Shivani Engineering College

Tiruchirappalli, India

Shivani Engineering College

Tiruchirappalli, India

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Jeevarenuka K.,Shivani Engineering College | Pillai G.S.,Alagappa Chettiar College of Engineering And Technology | Hameed P.S.,Alagappa Chettiar College of Engineering And Technology | Mathiyarasu R.,Indira Gandhi Center for Atomic Research
Journal of Radioanalytical and Nuclear Chemistry | Year: 2014

The activity concentrations and absorbed gamma dose of primordial radionuclides 238U, 232Th and 40K were determined employing γ-ray spectrometry in 31 soil samples from the land area earmarked for house construction in Perambalur district and 14 rock samples from quarries that supply stones for the entire district. The soil samples registered relatively a higher mean value of 13.2 Bq kg−1 for 238U, 66 Bq kg−1 for 232Th and 340.3 Bq kg−1 for 40K as compared to mean values for rock samples (238U—8.0 Bq kg−1; 232Th—65.1 Bq kg−1; 40K—199.1 Bq kg−1). The mean absorbed gamma dose rate for soil (61.4 nGy h−1) marginally exceeded the prescribed limit of 55 nGy h−1 while, rocks registered the mean absorbed gamma dose rate of 10.4 nGy h−1. The mean radium equivalent activity was distinctly higher in soil (130.6 Bq kg−1) than in rock (20.0 Bq kg−1). However, these values were lower than the limit (370 Bq kg−1) set by OECD for building materials. It is evident from the data that the soil and rocks do not pose any radiological risk for house constructions in Perambalur district. © 2014, Akadémiai Kiadó, Budapest, Hungary.


Jothiprakash V.,Indian Institute of Technology Bombay | Shanthi G.,Shivani Engineering College | Arunkumar R.,Indian Institute of Technology Bombay
Water Resources Management | Year: 2011

A genetic algorithm (GA) and a backward moving stochastic dynamic programming (SDP) model has been developed for derivation of operational policies for a multi-reservoir system in Kodaiyar River Basin, Tamil Nadu, India. The model was developed with the objective of minimizing the annual sum of squared deviation of desired target releases. The total number of population, crossover probability and number of generations of the GA model was optimized using sensitivity analysis, and penalty function method was used to handle the constraints. The policies developed using the SDP model was evaluated using a simulation model with longer length of inflow data generated using monthly time stepped Thomas-Fiering model. The performance of the developed policies were evaluated using the performance criteria namely, the monthly frequency of irrigation deficit (MFID), Monthly average irrigation deficit (MAID), Percentage monthly irrigation deficit (PMID), Annual frequency of irrigation deficit (AFID), Annual average irrigation deficit (AAID), and Percentage annual irrigation deficit (PAID). Based on the performance, it was concluded that the robostic, probabilistic, random search GA resulted in better optimal operating policies for a multi-reservoir system than the SDP models. © 2011 Springer Science+Business Media B.V.


Idhayadhulla A.,Thiruvalluvar University | Manilal A.,Arba Minch University | Merdekios B.,Arba Minch University | Surendra Kumar R.,Shivani Engineering College
Journal of Applied Pharmaceutical Science | Year: 2015

Synthesis of pyrrole 1-3 and 1,4-dihydropyridine derivatives 4-6 were prepared from condensation method and synthesized compounds were screened for environmental biotoxicity such as Brine shrimp cytotoxicity, Ichthyotoxic, Larvicidal and Nematicidial activities. Among the compounds 3 and 6 shows that highly toxic (LD50: 8.72 and 12.30 μg/mL) against Brain shrimp cytotoxic screening and compound 3 and 6 was highly toxicity ( LD50: 5.01 and 7.75 μg/mL) against Antifeedant screening (ichthyotoxic profile). The compounds 3 and 6 was highly active (LD50: 12.88 μg/mL, and 14.79 μg/mL) against Larvicidal activity and compound 3 and 6 was highly active (LD50: 8.20 μg/mL, and 7.43 μg/mL) against Nematicidal activity. © 2015 A. Idhayadhulla et al.


Devi S.,Shivani Engineering College | Sivakumar L.,Sri Krishna College of Engineering And Technology | Saravanan M.,Anna University
International Review of Mechanical Engineering | Year: 2013

The article presents modeling of a 40 MW power plant using the observed onsite data using ANN and MLR models. The four different structures of neural networks are employed in two stages which are then integrated into a single ANN model representing a complete model of the thermal power plant. The method is further compared with the multiple linear regression (MLR) method and their detailed statistical error analysis showed that the ANN models present a very good accuracy with correlation coefficient of 0.999209 which makes these models fast in response and easy to be updated with new plant data. These measures clearly demonstrated the efficient prediction accuracy of the neural networks in modeling of the 40 MW power plants. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.


Swaminathan C.,Shivani Engineering College | Sarangan J.,National Institute of Technology Tiruchirappalli
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2013

An experimental investigation was carried out to analyze the performance and emission characteristics of a compression ignition engine fueled with 20% biodiesel and 80% conventional diesel blended with diethylene glycol dimethyl ether on volume basis (0.2 to 0.6%). The performance test includes brake thermal efficiency and fuel consumption. The exhaust emission includes smoke density, CO, HC, CO2, and NOx. These parameters are evaluated in a single-cylinder diesel engine coupled with an eddy current dynamometer. The above factors in each case were compared with baseline data of mineral diesel and significant improvements have been observed. © 2013 Copyright Taylor and Francis Group, LLC.


AsmethaJeyarani R.,Shivani Engineering College
IEEE Proceedings of the INternational Conference On Emerging Trends in Science Engineering and Technology: Recent Advancements on Science and Engineering Innovation, INCOSET 2012 | Year: 2014

Digital government or an E-Government is a major application domain for Web services. It aims at improving government-citizen communications using information and communication technologies. A comprehensive Web Service Management System (WSMS) is used for providing a service centric framework and delivers government services to seniors. A toolkit called SWORD is used for service composition. The best services are provided to senior citizens through a framework which is suited for web services. © 2012 IEEE.


Thilak M.,TRP Engineering College | Sivakumar K.,Bannari Amman Institute of Technology | Jayaprakash G.,Shivani Engineering College
Chinese Journal of Mechanical Engineering (English Edition) | Year: 2012

Tolerance charting is an effective tool to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost objectives. The selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining time. This paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning. A dynamic tolerance charting constraint scheme is developed and implemented in the optimization procedure. An optimization model is formulated for selecting machining datum and tolerances and implemented with an algorithm namely Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II). The computational results indicate that the proposed methodology is capable and robust in finding the optimal machining datum set and tolerances. © Chinese Mechanical Engineering Society and Springer-Verlag Berlin Heidelberg 2012.


Jayaprakash G.,Shivani Engineering College | Sivakumar K.,Bannari Amman Institute of Technology | Thilak M.,TRP Engineering College
Engineering Computations (Swansea, Wales) | Year: 2012

Purpose - Due to technological and financial limitations, nominal dimension may not be able achievable during manufacturing process. Therefore, tolerance allocation is of significant importance for assembly. Conventional tolerance analysis methods are limited by the assumption of the part rigidity. Every mechanical assembly consists of at least one or more flexible parts which undergo significant deformation due to gravity, temperature change, etc. The deformation has to be considered during tolerance design of the mechanical assembly, in order to ensure that the product can function as intended under a wide range of operating conditions for the duration of its life. The purpose of this paper is to determine the deformation of components under inertia effect and temperature effect. Design/methodology/approach - In this paper, finite element analysis of the assembly is carried out to determine the deformation of the components under inertia effect and temperature effect. Then the deformations are suitably incorporated in the assembly functions generated from vector loop models. Finally, the tolerance design problem is optimized with an evolutionary technique. Findings - With the presented approach, the component tolerance values found are the most robust to with stand temperature variation during the product's application. Due to this, the tolerance requirements of the given assembly are relaxed to certain extent for critical components, resulting in reduced manufacturing cost and high product reliability. These benefits make it possible to create a high-quality and cost-effective tolerance design, commencing at the earliest stages of product development. Originality/value - With the approach presented in the paper, the component tolerance values found were the most robust to withstand temperature variation during the product's application. Due to this, the tolerance requirements of the given assembly are relaxed to a certain extent for critical components, resulting in reduced manufacturing cost and high product reliability. These benefits make it possible to create a high-quality and cost-effective tolerance design, commencing at the earliest stages of product development. © Emerald Group Publishing Limited.


Thilak M.,SRM University | Sivakumar K.,Bannari Amman Institute of Technology | Jayaprakash G.,Shivani Engineering College
International Journal of Manufacturing Technology and Management | Year: 2012

The main purpose of tolerance charting is to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost objectives. The selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining time. In order to reduce the machining time and cost, an optimum process plan should be designed. Due to the existence of intermediate machining operation, a large number of intermediate part features may be used as the datum for the machining of others. This paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning. In this work, an optimisation model is formulated for selecting machining datum and tolerances and implemented with an evolutionary algorithm namely differential evolution (DE). Copyright © 2012 Inderscience Enterprises Ltd.


Jayaprakash G.,Shivani Engineering College | Sivakumar K.,Bannari Amman Institute of Technology | Thilak M.,P.A. College
International Journal of Computer Integrated Manufacturing | Year: 2012

The technological and financial limitations in the manufacturing process are the reason for non-achievability of nominal dimension. Therefore, tolerance allocation is of significant importance for assembly. The purpose of tolerance design in product components is to produce a product with the least manufacturing cost possible, while meeting all functional requirements of the product. Limitations of the conventional tolerance allocation methods are as follows. The cost tolerance model developed by regression analysis has fitting error. Only dimensional tolerances of components alone are considered for allocation while the effect of geometric tolerances on functional requirement of the product is not considered. It is based on an assumption that all parts of the assembly are rigid. But in reality, every mechanical assembly consists of at least one or more flexible parts which undergo significant deformation due to gravity, angular velocity, etc. In this article, a back propagation (BP) network is applied to fit the cost-tolerance relationship. A parametric CAD model is developed to determine assembly constraint equation (the functional requirement) based on geometric and dimensional tolerances. Finite element analysis is used to determine the deformation of components in an assembly. An optimisation method based on Differential Evolution (DE) is then used to locate the combination of controllable factors (tolerances) to optimise the output response (manufacturing cost plus quality loss) using the equations stemming from the trained network. Integration of statistical tolerance design with finite element analysis guarantees that the optimal tolerance values of various components of the assembly, obtained as end product of the tolerance design will remain within tolerance variation. Then the product can function as intended under a wide range of operating conditions for the duration of its life. An application problem (motor assembly) is used to investigate the effectiveness and efficiency of the proposed methodology. Copyright © 2012 Taylor and Francis Group, LLC.

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