DAV Institute of Engineering and Technology

davietjal.org
Jalandhar, India

DAV Institute of Engineering and Technology is an engineering institute in Jalandhar City, established by the Dayanand Anglo-Vedic College Trust and Management Society.The DAV College Trust and Management Society is the largest non-government educational organization in India, managing a chain of about 700 institutions in India and abroad. The institute is located in the heart of city adjacent to DAV College, Jalandhar, on the left side of the Jalandhar-Amritsar National Highway.The institute received ISO 9001:2000 certification in 2005 under joint accreditation of SGS Group and UKAS Quality Management.The institute offers a B.Tech. program in six fields of engineering as well as M.Tech, MCA and MBA programs. Wikipedia.

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Thakral N.,DAV Institute of Engineering and Technology | Kumar L.,DAV Institute of Engineering and Technology
2016 IEEE Annual India Conference, INDICON 2016 | Year: 2016

As the demand of carrying large information in optical fiber communication network increased, there came the need of some special devices in the network to accomplish this task. For this, hybrid configurations of optical amplifiers are designed that are capable of improving the performance of the system. In this paper, a setup has been built to investigate the performance of different hybrid optical amplifiers with combination of EDFA-SOA, EDFA-RAMAN & EDFA-SOA-RAMAN with 3 channels using different bit rates of 6.25 Gbps, 12.5 Gbps and 18.75 Gbps. Performance is evaluated on the basis of quality factor, eye diagram and BER. It is observed that EDFA-SOA more suitable for RZ in comparison to other optical amplifier combination for proposed DWDM transmission link. © 2016 IEEE.


Virk H.S.,DAV Institute of Engineering and Technology
Digest Journal of Nanomaterials and Biostructures | Year: 2010

It is well known that template synthesis is a simple and versatile method for preparing nanostructures within the pores of a microporous template membrane. Due to their uniform and nearly parallel porous structures, anodic alumina membranes (AAM) have become ideal templates for the electrochemical deposition of the highly anisotropic, aligned nanowire arrays. Commercial anodic alumina membrane (Anodisc 25, Whatman, UK) having an average pore diameter of 200 nm, a nominal thickness of 60 μm and a pore density of 10 9 pores/cm 2, was used as a template. In the present study, template synthesis of Cu-Se hetero-junctions has been achieved in an electrochemical cell fabricated in our laboratory. The electrolytes used had a composition of 200 gm/l Cu S0 4.5H 2O + 25% of dilute H 2S0 4 for deposition of Copper and a composition of SeO 2 (8×10 -4 M) with 0.5 ml of 35% dilute H 2SO 4 for deposition of Selenium, the inter-electrode distance was kept 0.5 cm and a dc source was used for electrodeposition at room temperature. The Cu-Se nanowires were liberated from the host matrix by keeping AAM immersed in 1 M NaOH for 1hour. SEM images of fabricated hetero-junctions reveal a parallel alignment with approximately equal wire length. Chemical composition is determined using Energy Dispersive X-ray Spectroscopy (EDS) and the spectrum reveals that Cu-Se hetero-structures are composed of Cu and Se metals with appropriate stoichiometry. I-V characteristics of Cu-Se hetero-junctions have been investigated using Keithley Model 4200 SCS programmable dual source meter.


Saini S.,DAV Institute of Engineering and Technology | Ahuja I.S.,Punjabi University | Sharma V.S.,National Institute of Technology Jalandhar
Materials and Manufacturing Processes | Year: 2012

Hard turning is used in the manufacturing industry as an economic alternative to grinding, but the reliability of hard turning processes is often unpredictable. The main factors affecting the reliability of hard turning are surface integrity and tool wear. In the present study, an attempt has been made to investigate the effect of cutting parameters on surface roughness, tool wear, and residual stress distribution in hard turning. This article brings out the comprehensive analysis of the effects of cutting parameters on surface roughness, residual stress, and tool wear. © 2012 Taylor and Francis Group, LLC.


Ryait H.S.,Baba Banda Singh Bahadur Engineering College | Arora A.S.,DAV Institute of Engineering and Technology | Agarwal R.,Thapar University
IEEE Transactions on Biomedical Circuits and Systems | Year: 2010

Surface electromyogram (SEMG) is a common method of measurement of muscle activity. It is noninvasive and is measured with minimal risk to the subject. The analysis of SEMG signal depends on a number of factors, such as amplitude as well as time- and frequency-domain properties. In the present investigation, the study of SEMG signals at different below elbow muscles for four operations of the hand wrist/grip-like opening (op)/closing (cl)/down (d)/up (u) was carried out. Myoelectric signals were extracted by using a single-channel SEMG amplifier consisting of a differential amplifier, noninverting amplifier, and interface module. Matlab softscope was used to acquire the SEMG signal from the hardware. After acquiring the data from six selected locations, interpretations were made for the estimation of parameters of the SEMG using the Matlab- filter algorithm and the fast Fourier transform technique. An interpretation of wrist/grip operations using principal component analysis (PCA) was carried out. PCA was used to identify the best SEMG signal capturing system out of two-channel, three-channel, and four-channel systems. Two acupressure points (on wrist) were also selected for the analysis with other points on the arm. SEMG signal's study at different locations, including pressure points, will be a very helpful tool for the researchers in understanding the behavior of SEMG for the development of the prosthetic hand. © 2010 IEEE.


Goel S.,DAV Institute of Engineering and Technology | Singh S.P.,National Institute of Technology Jalandhar | Singh P.,National Institute of Technology Jalandhar
ACI Materials Journal | Year: 2012

This paper investigates the flexural fatigue performance of self-consolidating concrete (SCC) and self-consolidating fiber-reinforced concrete (SCFRC) containing round corrugated steel fibers with a size of 1 × 30 mm (0.04 × 1.18 in.) in different 0.5, 1.0, and 1.5% volume fractions. Approximately 250 flexural fatigue tests and 195 complementary static flexural tests were executed on beam specimens with a size of 100 × 100 × 500 mm (3.94 × 3.94 × 19.7 in.) under four-point flexural loading. The fatigue-life data show that the probabilistic distribution of fatigue life of SCC/SCFRC at a given stress level can approximately be modeled by the two-parameter Weibull distribution. Three different methods were used to obtain the Weibull parameters. A single-log fatigue equation was used to analyze the flexural fatigue performance of SCC/SCFRC with a 10% probability of failure. The results show significantly improved fatigue performance of SCFRC with enhanced sensitivity of fatigue lives to the change of applied stress. Theoretic fatigue lives for SCC/SCFRC were estimated that exhibit an increase to a different extent. Copyright © 2012, American Concrete Institute. All rights reserved.


Soleymani F.,Islamic Azad University at Zahedan | Sharma R.,DAV Institute of Engineering and Technology | Li X.,Guizhou University for Nationalities | Tohidi E.,Ferdowsi University of Mashhad
Mathematical and Computer Modelling | Year: 2012

In this paper, we discuss iterative methods for solving univariate nonlinear equations. First of all, we construct a family of methods with optimal convergence rate 4 based upon the Potra-Pták scheme and provide its error equation theoretically. Second, by using this derivative-involved family, a novel derivative-free family of two-step iterations without memory is derived. This derivative-free family agrees with the Kung-Traub conjecture (1974) for building optimal multi-point iterations without memory, since it is proven that each derivative-free method of the family reaches the convergence rate 4 requiring only three function evaluations per full iteration. Finally, numerical test problems are also provided to confirm the theoretical results. © 2011 Elsevier Ltd.


Saini S.,DAV Institute of Engineering and Technology | Ahuja I.S.,Punjabi University | Sharma V.S.,National Institute of Technology Jalandhar
International Journal of Precision Engineering and Manufacturing | Year: 2012

In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on machined parts is surface roughness. There are various machining parameters which have an effect on the surface roughness, but these effects have not been adequately quantified. In order for manufacturers to maximize their gains from utilizing finish hard turning, accurate predictive models for surface roughness and tool wear must be constructed. This paper utilizes response surface methodology (RSM) for modeling to predict surface roughness and tool wear for variety of cutting conditions in finish hard turning. The experimental data obtained from performed experiments in finish turning of hardened AISI H-11 steel have been utilized. Decrease in feed rate and increase in cutting speed resulted in significant increase in surface quality. However, increase in cutting speed also produced relatively higher tool wear. Also depth of cut did not significantly affect the tool wear and surface roughness. © KSPE and Springer 2012.


Goel S.,DAV Institute of Engineering and Technology | Singh S.P.,National Institute of Technology Jalandhar | Singh P.,National Institute of Technology Jalandhar
Engineering Structures | Year: 2012

The paper presents an experimental investigation on the flexural fatigue strength of Self Compacting Fibre Reinforced Concrete (SCFRC) beams. The fatigue life data of SCFRC containing 0.5%, 1.0% and 1.5% by volume of steel fibres have been obtained by conducting flexural fatigue tests on approximately 188 beam specimens of size 100. ×. 100. ×. 500. mm under third point loading at different stress levels, ranging from 0.90 to 0.70. Approximately 144 complimentary static flexural tests were also carried out to facilitate fatigue testing. All the static flexural and flexural fatigue tests were conducted on a 100. kN closed loop servo-controlled actuator. The results have been represented in the form of . S-. N diagrams and to predict the flexural fatigue strength of SCFRC, material coefficients of the fatigue equations have been estimated. Subsequently, family of . S-. N-. P f curves has been generated from the fatigue test data to graphically represent the relationship between stress level . S, fatigue life . N, and probability of failure . P f, thus incorporating probability of failure into the fatigue life data of SCFRC. The experimental coefficients of the fatigue equation have also been obtained from the fatigue test data to represent the . S-. N-. P f curves analytically. The two-million cycles fatigue strength of SCFRC has been found to be higher than that of Normally Vibrated Fibre Reinforced Concrete (NVFRC). © 2012 Elsevier Ltd.


Ahuja K.,DAV Institute of Engineering and Technology | Singh B.,National Institute of Technology Kurukshetra | Khanna R.,Thapar University
Optik | Year: 2014

Deployment of heterogeneous wireless networks is spreading throughout the world as users want to be connected anytime, anywhere, and anyhow. Meanwhile, users are increasingly interested in multimedia applications such as audio, video streaming and Voice over IP (VoIP), which require strict Quality of Service (QoS) support. Provisioning of Always Best Connected (ABC) network with such constraints is a challenging task. Considering the availability of various access technologies, it is difficult for a network operator to find reliable criteria to select the best network that ensures user satisfaction while reducing multiple network selection. Designing an efficient Network selection algorithm, in this type of environment, is an important research problem. In this paper, we propose a novel network selection algorithm utilizing signal strength, available bit rate, signal to noise ratio, achievable throughput, bit error rate and outage probability metrics as criteria for network selection. The selection metrics are combined with PSO for relative dynamic weight optimization. The proposed algorithm is implemented in a typical heterogeneous environment of EDGE (2.5G) and UMTS (3G). Switching rate of the user between available networks has been used as the performance metric. Moreover, a utility function is used to maintain desired QoS during transition between networks, which is measured in terms of the throughput. It is shown here that PSO based approach yields optimal network selection in heterogeneous wireless environment. © 2013 Elsevier GmbH.


Kohli A.,DAV Institute of Engineering and Technology | Singh H.,National Institute of Technology Kurukshetra
Materials and Manufacturing Processes | Year: 2012

In the present article, an effective procedure of response surface methodology (RSM) is utilized to find the optimal values of process parameters for induction hardening of AISI 1040 steel under three different conditions of the material to predict total case depth. The three material conditions are untreated as-received (rolled), normalized, and tempered. Various process parameters, such as feed rate, current, dwell time, and gap between the workpiece and induction coil are experimentally explored. The experimental results show that the proposed mathematical models can predict the total case depth within the limits of the factors being investigated. The optimal values of process parameters have been verified by confirmation experiments. After ascertaining the optimal sample (corresponding to the best setting of induction hardening process parameters), tensile strength tests were performed so that the comparison could be done between the optimal induction hardened material and material without subjecting to induction hardening. It was concluded that the tempered is the most favorable raw material for making shafts, axles, or other automobile components during induction hardening process as almost finely distributed martensite was observed during scanning electron microscope (SEM) analysis. © 2012 Copyright Taylor and Francis Group, LLC.

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