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Koteswararao B.,Koneru Lakshmaiah College of Engineering | Siva Kishore Babu K.,Koneru Lakshmaiah College of Engineering | Ravi D.,CBIT | Kumar K.K.,Koneru Lakshmaiah College of Engineering | Chandra Shekar P.,SIET
Materials Today: Proceedings | Year: 2017

The selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes, particularly Electrical Discharge Machining (EDM) process. EN31 is high carbon alloy steel and is usually supplied in a hardened and tempered condition. An attempt is made to find out the effect of machining parameters on EN31. Moreover, the signal-to-noise ratios associated with the observed values in the experiments were determined to find which factor is most affected by the Responses of Material Removal Rate (MRR), Tool Wear Rate (TWR) and over cut (OC).Discharge current(I) is most influencing factor on MRR and then pulse duration time and the last is diameter of the tool(D). MRR increased with I. As the pulse duration extended, MRR decreases monotonically. In the case of TWR the most important factor is I then pulse on time and after that D. In the case of OC the most important factor is I and then D and no effect on pulse on time. © 2017 Elsevier Ltd.

Madhu T.,SIET | Suryakalavathi M.,Jawaharlal Nehru Technological University
Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016 | Year: 2017

Intelligent drive control methods are very much essential for the efficient use of Induction motors in various industrial production processes. Fault diagnosis of induction motor drives is based on the Voltages, Currents and Speed. In this paper hybrid structures of Neuro-Fuzzy (BPN with Fuzzy logic) are proposed for external fault diagnosis of induction motor drive. The results are analyzed based on the overall improvement and performance of the machine. © 2016 IEEE.

Dubey A.,SIET | Rai A.K.,SIET
International Journal of Mechanical Engineering and Technology | Year: 2017

In the present work an attempt has been made to improve the daily productivity of single slope solar still. Two similar single slope solar stills are used in the experimental studies where one of the still is integrated with a mini solar pond. Experiments were carried out in the premises of SHUATS, Allahabad. Performance of the solar still integrated with the solar pond is compared with that of a conventional still. It is observed that integration of mini solar pond with single slope solar still increases the daily productivity by 27.8%. © IAEME Publication.

Ramesh Raju N.,SIET | Linga Reddy P.,Koneru Lakshmaiah College of Engineering
International Journal of Applied Engineering Research | Year: 2014

The PID controller is a simple and most widely used linear controller for process control applications. Indeed the most processes are nonlinear and needs the controller to be adaptive based on the operating conditions. At present there are many variations in PID controllers using artificial intelligent system appear in literature. Fuzzy PID controller is one of the most popularly known as a nonlinear PID controller for effective control of the processes with minimum overshoot, rise time, settling time and integral square error compared to the ordinary PID controller tuned by traditional methods. Non linear systems require an adaptive controller instead of a simple fixed parameter PID controller where the parameters of the system are adjusted as operating condition changes. In this paper a neuro adaptive PID controller in which the parameters of the controller are adjusted as the operating point (reference input) changes is implemented. Here the optimized PID parameters at each operating condition are obtained through Genetic Algorithm. The neural network is trained with the data optimized by genetic algorithm. The proposed system is simulated in MATLAB/SIMULINK environment and the results were compared with the fixed PID controller. The results shown that the performance of proposed system is better than fixed PID controller. © Research India Publications.

Singh R.S.,Allahabad University | Francis E.R.C.,SIET
International Journal of Mechanical Engineering and Technology | Year: 2017

Solid waste management has become nightmare for general public and local authorities in cities crosswise India. As the economic development takes place in a country the generation of the municipal solid waste increases. Not only has this but the characteristics of the municipal solid waste also changed. This study was conducted as a case study of the status of the municipal solid waste and its management in Allahabad city and a comparison is made with Varanasi and Kanpur city. Increasing population levels, rapid economic growth and rise in community living standard accelerates the generation rate of municipal solid waste in Indian cities. Improper management of MSW causes hazards to inhabitants. Geographic Information System has been used to analyze existing maps and data, to digitize the existing sanitary ward boundaries and to enter the data about the wards and disposal sites in Allahabad. In Allahabad the total quantity of MSW has been reported as 500 tonne/day, which is lesser than that of Varanasi, which produces 690 tonne per day. Kanpur being the industrial area, produces the maximum of 1500 tonnes per day. The generated Arc GIS maps give efficient information concerning static and dynamic parameters of the municipal solid waste management (MSWM) problem. © IAEME Publication.

Srinivas V.,SIET | Santhi Rani C.H.,Dms And Svh Engineering College
ICIIECS 2015 - 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems | Year: 2015

In this paper, we proposed a new technique presents an extraction method for robust speech recognition using the MVDR (Minimum Variance Distortionless Response) spectrum of short time autocorrelation sequence which can reduce the effects of leftover of the nonstationary additive noise that remains after filtering the autocorrelation. To produce a further robust front-end, we present the customized robust distortionless constraint of the MVDR spectral estimation method through revised weighting of the subband power spectrum values based on the sub-band signal to noise ratios (SNRs), which adjust it to the new proposed technique. The new proposed functions allow the components of the input signal at the frequencies with minimum affected by noise to pass with better weights and attenuate more effectively the noisy and unwanted components. This revision results in decrease of the noise residuals of the projected spectrum from the filtered autocorrelation sequence, thus advancing to a more robust algorithm. Our proposed technique, when analyzed on Aurora 2 task for recognition applications, best performed all MFCC (Mel frequency cepstral coefficients) as the fundamental, respective autocorrelation sequence MFCC (RAS MFCC), and the proposed MVDR related features in numerous different noisy conditions. © 2015 IEEE.

Rout M.,SIET | Baishya N.,SIET
Noise and Vibration Worldwide | Year: 2010

Development of an early damage detection method for delamination is one of the most important keys in maintaining the integrity and safety of composite structures. The present study focuses on the effects of delamination on the vibration characteristics of beams with single through-width delamination. Comparison is made between experimental study on aluminum specimens and corresponding finite element models created in ANSYS using brick elements. Specimens are made by bonding thin aluminum strips using very thin adhesive layers, with delaminations introduced by inserting cellophane paper at pre-determined locations. Vibration tests are carried out on the specimens, the results of which are compared with those of the finite element analysis. The finite element model was then used to demonstrate the comparison of natural frequency, mode shapes and curvature mode shapes of the intact and delaminated models. Further, the analysis is extended into layered composites of orthotropic materials. Comparisons are made between published experimental results of laminates and results of finite element analyses on models with layered brick elements using ANSYS. Eigen value extraction was done on 'free' models, with no constrains between the delaminated layers and models with linear spring connecting the delaminated layers.

Ramesh Raju N.,SIET | Linga Reddy P.,Koneru Lakshmaiah College of Engineering
International Journal of Engineering and Technology | Year: 2015

PID controller is mostly used in process plants to control the system performance by properly choosing its parameters. The optimum PID parameters can be obtained in offline using genetic algorithm if the mathematical model of the system is exactly known. In all process plants the process parameters such as properties of materials like thermal conductivity, electrical conductivity, physical dimensions such as diameter, length of the pipes, parameters of valves and pumps will change as time runs. This happens due to corrosion, scaling, aging, repairs during the maintenance, wear and tear. When the system is robust these changes slightly affect the performance of the system. When the system is not robust they make the system performance worst. Due to above reasons the process plant parameters changes as time runs. It is not easy to measure the changes in system parameters while plant is running and could not be evaluated optimum PID parameters through mathematical model. In this paper a new approach using genetic algorithm and neural network is established for optimum self tuning of PID parameters by observing the time response of the system at any time while plant is running.

Singh N.,SIET | Tripathi A.,Motilal Nehru National Institute of Technology
Advances in Intelligent Systems and Computing | Year: 2015

As the software size grows, the maintenance become challenging. To make it easier, there is a need to measure some quality parameters in earlier phases of software development. Understandability has a major contribution to control the maintainability. Coupling and cohesion are two well-accepted parameters to measure the software quality parameters. In this paper, a model is proposed to measure the understandability that is based on coupling and cohesion. © Springer India 2015.

Ramesh Raju N.,SIET | Linga Reddy P.,Koneru Lakshmaiah College of Engineering
International Journal of Engineering and Technology | Year: 2016

In this paper a Fractional order PID controller is proposed for AVR system and its parameters are optimised through Genetic Algorithm. Results are obtained by simulation in MATLAB/SIMULINK environment with FOMCON software. The results show that the AVR system with fractional order PID controller is faster and robust compared to integer order PID controller.

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