Mishra D.P.,Indian Institute of Technology Kanpur |
Patyal A.,PEC University of Technology |
Padhwal M.,Indian Institute of Technology Kanpur
Fuel | Year: 2011
The increasing demand for higher energy density fuels and the ever-increasing concern for their safety have propelled research in the field of gel propellants. For studying the fundamental parameters without the interference of neighbouring droplets, an isolated droplet was chosen to investigate experimentally the combustion process of gel propellants under normal gravity conditions. Phase separation of the gel propellant components leading to bubble nucleation, vapor jetting and microexplosions were found to be the main phenomenon involved during the combustion period. Experiments were comprehensively carried out to study the effect of gellant concentration on the burning rate constant as well as flame structure. The burning rate constant was found to decrease with increase in the gellant concentration. Decrease in the calorific value of the increasing gellant concentrations was proposed as one of the reasons for this variation. The flame exhibited a triple flame structure for all the cases for both C2 radicals as well luminous flames. The horizontal and vertical flame standoff distances were observed to decrease with gellant content. Decrease in the content of the base fuel was proposed as the reason for the same. © 2010 Elsevier Ltd. All rights reserved.
Singh V.,PEC University of Technology |
Ratti R.,PEC University of Technology |
Kaur S.,PEC University of Technology
Journal of Molecular Catalysis A: Chemical | Year: 2011
An efficient synthesis of an ammonium tagged carbapalladacycle 5, in modest yield, has been achieved. Further, the clay-nanocomposite 6 was prepared by ion exchange of 5 into clay interlayers as a new organic-inorganic hybrid catalytic system. The ionic tag of the ammonium supported carbapalladacycle 5 assists in the pillaring process and enhances the organophilicity of catalyst 6 in the interlayers of clay. The catalytic activity in ammonium based ionic liquid [TMBA] NTf2 of both the homogeneous and heterogeneous recyclable catalysts 5 and 6 respectively in micromolar concentration of palladium has been tested for Mizoroki-Heck and Sonogashira reactions in good yields with high TON/TOF and negligible metal leaching. Effect of solvent and temperature on the catalytic activity has also been examined. © 2010 Elsevier B.V. All rights reserved.
Singh S.,PEC University of Technology
Advanced Science Letters | Year: 2012
Barium titanate (BaTiO 3) nanoparticles with an average size of 28 nm were synthesized by modified sol- gel method and characterized by X-ray diffraction (XRD) and transmission electron microscopy equipped with energy-dispersive X-ray spectroscopy (EDX). XRD and selected area electron diffraction (SAED) investigations demonstrated that as-prepared BaTiO 3 nanoparticles have tetragonal perovskite crystal structure. Dielectric measurement results indicate a diffuse ferroelectric cubic to tetragonal phase transition and also shift to lower temperature side. This lowering and diffuseness in phase transition may be because of the particle size effect. Polarization investigation shows leaky ferroelectric loops in BaTiO 3 nanoparticles which may be due to the defects such as grain boundaries and the pores. © 2012 American Scientific Publishers. All rights reserved.
Mishra D.P.,Indian Institute of Technology Kanpur |
Patyal A.,PEC University of Technology
Fuel | Year: 2012
The increasing demand for higher energy density fuels and the ever-increasing concern for their safety have propelled research in the field of gel propellants. For studying the fundamental parameters without the interference of neighbouring droplets, isolated droplet burning of organic ATF (aviation turbine fuel) gel propellants was chosen to investigate experimentally the effects of initial droplet diameter and chamber pressure on the burning under normal gravity conditions at room temperature. Under ambient pressure condition, an increase in the burning rate constant was observed with increase in initial droplet diameter. For a given range of diameters, the burning rate constant also continued to increase with pressure. Experiments were also carried out to study how these variations were affected by initial droplet diameter and chamber pressure changes, respectively. The intensity of microexplosions was observed to decrease with increase in chamber pressure. A balance between the heat loss by the droplet to the surroundings and the heat gain by the droplet has been put forward to explain the variations of burning rate constant with varying pressures as well as varying initial droplet diameters. © 2012 Elsevier Ltd. All rights reserved.
Mali H.S.,Gautam Buddha University |
Manna A.,PEC University of Technology
International Journal of Advanced Manufacturing Technology | Year: 2012
Abrasive flow machining (AFM) is a multivariable finishing process which finds its use in difficult to finish surfaces on difficult to finish materials. Near accurate prediction of generated surface by this process could be very useful for the practicing engineers. Conventionally, regression models are used for such prediction. This paper presents the use of artificial neural networks (ANN) for modeling and simulation of response characteristics during AFM process in finishing of Al/SiCp metal matrix composites (MMCs) components. A generalized back-propagation neural network with five inputs, four outputs, and one hidden layer is designed. Based upon the experimental data of the effects of AFM process parameters, e.g., abrasive mesh size, number of finishing cycles, extrusion pressure, percentage of abrasive concentration, and media viscosity grade, on performance characteristics, e.g., arithmetic mean value of surface roughness (Ra, micrometers), maximum peak-valley surface roughness height (Rt, micrometers), improvement in Ra (i.e., ΔRa), and improvement in Rt (i.e., ΔR t), the networks are trained for finishing of Al/SiCp-MMC cylindrical components. ANN models are compared with multivariable regression analysis models, and their prediction accuracy is experimentally validated. © 2012 Springer-Verlag London Limited.
Ghosal A.,PEC University of Technology |
Manna A.,PEC University of Technology
Optics and Laser Technology | Year: 2013
This paper presents the investigated results on machining of Al/Al 2O 3-MMC by ytterbium fiber laser. The effects of the different parameters on the response characteristics are explained. A comprehensive mathematical models for correlating the interactive and higher-order influences of various machining parameters such as laser power, modulation frequency, gas pressure, wait time, pulse width on the machining performance criteria e.g., metal removal rate and tapering phenomena has been developed for achieving controlled over fiber laser machining process. The response surface methodology (RSM) is employed to achieve optimum responses i.e., minimum tapering and maximum material removal rate. The parameters wait time and modulation frequency are identified as the most significant and significant parameters for MRR. Modulation frequency range from 600 to 680 Hz taper is minimum. The optimal parametric combination for maximized MRR and minimized taper is identified as 473.12 W laser power, 604.54 Hz modulation frequency, 0.18 s wait time, 19.82 bar assist gas pressure and 93.47% of duty cycle pulse width and finally confirmation tests are conducted to validate the developed models. © 2012 Elsevier Ltd. All rights reserved.
Kalra P.,PEC University of Technology |
Prakash N.R.,PEC University of Technology
Robotics and Computer-Integrated Manufacturing | Year: 2011
Exploring a virtual model under simulated environments is the best way to learn about a real system. This is particularly true in robotics where it is quite expensive to provide the system to each individual. The interdisciplinary area of robotics is being studied commonly in various fields like electrical, computer, mechanical engineering, nanotechnology, etc. A virtual robot system can help one fully understand the controls and working of a robot. The system may also be helpful to design the path and plan the trajectory of a robot in an industrial environment or other robotics application. Virtual model of RV-M1 robot has been developed in the MATLAB environment. The virtual system performs forward kinematics and inverse kinematics in addition to providing a simulation of the robot teachbox. © 2011 Elsevier Ltd. All rights reserved.
Sarkar P.,Indian Institute of Technology Ropar |
Sharma B.,PEC University of Technology |
Malik U.,PEC University of Technology
Renewable Energy | Year: 2014
Energy consumption in developed as well as developing countries is high, especially in the residential and commercial building sectors. Researchers have been working on several technologies for the reduction of energy consumption in buildings; among them, energy-harvesting techniques are quite promising. In this paper, we explore a possibility of harnessing energy from grey water, while it flows down through high-raised buildings. We propose the usage of a micro/pico hydro turbine installed at the ground floor of a high rise building that utilizes the energy of grey water falling from floors above, to generate electricity. The electrical energy generated from the turbine can be utilized further in numerous ways. Scaled prototype of the same has been developed and tested. The proposed design of a gravity-energized wastewater system in high-rise buildings for generation of hydroelectricity is being checked for its feasibility in Indian markets. Calculation shows that the proposed system is commercially promising for most of the major cities in India. We also discuss cost benefits analysis of the proposed system to support our claims for possible commercialization of this technology. © 2014 Elsevier Ltd.
Jangra K.K.,PEC University of Technology
International Journal of Advanced Manufacturing Technology | Year: 2014
This work presents the investigation on multi-pass cutting operation (single rough cut followed by multi trim cuts) in wire electrical discharge machining (WEDM) of WC-5.3 % Co composite. Trim cuts were performed using Taguchi’s design of experiment method to investigate the influence of rough cut history (RHis), discharge current (Ip), pulse-on time (Ton), wire offset (WO) and number of trim cuts (Ntrim) on two performance characteristics namely depth of material removed (DMR) and surface roughness (SR). Result shows that the surface finish improves significantly in trim cutting operation irrespective of the rough cutting operation, while depth of material removed is proportional to the number of trim cuts followed. Using analysis of variance (ANOVA) on experimental data, it is found that Ton, WO and Ntrim are most significant parameters affecting the DMR, while Ip, Ton and WO are most significant for SR in trim cutting operation. Impact of RHis was negligible on final surface roughness, but it can influence the dimensional tolerance of the machined component. Using Taguchi method, WEDM parameters were optimized for DMR and SR, individually. Using nominal value of DMR from trim cutting operation, wire offset value has been predicted for rough cutting operation which helps to achieve the final dimensional precision. Using the same strategy, problem of selection of accurate wire offset and discharge parameters for rough and trims cutting operations can be solved easily for WEDM of new and exotic materials. © 2014, Springer-Verlag London.
Kaur K.,PEC University of Technology
2016 International Conference on Computational Techniques in Information and Communication Technologies, ICCTICT 2016 - Proceedings | Year: 2016
Data accumulated from social media like Facebook, Twitter, Google+ etc. provides real-time information, which can help in preventing unanticipated happenings to a great extent. To acknowledge the existence of Twitter in generating valuable information on versatile domains, 'Terrorism' has been chosen as the domain of study. For studying an acute issue like terrorism, it's a prerequisite to study about 'topical experts' for uncovering some reliable and trustworthy sources of information on social media. List, which is a crowd-sourced feature of Twitter, is utilized in recognizing the topical experts. The study provides about 1000 experts by crawling only 57 lists. The collected tweets from terrorism experts have been classified with 48.89% accuracy. Further, on testing the classifier, 66.67% precision and 88.89% recall is obtained. The study has been validated using real-data set with 73.333% accuracy. © 2016 IEEE.