Institute of Technology and Management | Mohan Rao N.,JNTUK
Measurement: Journal of the International Measurement Confederation | Year: 2014

Machining of stainless steel is difficult due to their hardening tendency. In boring of stainless steels, tool wear and surface roughness are affected by vibration of boring bar. In this paper, tool wear, surface roughness and vibration of work piece were studied in boring of AISI 316 steel with cemented carbide tool inserts. A Laser Doppler Vibrometer was used for online data acquisition of work piece vibration and a high-speed Fast Fourier Transform analyzer was used to process the acousto optic emission signals for the work piece vibration. Experimental data was collected and imported to artificial neural network techniques. A multilayer perceptron model was used with back-propagation algorithm using the input parameters of nose radius, cutting speed, feed and volume of material removed. The artificial neural network was used to predict surface roughness, tool wear and amplitude of work piece vibration. The predicted values were compared with the collected experimental data and percentage error was computed. © 2014 Elsevier Ltd. All rights reserved.

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