National Institute of Technology Warangal
Warangal, India

National Institute of Technology, Warangal is one of the premier federally funded technical institutes in India. It is located on either side of Hyderabad - Warangal highway at a distance of 3 km from Kazipet Railway Station and 12 km from Warangal Railway Station. Warangal is a town situated 148 km north of Hyderabad. Formerly known as the Regional Engineering College, Warangal , it is the first among the 17 Regional Engineering Colleges established in India and the institute's foundation stone was laid in 1959 by the then Prime Minister Pandit Jawaharlal Nehru. The institute was renamed as the National Institute of Technology, Warangal in September, 2002.Today it is one of the Institutes of National Importance established by the Government of India, awarding bachelors, masters and doctoral degrees in engineering, technology, basic science and management. Wikipedia.

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Evangeline B.,National Institute of Technology Warangal | Abdul Azeem P.,National Institute of Technology Warangal
Materials Today: Proceedings | Year: 2016

CaZrO3 nanophosphors are synthesized by a citrate based sol-gel method. The prepared powders are annealed at different temperatures and are characterized by XRD, FE-SEM,FTIR andPL spectroscopy techniques to study the structural and luminescence properties. Comparative studies are made to optimize the temperature. From XRD pattern well resolved peaks are obtained at 900°C with orthorhombic structure. FE-SEM images show agglomerated nature. The average size of the particles is calculated by TEM for the sample annealed at 900°C. Under 250 nm excitation, three emission bands occurred with maximum intensity at 392 nm. © 2016 Elsevier Ltd. All rights reserved.

Bhanvase B.A.,Institute of Chemical Technology | Sonawane S.H.,National Institute of Technology Warangal
Chemical Engineering and Processing: Process Intensification | Year: 2014

This review covers an ultrasound assisted synthesis of polymer nanocomposites using in situ emulsion polymerization. First of all, surface modification of core nanoparticles with a coupling agent and surfactant has been employed for the synthesis of core-shell polymer nanocomposites. In addition to application of ultrasound for the synthesis of core-shell polymer nanocomposites, due to its influential efficiency, sonochemistry has been extensively used not only as an aid of dispersion for inorganic nanoparticles and organo-clay, but also acts as an initiator to enhance polymerization rate for synthesis of polymer nanocomposites. In situ emulsion polymerization of hydrophobic monomers, such as methyl methacrylate, butyl acrylate, aniline, vinyl monomers and styrene, using surfactant and water soluble initiator were carried out for a synthesis of core-shell polymer nanocomposite. This technique assists in preparation of stable and finely dispersed polymer nanocomposite with the loading of inorganic particles up to 5. wt.%. Recent developments in the preparation of core-shell polymer nanocomposites using an ultrasound assisted method with their physical characteristics such as morphology, thermal, and rheological properties and their potential engineering applications have been discussed in this review. © 2014 Elsevier B.V.

Mishra S.K.,Birla Institute of Technology | Panda G.,Indian Institute of Technology Bhubaneswar | Majhi R.,National Institute of Technology Warangal
Swarm and Evolutionary Computation | Year: 2014

This paper addresses a realistic portfolio assets selection problem as a multiobjective optimization one, considering the budget, floor, ceiling and cardinality as constraints. A novel multiobjective optimization algorithm, namely the non-dominated sorting multiobjective particle swarm optimization (NS-MOPSO), has been proposed and employed efficiently to solve this important problem. The performance of the proposed algorithm is compared with four multiobjective evolution algorithms (MOEAs), based on non-dominated sorting, and one MOEA algorithm based on decomposition (MOEA/D). The performance results obtained from the study are also compared with those of single objective evolutionary algorithms, such as the genetic algorithm (GA), tabu search (TS), simulated annealing (SA) and particle swarm optimization (PSO). The comparisons of the performance include three error measures, four performance metrics, the Pareto front and computational time. A nonparametric statistical analysis, using the Sign test and Wilcoxon signed rank test, is also performed, to demonstrate the superiority of the NS-MOPSO algorithm. On examining the performance metrics, it is observed that the proposed NS-MOPSO approach is capable of identifying good Pareto solutions, maintaining adequate diversity. The proposed algorithm is also applied to different cardinality constraint conditions, for six different market indices, such as the Hang-Seng in Hong Kong, DAX 100 in Germany, FTSE 100 in UK, S&P 100 in USA, Nikkei 225 in Japan, and BSE-500 in India. © 2014 Elsevier B.V.

Kedika B.,National Institute of Technology Warangal | Patri S.V.,National Institute of Technology Warangal
Journal of Medicinal Chemistry | Year: 2011

Herein, we report on the design, synthesis, and in vitro gene delivery efficacies of five novel tocopherol based cationic lipids (1-5) in transfecting CHO, B16F10, A-549, and HepG2 cells. The in vitro gene transfer efficiencies of lipids (1-5) were evaluated by both β-galactosidase reporter gene expression and inverted fluorescent microscopic experiments. The results of the present structure-activity investigation convincingly demonstrate that the tocopherol based lipid with three hydroxyl groups in its headgroup region showed 4-fold better transfection efficiency than the commercial formulation. The results also demonstrate that these tocopherol based lipids may be targeted to liver. Transfection efficiency of all the relevant lipids was maintained even when the serum was present during the transfection conditions. The results indicated that the designed systems are quite capable of transferring the DNA into all four types of cells studied with low or no toxicity. © 2010 American Chemical Society.

Kumar S.,National Institute of Technology Warangal | Surendar T.,National Institute of Technology Warangal | Baruah A.,Indian Institute of Technology Delhi | Shanker V.,National Institute of Technology Warangal
Journal of Materials Chemistry A | Year: 2013

A facile and reproducible template free in situ precipitation method has been developed for the synthesis of Ag3PO4 nanoparticles on the surface of a g-C3N4 photocatalyst at room temperature. The g-C3N4-Ag3PO4 organic-inorganic hybrid nanocomposite photocatalysts were characterized by various techniques. TEM results show the in situ growth of finely distributed Ag3PO4 nanoparticles on the surface of the g-C 3N4 sheet. The optimum photocatalytic activity of g-C 3N4-Ag3PO4 at 25 wt% of g-C 3N4 under visible light is almost 5 and 3.5 times higher than pure g-C3N4 and Ag3PO4 respectively. More attractively, the stability of Ag3PO4 was improved due to the in situ deposition of Ag3PO4 nanoparticles on the surface of the g-C3N4 sheet. The improved performance of the g-C3N4-Ag3PO 4 hybrid nanocomposite photocatalysts under visible light irradiation was induced by a synergistic effect, including high charge separation efficiency of the photoinduced electron-hole pair, the smaller particle size, relatively high surface area and the energy band structure. Interestingly, the heterostructured g-C3N4-Ag3PO4 nanocomposite significantly reduces the use of the noble metal silver, thereby effectively reducing the cost of the Ag3PO4 based photocatalyst. © 2013 The Royal Society of Chemistry.

Venkaiah C.,National Institute of Technology Warangal | Vinod Kumar D.M.,National Institute of Technology Warangal
Applied Soft Computing Journal | Year: 2011

This paper presents a new method of fuzzy adaptive bacterial foraging (FABF) based congestion management (CM) for the first time by optimal rescheduling of active powers of generators selected based on the generator sensitivity to the congested line. In the proposed method, generators are selected based on their sensitivity to the congested line to utilize the generators efficiently and optimal rescheduling of the active powers of the participating generators was attempted by FABF. The FABF algorithm is tested on IEEE 30-bus system and Practical Indian 75-bus system and the results are compared with the Simple Bacterial Foraging (SBF) and Particle Swarm Optimization (PSO) algorithms for robustness and effectiveness of congestion management. It is observed from the results that FABF is effectively minimizing the cost of generation in comparison with SBF and PSO for optimal rescheduling of generators to relieve congestion in the transmission line. © 2011 Elsevier B.V. All rights reserved.

Tanna T.,National Institute of Technology Warangal | Sachan V.,National Institute of Technology Warangal
Current Stem Cell Research and Therapy | Year: 2014

Mesenchymal Stem Cells or Marrow Stromal Cells (MSCs) have long been viewed as a potent tool for regenerative cell therapy. MSCs are easily accessible from both healthy donor and patient tissue and expandable in vitro on a therapeutic scale without posing significant ethical or procedural problems. MSC based therapies have proven to be effective in preclinical studies for graft versus host disease, stroke, myocardial infarction, pulmonary fibrosis, autoimmune disorders and many other conditions and are currently undergoing clinical trials at a number of centers all over the world. MSCs are also being extensively researched as a therapeutic tool against neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Amyotrophic Lateral Sclerosis (ALS), Huntington’s disease (HD) and Multiple Sclerosis (MS). MSCs have been discussed with regard to two aspects in the context of neurodegenerative diseases: their ability to transdifferentiate into neural cells under specific conditions and their neuroprotective and immunomodulatory effects. When transplanted into the brain, MSCs produce neurotrophic and growth factors that protect and induce regeneration of damaged tissue. Additionally, MSCs have also been explored as gene delivery vehicles, for example being genetically engineered to over express glial-derived or brain-derived neurotrophic factor in the brain. Clinical trials involving MSCs are currently underway for MS, ALS, traumatic brain injuries, spinal cord injuries and stroke. In the present review, we explore the potential that MSCs hold with regard to the aforementioned neurodegenerative diseases and the current scenario with reference to the same. © 2014 Bentham Science Publishers

Reddy B.V.,National Institute of Technology Warangal | Somasekhar V.T.,National Institute of Technology Warangal
IEEE Transactions on Industrial Informatics | Year: 2013

A four-level inverter drive could be obtained by feeding an open-end winding induction motor by two two-level inverters from either side with unequal dc-link voltages, which are in the ratio of 2:1. This inverter modulation scheme is capable of producing 64 space-vector combinations. Some of the space vector combinations could result in the overcharging of the dc-link capacitor corresponding to the inverter operating with the lower voltage. In this paper, a new power circuit topology is proposed, in which, a rectifier-inverter combination is nested within a conventional two-level inverter configuration. The output of the conventional two-level inverter feeds one end of the open-end winding induction motor, while the output of the nested rectifier-inverter combination feeds the other end. The total dc-link voltage needed in the proposed topology is only 77% of the one needed in the conventional multilevel inverters. Also, the problem of zero-sequence current, commonly encountered in open-end winding induction motor drives, is avoided by resorting to a decoupled space vector modulation PWM scheme, which eliminates the zero-sequence voltage of the dual-inverter system by forcing the sampled average of the zero sequence voltage of individual inverters to zero. © 2012 IEEE.

Bhavanam A.,National Institute of Technology Warangal | Sastry R.C.,National Institute of Technology Warangal
Bioresource Technology | Year: 2015

The pyrolysis characteristics of municipal solid waste, agricultural residues such as ground nut shell, cotton husk and their blends are investigated using non-isothermal thermogravimetric analysis (TGA) with in a temperature range of 30-900°C at different heating rates of 10°C, 30°C and 50°C/min in inert atmosphere. From the thermograms obtained from TGA, it is observed that the maximum rate of degradation occurred in the second stage of the pyrolysis process for all the solid wastes. The distributed activation energy model (DAEM) is used to study the pyrolysis kinetics of the solid wastes. The kinetic parameters E (activation energy), k0 (frequency factor) are calculated from this model. It is found that the range of activation energies for agricultural residues are lower than the municipal solid waste. The activation energies for the municipal solid waste pyrolysis process drastically decreased with addition of agricultural residues. The proposed DAEM is successfully validated with TGA experimental data. © 2014 Elsevier Ltd.

Kumari M.S.,National Institute of Technology Warangal | Maheswarapu S.,National Institute of Technology Warangal
International Journal of Electrical Power and Energy Systems | Year: 2010

Optimal Power Flow (OPF) is used for developing corrective strategies and to perform least cost dispatches. In order to guide the decision making of power system operators a more robust and faster OPF algorithm is needed. OPF can be solved for minimum generation cost, that satisfies the power balance equations and system constraints. But, cost based OPF solutions usually result in unattractive system losses and voltage profiles. In the present paper the OPF problem is formulated as a multi-objective optimization problem, where optimal control settings for simultaneous minimization of fuel cost and loss, loss and voltage stability index, fuel cost and voltage stability index and finally fuel cost, loss and voltage stability index are obtained. The present paper combines a new Decoupled Quadratic Load Flow (DQLF) solution with Enhanced Genetic Algorithm (EGA) to solve the OPF problem. A Strength Pareto Evolutionary Algorithm (SPEA) based approach with strongly dominated set of solutions is used to form the pareto-optimal set. A hierarchical clustering technique is employed to limit the set of trade-off solutions. Finally a fuzzy based approach is used to obtain the optimal solution from the tradeoff curve. The proposed multi-objective evolutionary algorithm with EGA-DQLF model for OPF solution determines diverse pareto optimal front in just 50 generations. IEEE 30 bus system is used to demonstrate the behavior of the proposed approach. The obtained final optimal solution is compared with that obtained using Particle Swarm Optimization (PSO) and Fuzzy satisfaction maximization approach. The results using EGA-DQLF with SPEA approach show their superiority over PSO-Fuzzy approach. © 2010 Elsevier Ltd. All rights reserved.

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