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Search Results: 1 - 10 of 406889 matches for " P.V.K.Murthy "
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Performance of Biodiesel in Low Heat Rejection Diesel Engine with Catalytic Converter
N. Janardhan,P.Ushasri,M.V.S. Murali Krishna,P.V.K.Murthy
International Journal of Engineering and Advanced Technology , 2012,
Abstract: Investigations were carried out to evaluate the performance of a low heat rejection (LHR) diesel engine consisting of air gap insulated piston with 3-mm air gap, with superni (an alloy of nickel) crown and air gap insulated liner with superni insert with different operating conditions of jatropha oil based bio-diesel with varied injection timing and injection pressure. Performance parameters were determined at various values of brake mean effective pressure (BMEP) of the engine. The effect of void ratio, temperature of catalyst, space velocity on the reduction of oxides of nitrogen (NOx) in the exhaust of the engines was studied. Exhaust emissions of smoke and oxides of nitrogen (NOx) were determined at various values of BMEP. The emission levels of NOx in LHR engine were controlled by means of the selective catalytic reduction technique using lanthanum ion exchanged zeolite (catalyst-A) and urea infused lanthanum ion exchanged zeolite (catalyst-B) with different versions of the engine at peak load operation of the engine. Conventional engine (CE) showed deteriorated performance, while LHR engine showed improved performance with bio-diesel at recommended injection timing of 27obTDC (before top dead centre) and pressure of 190 bar. The performance of both version of the engine improved with advanced injection timing and higher injection pressure when compared with CE with pure diesel operation. Peak brake thermal efficiency increased by 10%, smoke levels decreased by 15% and NOx levels increased by 41% with vegetable oil operation on LHR engine at its optimum injection timing, when compared with pure diesel operation on CE at 27obTDC and 190 bar. NOx emissions reduced by 40-50% by this technique with catalyst-A and catalyst-B.
Exhaust Emissions and Combustion Characteristics of Jatropha Oil in Crude Form and Biodiesel of Low Heat Rejection Diesel Engine
N.Janardhan,P.Ushashri,M.V.S.Murali Krishna,P.V.K.Murthy
International Journal of Soft Computing & Engineering , 2013,
Abstract: —Investigations were carried out to study the exhaust emissions of a low heat rejection (LHR) diesel engine consisting of air gap insulated piston with 3-mm air gap, with superni (an alloy of nickel) crown, air gap insulated liner with superni insert and ceramic coated cylinder head with different operating conditions of crude jatropha oil (CJO) and biodiesel with varied injection timing and injection pressure. Performance parameters and exhaust emissions were determined at various values of brake mean effective pressure (BMEP) with different versions of the engine with varied injection timing and injection pressure with different operating conditions of jatropha oil in crude form and biodiesel. Combustion characteristics of the engine were measured with TDC (top dead centre) encoder, pressure transducer, console and special pressure-crank angle software package at peak load operation of the engine. Conventional engine (CE) showed deteriorated performance, while LHR engine showed improved performance with crude vegetable operation at recommended injection timing and pressure and the performance of both version of the engine improved with advanced injection timing and higher injection pressure when compared with CE with pure diesel operation. Relatively, smoke levels decreased by 27% and NOx levels increased by 49% with crude vegetable oil operation on LHR engine at its optimum injection timing, when compared with pure diesel operation on CE at manufacturer’s recommended injection timing. Biodiesel operation further decreased smoke levels and increased NOx emissions.
Performance Evaluation of Mohr Oil Based Biodiesel in Low Grade Low Heat Rejection Diesel Engine
T.RATNA REDDY,M.V.S.MURALI KRISHNA,CH. KESAVA REDDY,P.V.K.MURTHY
International Journal of Innovative Research in Science, Engineering and Technology , 2013,
Abstract: Investigations were carried out to evaluate the performance of a low grade low heat rejection (LHR) diesel engine with ceramic coated cylinder head with 3-mm air gap with different operating conditions [normal temperature and pre-heated temperature] of mohr oil based biodiesel (MOBD) with varied injection pressure and injection timing. Performance parameters of brake thermal efficiency, exhaust gas temperature, volumetric efficiency and sound intensity were determined at various values of brake mean effective pressure (BMEP).Exhaust emissions of smoke and oxides of nitrogen (NOx) were recorded at the various values of BMEP. Combustion characteristics at peak load operation of the engine were measured with TDC (top dead centre) encoder, pressure transducer, console and special pressure-crank angle software package. Conventional engine (CE) showed compatible performance, while LHR engine showed marginally increased performance with MOBD operation at recommended injection timing and pressure. The performance of both version of the engine improved with advanced injection timing and at higher injection pressure when compared with CE with pure diesel operation. The optimum injection timing was 33obTDC for CE while it was 29.5obTDC with LHR engine with MOBD operation. Peak brake thermal efficiency increased by 13%, at peak load operation- brake specific energy consumption (BSEC), coolant load, volumetric efficiency, smoke levels and sound intensity decreased by 4%, 15%, 7%, 27%, 24% respectively while NOx levels increased by 47% with MOBD operation on LHR engine at its optimum injection timing when compared with diesel operation on CE at manufacturer’s recommended injection timing of 27obTDC. (Before top dead centre)
Optimization of the Properties of Electrodeposited Ni-YSZ Composites Using Taguchi Method and Regression Analysis
S.T. Aruna,P.V.K. Srikanth,M. Jamil Ahamad,S. Latha
Portugaliae Electrochimica Acta , 2011,
Abstract: Properties of electrodeposited Ni-composite coatings containing ceramic particles are very much dependant on the bath used, current density, duration of deposition, particle content in the bath, etc. In the present study, the influence of process parameters like the concentration of particles, current density and time of deposition on the area fraction of yttria stabilized zirconia (YSZ), the microhardness and the thickness of the electrodeposited nickel (Ni)-YSZ composite coating was analyzed by Taguchi Design method and analysis of variance (ANOVA). According to the experimental results and ANOVA, the interaction of current and time are the most significant factors influencing the thickness of the coating; interaction of concentration of particles in the electrolyte bath and current are the most significant factors influencing the microhardness; and concentration of particles in the electrolyte bath is the most significant factor affecting the area fraction of particles in the Ni matrix. Models were developed for predicting the microhardness and thickness of the composite coating and area fraction of particles incorporated in the nickel matrix. They were found to be in good agreement with the experimental results. The models were tested for experimental conditions and were found to be close to predicted values. The thickness of the deposit was mainly dependent on the current density and duration of plating. On the other hand, the microhardness of the coating and area fraction of particles present in the nickel matrix were mainly dependent on the amount of particles present in the bath.
Optimization of the Properties of Electrodeposited Ni-YSZ Composites Using Taguchi Method and Regression Analysis
Aruna,S.T.; Srikanth,P.V.K.; Ahamad,M. Jamil; Latha,S.; Rajam,K.S.;
Portugaliae Electrochimica Acta , 2011,
Abstract: properties of electrodeposited ni-composite coatings containing ceramic particles are very much dependant on the bath used, current density, duration of deposition, particle content in the bath, etc. in the present study, the influence of process parameters like the concentration of particles, current density and time of deposition on the area fraction of yttria stabilized zirconia (ysz), the microhardness and the thickness of the electrodeposited nickel (ni)-ysz composite coating was analyzed by taguchi design method and analysis of variance (anova). according to the experimental results and anova, the interaction of current and time are the most significant factors influencing the thickness of the coating; interaction of concentration of particles in the electrolyte bath and current are the most significant factors influencing the microhardness; and concentration of particles in the electrolyte bath is the most significant factor affecting the area fraction of particles in the ni matrix. models were developed for predicting the microhardness and thickness of the composite coating and area fraction of particles incorporated in the nickel matrix. they were found to be in good agreement with the experimental results. the models were tested for experimental conditions and were found to be close to predicted values. the thickness of the deposit was mainly dependent on the current density and duration of plating. on the other hand, the microhardness of the coating and area fraction of particles present in the nickel matrix were mainly dependent on the amount of particles present in the bath.
Experimental Investigations on the Duel Fueled Diesel Engine
K. Thirupathi Reddy,P. Ram Reddy,P.V. Ramana Murthy
Asian Journal of Scientific Research , 2008,
Abstract: In the present study, a four stroke, five horse power diesel engine was tested with two different fuel blends. In the first case, diesel-kerosene blends and in the second case, air and Liquefied Petroleum Gas (LPG) mixture along with diesel was tested at constant engine speed of 1500 rpm. Different engine exhaust emissions were compared using pure diesel, diesel-kerosene blends and air-LPG mixtures. With diesel-kerosene blends minimum exhaust emissions were observed at 30% kerosene blend, when compared with pure diesel emissions. Slight increase in the NOx exhaust emission was observed. With air-LPG mixtures, minimum exhaust emissions were observed at 11% LPG mixing. However, increase in NOx exhaust emission was observed. Engine performance improved and Specific Fuel Consumption (SFC) was observed to be minimal at 30% kerosene blending and decreased as compared to pure diesel value at the same brake power output. SFC was also observed to be minimum at 11% LPG mix and decreased by about 20% as compared to pure diesel value at the same brake power output. The fuel operating cost also reduced at 30% kerosene blend and further reduced at 23% LPG mixing with air.
Pattern Emission by Nobelium Streams
SarathChand P.V,VenuMadhav K,Nagamani K,Jyotsna A
International Journal of Information and Communication Technology Research , 2011,
Abstract: The business requirements of an enterprise at a given time depend on the business requirements of the enterprise, the available technology at that time and also with the accumulated investments of the enterprise from the past technologies. Generally the business requirements of the business are constantly changing and the changes are at an exponential rate. The technology has advanced by delivering the exponential increase in the computational power and the communicational capabilities and the design of the data ware houses. The paper concentrates on the Enterprise Architecture thus far have displayed and the general inability to gracefully evolve the line with the business requirements and without compromising the prior technologies, investments and seriously the limiting factors of the organization to evolve further. The handling features of data retrieval methods are compromising the development mechanisms in the database systems and with many new applications. The paper illustrates the new knowledge discovery techniques. The paper mainly concentrates on the new buzzwords, new methodologies and evaluate the new tools which maintains the ties with technology partners. Now-a-days the data bases must first shift to the puzzle technology to find the pieces that meet the needs of the business enterprise then integrate the new pieces with the existing ones to form a coherent whole. The paper is mainly concentrates on the recognition of data retrieval methods in the form of patterns by using the existing technologies. The pattern emission is performed by a flow of data at a time which are streams. The data is retrieved in the form of streams so that un-necessary data can be avoided with the pattern matching and the methods of retrieval of data in a very fast and efficient manner.
A METHOD TO IMPROVE RELIABILITY OF GEARBOX FAULT DETECTION WITH ARTIFICIAL NEURAL NETWORKS
P.V. Srihari,K. Govindarajulu,K. Ramachandra
International Journal of Automotive and Mechanical Engineering , 2010,
Abstract: Fault diagnosis of gearboxes plays an important role in increasing the availability of machinery in condition monitoring. An effort has been made in this work to develop an artificial neural networks (ANN) based fault detection system to increase reliability. Two prominent fault conditions in gears, worn-out and broken teeth, are simulated and five feature parameters are extracted based on vibration signals which are used as input features to the ANN based fault detection system developed in MATLAB, a three layered feed forward network using a back propagation algorithm. This ANN system has been trained with 30 sets of data and tested with 10 sets of data. The learning rate and number of hidden layer neurons are varied individually and the optimal training parameters are found based on the number of epochs. Among the five different learning rates used the 0.15 is deduced to be optimal one and at that learning rate the number of hidden layer neurons of 9 was the optimal one out of the three values considered. Then keeping the training parameters fixed, the number of hidden layers is varied by comparing the performance of the networks and results show the two and three hidden layers have the best detection accuracy.
EFFECT OF DREDGING AND TIE-ROD ANCHOR ON THE BEHAVIOUR OF BERTHING STRUCTURE
PREMALATHA, P.V.,,MUTHUKKUMARAN, K,,JAYABALAN, P
International Journal of Engineering Science and Technology , 2011,
Abstract: This paper deals with a numerical study on pile group supporting the berthing structures subjected to berthing/mooring forces and the forces arised due to dredging operations. A 2D Finite Element Model isdeveloped using the geotechnical software Plaxis and is validated using the theoretical solution. Three different slopes such as 1V:3H, 1V:2H and 1V:1.5H are considered to simulate the actual field condition in berthing structure. The effect of berthing/mooring forces and the effect due to dredging operations on the pile groups are investigated with and without tie-rod anchors. The bending moment variation along the length of the piles and, the load-deflection behavior of piles are presented. Using the developed FE model, a real time berthing structure located in India is analyzed as a case study. The case study is used to assess the optimum tie-rod length required for the actual installation. This paper present the FE model description, analyses results, theoretical predictions and, the effect of dredging operations and the tie-rod in berthing structure.
Binding of levomepromazine and cyamemazine to human recombinant dopamine receptor subtypes
Srivastava,Lalit K.; Nair,Neelakanta P.V.; Lal,Samarthji;
The European Journal of Psychiatry , 2009, DOI: 10.4321/S0213-61632009000300003
Abstract: background and objectives: clozapine (cloz) and levomepromazine (lmp) improve treatment-resistant schizophrenia. the superior efficacy of cloz compared with other antipsychotic agents has been attributed to an effect on d1-like and d4 receptors. we examined the binding of lmp, cloz and cyamemazine (cmz), a neuroleptic analog of lmp, to human recombinant dopamine (rda) receptor subtypes. methods: binding studies were performed on frozen membrane suspensions of human rda receptor subtypes expressed in sf9 cells. results: (i) lmp has a high affinity (ki, nm) for rd2 receptor subtypes (rd2l 8.6; rd2s 4.3; rd3 8.3; rd4.2 7.9); (ii) lmp and cloz have comparable affinities for the rd1 receptor (54.3 vs 34.6); (iii) cmz has high affinities for rd2-like and rd1-like receptors (rd2l 4.6; rd2s 3.3; rd3 6.2; rd4.2 8.5; rd1 3.9; rd5 10.7); (iv) cmz is 9 times more potent than cloz at the rd1 receptor and 5 times more potent than cloz at the rd4.2 receptor; (v) cmz has high affinities for rd1 and rd5 receptor subtypes compared with lmp and cloz. conclusions: if d1 and d4 receptors are important sites for the unique action of cloz, the present study points to a need for clinical trials comparing cmz with cloz in schizophrenia and in particular, treatment-resistant schizophrenia, especially given the risk for agranulocytosis with cloz.
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