Chandigarh, India

PEC University of Technology

www.pec.ac.in
Chandigarh, India

PEC University of Technology, formerly known as Punjab Engineering College , is an engineering institute located in the city of Chandigarh, India and is one of the most prestigious institutes in North India. Wikipedia.

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Mangal S.K.,PEC University of Technology | Sharma V.,PEC University of Technology
Materials Today: Proceedings | Year: 2017

Magneto rheological fluids belong to the class of the smart materials whose rheological characteristics such as yield stress changes in the presence of applied magnetic field. The present paper compares the various on state rheological characteristics like yield stress, torque and relative permeability for a commercially available Lord MRF 122-EG fluid using different techniques such as Experimental approach, Carlson approach and Inference from Lord technical Data. An electromagnet equipped with servo motor and torque sensors has been fabricated to calculate yield stress and on state rheological parameters of MR fluid at an applied magnetic field of 2.0 Tesla. © 2017 Elsevier Ltd. All rights reserved.


Sah N.,PEC University of Technology
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

Recent advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. The sensor networks can be used for various application areas (e.g., health, military, home). Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the apphcation and network architecture. There is a design trade-off between energy and communication overhead savings in every routing paradigm. This paper provides method for clustering and cluster head selection to WSN to improve energy efficiency. It presents a comparison between LEACH and R-LEACH on the basis of the network lifetime. In this paper, we develop and analyze low-energy adaptive clustering hierarchy (LEACH) that combines the ideas of energy-efficient cluster-based routing and media access together with data aggregation to achieve good performance in terms of system hfetime, latency, and application-perceived quality. Further, we modify one of the most prominent wireless sensor networks routing protocol LEACH as R-LEACH by introducing efficient cluster head replacement and inter cluster communication. Our R-LEACH, in comparison with LEACH performs better using metrics of cluster head formation, network hfe time. Finally a brief performance evaluation of LEACH and R-LEACH is undertaken considering metrics of throughput, network life. © 2016 IEEE.


Kaur A.,PEC University of Technology
IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017 - Proceedings | Year: 2017

In this epoch of growing technology the data collected by organizations has the requirement to preserve the privacy of the individuals. The techniques like anonymization, randomization are used to achieve the goal. But unfortunately anonymization leads to certain level of information loss while preserving privacy. Due to drift of data over the centralized server has added to the more demand of preserving privacy to dominate the trust of individuals. The application like the data of online shopping customers, patients, insurance is stored online over the centralized repository these days and it needs to maintain privacy of the individuals. In all the quoted applications the data contains many fields like email address, zip code, age, nationality etc. The quasi-identifiers like zip code, age, gender of a person does not seem to be very important to protect but these fields when linked with some other attributes can expose the identity or sensitive information of an individual. Thus the quasi-identifiers need a special scrutinity in the purpose of achieving privacy. The proposed hybrid approach combining suppression and perturbation for Privacy Preserving data mining takes care of these requirements. The method focuses on the goal of preserving privacy by suppressing and perturbing the quasi identifiers in the data of online shopping customers stored on centralized data repository without causing any loss to the information in the process. The method targets to overcome the limitation of information loss while preserving privacy. The experiment is carried by setting up a local server on the system and the simulation results are compared with anonymization to show that the goal to achieve privacy of quasi identifiers without information loss is successfully achieved. © 2017 IEEE.


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 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.


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.

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