Monday, November 28, 2011

International Journal of Vehicle Structures & Systems-Volume 3 Issue 3


International Journal of Vehicle Structures and Systems (IJVSS) is a quarterly journal and is published by MechAero Foundation for Technical Research & Education Excellence (MAFTREE). MAFTREE is a Section 25 company limited by guarantee, based in Chennai (formerly, Madras), India and engaged in the promotion and advancement of technical education and research in the field of mechanical, aerospace and other branches of engineering. IJVSS will endeavour to publish high quality original research and review papers, case studies, technical notes and book reviews. All published papers in this journal will have undergone rigorous peer review.

Table of Contents

Sunday, November 20, 2011

ELECTRICAL ENGG. Volume:91 2011 MAR


1  You are not authorised to download the PDF.  A Solution to the Load Flow Problem with Induction Motor using Modified Genetic Algorithm  This paper presents a solution to the load flow problem with induction motor using Modified Genetic Algorithm (MGA). The classical constant power load model is usually employed for load flow analysis. Since, the actual loads of power systems mostly have nonlinear voltage characteristics. The nonlinear load model is included into load flow problem that is essential to get better and precise results of load flow analysis. In this paper, the nonlinear model of induction motor load is included into the conventional load flow problem. Modified genetic algorithm involves a set of improved operators like Elitism, tournament selection and two point crossover, in order to increase its convergence speed and improve the quality of solution.In MGA, the objective function is to minimize the voltage and power mismatches and also constraining the power loss to a minimum value. This will results a precise solution to the load flow problem. To establish the validly of this method, the algorithm is tested with standard Ward-Hale six-bus system and with nine-bus system and the results are compared with simple genetic algorithm. It shows that speed of convergence is high and finds the precise solution for the problem.  
2  You are not authorised to download the PDF.  A SVS Control Strategy for Damping Torsional Oscillations due to SSR in a Series Compensated Power System  The paper presents a Static VAR system (SVS) control strategy for damping torsional oscillations due to subsynchronous resonance (SSR) in a series compensated power system. The proposed SVS control strategy utilizes the effectiveness of combined reactive power and voltage angle (CRPVA) SVS auxiliary control signals. Eigenvalue analysis has been carried out using a linearized model of the power system.A digital computer simulation study, using a nonlinear system model, has been carried out to illustrate the performance of the proposed SVS control strategy under large disturbance conditions. It is found that the torsional oscillations are effectively damped out and the transient performance of the series compensated power system is greatly improved. This corroborates the outcome of the eigenvalue analysis.  
3  You are not authorised to download the PDF.  Design of an LC VCO for Low Phase Noise and Low Power Consumption  This paper reports design of a voltage controlled oscillator (VCO) with high oscillation frequency, low power consumption and low phase noise. The oscillator is a single stage circuit and it has a low phase noise due to reduce noise sources. The design is implemented in cadence environment with 0.18 µm UMC technology. To evaluate the performance parameters the VCO is simulated in a 0.18 µm UMC technology using specter RF simulator.In this design frequency range was varied from 2.86 GHz to 3.3 GHz. Also the phase noise of the VCO at oscillation frequency of 3.3 GHz is to 122.84 dBc/Hz @ 1 MHz offset frequency and –124.39@100 MHz offset frequency, with the power consumption of 10.71 mW and tuning range of 8.53 %. In addition the present results with earlier published work has been compared 1,2 and obtained improvements. Also layout is designed at supply voltage of 2V and simulated results have been verified.  
4  You are not authorised to download the PDF.  Modelling and Simulation of Optical Fibre based Temperature Sensor for Monitoring Dry Type Transformers  Breakdown of transformers prove to be very expensive and inconvenient because it takes a lot of time for their replacement. During breakdown the industry also incurs heavy losses because of stoppage in production line. A system for monitoring the temperature of transformers is required. Existing sensors cannot be used for monitoring the temperature of transformers because they are sensitive to electrical signals and can cause sparking which can trigger fire since there is oil in transformers cooling coils.Optical fibres are electrically inert so this system will prove to be ideal for this application. Results of investigations carried out by simulating a configuration of optical fibre temperature sensor for transformers based on micro bending using MATLAB7.5 as a simulation tool to evaluate the effectiveness of this sensor have been communicated through this paper.  
5  You are not authorised to download the PDF.  Shunt Active Power Filter with a Novel Hysteresis Current Controller  Since the rapid development of the semiconductor industry, power electronics devices have gained popularity in our daily used electrical household appliances. Although these power electronics devices have benefited the electrical and electronics industry, these devices are also the main source of harmonics in the power system. Recently, the harmonic suppression facilities based on power electronic technique have been developed. These active harmonic suppression facilities known as active power filter which can suppress the different order harmonic components of nonlinear loads simultaneously. In this paper, a three-phase shunt active power filter using synchronous reference frame (SRF) strategy with a novel hysteresis current control technique is presented.For each 60 duration of line cycle, the three-phase controlled bridge can be considered as dual buck, buck and boost or dual boost configuration depending on the grid voltage and injected current polarities. Only two switches are controlled at high frequency at any instant of time. A threephase diode bridge with R-L load has been considered as nonlinear loads. Harmonics currents have been extracted by using SRF strategy and is used as reference current signal. A switching algorithm for injection of harmonic current has been developed. Simplicity of control circuit, reduction in switching losses with excellent dynamic performance are the salient features of the proposed hysteresis switching strategy.  
6  You are not authorised to download the PDF.  Switched Reluctance Motor Converters Simulation : A High Efficiency Low Cost Comparative Performance Evaluation  The emergence of new applications for switched reluctance drive has created a need for low cost, compact converter topologies. A number of attempts were made in recent times to develop novel power electronic converter structures for SRM drives, based on their utilisation. This paper reviews the performance of various converters and the demonstrated by simulation.The proposed topologies are simulated using MATLAB/ Simulink software package and result is obtained. The computer simulation result supports the proposed methods of performance analysis of the converter. The comparative performance is also predicted.  
7  You are not authorised to download the PDF.  Wing Technique Approach for the Detection of Stator Winding Faults in Three-phase Induction Motors  This paper presents a novel approach to diagnose inter-turn insulation faults and open circuit fault in threephase induction motor operating at different loading conditions. This approach is based on loci of instantaneous symmetrical components and requires measurement of three input stator currents. In this methodology, the effect of unbalance supply conditions, constructional imbalance and measurement errors are also investigated.The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant and also allows maintenance to be performed in a more efficient manner, since the course of action can be determined based on the type and severity of the fault.  

PRODUCTION ENGG. Volume:91 2011 MAR

1  You are not authorised to download the PDF.  Adaptive Method for Rapid Product Development from Unorganised Point Cloud Data  For Rapid ProtoType Development (RPD) one of the prerequisites is a solid model. In reverse engineering, point cloud data is converted into surface model which is finally converted into solid model to subsequently generate a STL file for use on rapid prototype machine. This is a time consuming activity. Hence for integrating two processes, ie, reverse engineering and rapid prototyping, the point cloud data is directly converted into surface model without generating surface model using conventional surface modelling techniques. Preprocessing activities like noise removal, segmentation and triangulation are the basic steps required for the direct generation of STL file using point cloud data. Point cloud data is obtained using contact as well as non contact scanners.Data obtained from continuous contact scanner is converted into STL file using matrix triangulation1,2 and conversion of scattered data obtained from laser scanner into STL file is possible using Octree segmentation followed by Delaunay triangulation3,4. Matrix method being simple is suitable only for organized data which is obtained from continuous contact scanner. However combination of Octree segmentation and Delaunay triangulation show certain disadvantages when used in combination for laser data. In this paper a new combination is introduced for the generation of STL file. In this combination, proposed row-column technique is developed to convert unorganized data into organized data which have been arranged into the matrix format and then matrix triangulation is performed to achieve triangulation and generation of STL file.  2  You are not authorised to download the PDF.  Decision Making for Material Handling Equipment Selection using ELECTRE II Method  Material handling equipment (MHE) is the most important part of today's manufacturing systems and is increasingly playing a crucial role in enhancing the productivity of the entire manufacturing organization. Use of proper MHE can aid the manufacturing process, provide effective utilization of manpower, increase production and improve system flexibility. Selection of the most suitable MHE is a very difficult task for the manufacturing organizations because of the considerable capital investment required. It is also challenging to the decision maker due to the presence of many feasible alternatives and conflicting objectives. Different multi-criteria decision-making (MCDM) methods have been observed to be quite useful to analyze and solve the MHE selection problems.These MCDM methods can evaluate and rank the available candidate alternatives based on various conflicting criteria. This paper mainly attempts to explore the applicability and potentiality of an outranking method-based MCDM technique, ie, ELECTRE II (ELimination and Et Choice Translating REality) method for effective MHE selection decision. Two real time examples are presented to validate the performance of ELECTRE II method. It is observed that in both the cases, the top-ranked MHE alternatives exactly match with those derived by the past researchers.  3  You are not authorised to download the PDF.  Driving Comfort Factor to Assess Perceived Comfort based on Experimental Analysis  The paper deals with the issue of subjective rating system of comfort assessment being used at present and the need to develop an objective technique of comfort measurement through combined threshold ‘Comfort Index’.Using various experiments, logical approach and simulation techniques the authors define a new threshold value of the comfort index which could be used to assess and compare various passenger cars for perceived comfort. This will undoubtedly help the designers to analyze their concepts early in design and development program which will result in comfortable driving experience for drivers.  4  You are not authorised to download the PDF.  Evaluation of Machine Learning Process  This paper deals with the machine learning phenomenon. Here, an attempt has been made to determine the progress elasticity and learning of a machine. Here authors, based on the quantitative technique of relative risk reliability index (R3I), determined vibration as the most critical factor compared to dimensional tolerance and surface roughness in predicting the machine learning index.Overall learning index has been determined based on amplitude of vibration. Progress elasticity of the machining operation has been evaluated. The authors also suggests a quantitative method of evaluation in determining overall learning index.  5  You are not authorised to download the PDF.  Need for Integrated Implementation of Lean Manufacturing and Six Sigma for Small and Medium Scale Industries : A Detailed Survey  All the manufactured products can be classified as standard, innovative and hybrid products and can be manufactured in either Lean or Agile environment. Leanness means reduced time across the value chain. Agility means grabbing market opportunities by absorbing fluctuation in demand. Six Sigma means 3.4 defects per million opportunities. The goal of supply chain management is to provide suppliers and customers a window into their supply chain so that they can reduce inventory, better utilize plant capacity and cut communication costs.In the literature review, some of the important literature about Six Sigma, Lean manufacturing and SCM are studied. These three techniques are being studied from small and medium scale industries development point of view. In future, some standard procedures may be developed for effective combination of the above techniques which would help in running small and medium scale industries in a better fashion, ultimately leading to developed entrepreneurship, developed society, developed nation and developed world.  6  You are not authorised to download the PDF.  Selection of Flexible Manufacturing Systems using Data Envelopment Analysis  The present competitive environment in global market has forced the manufacturing organizations to reduce costs while improving the quality of products and responsiveness to the customers. Flexible manufacturing systems (FMS) offer opportunities to those organizations to improve their technology, competitiveness and profitability through a highly proficient and focused approach to manufacturing effectiveness. The decision makers often face the problem of selecting the most appropriate FMS for a given manufacturing organization. This paper attempts to solve this FMS selection problem in two steps.The first step is used to identify and shortlist the most efficient alternative flexible manufacturing systems having better performance characteristics using the Charnes, Cooper and Rhodes (CCR) model of data envelopment analysis (DEA). Then, the weighted overall efficiency ranking method of multi-attribute decision-making (MADM) theory is employed to determine the best FMS from the shortlisted ones. The results match well with those obtained by the past researchers.  

Bulletin of Materials Science Volume 34, No. 5, August 2011


CONTENTS

Combustion synthesis and structural characterization of Li–Ti mixed nanoferrites
R M Sangshetti, V A Hiremath and V M Jali
Synthesis of Mn-doped CeO2 nanorods and their application as humidity sensors
C H Hu, C H Xia, F Wang, M Zhou, P F Yin and X Y Han
Preparation and investigation of Al–4 wt% B4nanocomposite powders using mechanical milling
Alizadeh, E Taheri-Nassaj and H R Baharvandi
Helical H-type aggregation of trimeric p-phenylene vinylene with chiral ester groups
Haiquan Zhang, Ying Li and Peng Wang
XRD spectra of new YBaCuO superconductors
Sujinnapram, P Udomsamuthirun, T Kruaehong, T Nilkamjon and S Ratreng
Cost-effective electrostatic-sprayed SrAl2O4:Eu2+ phosphor coatings by using salted solgel derived solution
Kyu-Seog Hwang, Bo-An Kang, Sung-Dai Kim, Seung Hwangbo and Jim-Tae Kim
AC impedance and dielectric spectroscopic studies of Mg2+ ion conducting PVAPEG blended polymer electrolytes
Anji Reddy Polu and Ranveer Kumar
Conductivity and dielectric studies on (Na0·4Ag0·6)2PbP2O7 compound
Haibado Mahamoud, B Louati, F Hlel and K Guidara
Synthesis, surface characterization and optical properties of 3-thiopropionic acid capped ZnS:Cu nanocrystals
Ashish Tiwari, S A Khan and R S Kher
Room-temperature ferromagnetic properties of Cu-doped ZnO rod arrays
C H Xia, C G Hu, C H Hu, Z Ping and F Wang
Synthesis, structure and low temperature study of electric transport and magnetic properties of GdSr2MnCrO7
Devinder Singh, Meena Sharma, Sushma Sharma and Rajinder Singh
Study of dependence of magnetic properties on seeding temperature in fine particles of Cu0·25Co0·25Zn0·5Fe2O4
Hina Bhargava, V D SudheeshSnehal Jani, N Lakshmi and K Venugopalan
Influence of 1523 K annealing on phase and magnetic properties in (Gd1xErx)5Si2Ge2 compounds
Xiang Chen, Yungui Chen and Yangbo Tang
Effect of particle size on microstructure and strength of porous spinel ceramics prepared by pore-forming in situ technique
Wen Yan, Nan Li, Yuanyuan Li, Guangping Liu, Bingqiang Han and Juliang Xu
On statistical behaviour of stress drops in PortevinLe Chatelier effect
Chatterjee, P Mukherjee, N Gayathri, P Barat, Arnab Barat and A Sarkar
Synthesis and photoluminescence characterization of Ce3+ and Dy3+ activated ALa(WO4)2(A = Na and Li) novel phosphors
Parag Nimishe and S J Dhoble
Catalytic oxidation of cyclohexane to cyclohexanone and cyclohexanol by tert-butyl hydroperoxide over Pt/oxide catalysts
Rekkab-Hammoumraoui, A Choukchou-Braham, L Pirault-Roy and C Kappenstein
Computation of X-ray powder diffractograms of cement components and its application to phase analysis and hydration performance of OPC cement

Rohan Jadhav and N C Debnath
In vitro bioactivity and cytocompatibility of tricalcium silicate

Xiaoming Liao, Hongyang Zhu, Guangfu Yin, Zhongbing Huang, Yadong Yao and Xianchun Chen
Preparation of SnO2/C biomorphic materials by biotemplating from ramie fibres

Xin-Hai He, Le-Hua Qi, Jun-Bo Wang, Ming-Qian Shen, Wei Chang, Chong Fu, Min-Ge Yang and Xiao-Lei Su

IETE Journal of Research- July-August 2011


ARTICLES 
Scanning the Issuep. 297
Shiban K Koul
DOI:10.4103/0377-2063.86255  
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Smartcard-based Secret Distribution for Secure Fingerprint Verificationp. 299
Hanna Choi, Sungju Lee, Yongwha Chung, Hyeonjoong Cho, Wooyong Choi, Sungbum Pan
DOI:10.4103/0377-2063.86263  
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Genetic Algorithm-based Data Association and Multiple Filter Bank-based Target Tracking in Infrared Image Sequencesp. 308
Mukesh A Zaveri, SN Merchant, Uday B Desai
DOI:10.4103/0377-2063.86270  
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Transformation of Emotion Based on Acoustic Features of Intonation Patterns for Hindi Speech and their Perceptionp. 318
Anurag Jain, SS Agrawal, Nupur Prakash
DOI:10.4103/0377-2063.86274  
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Fuzzy Edge Detection Based on Maximum Entropy Thresholdingp. 325
Sanjay Kumar Singh, Kirat Pal, Madhav J Nigam
DOI:10.4103/0377-2063.86281  
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Morphological Segmentation Based Fuzzy Features for Retrieval of Brain MRIp. 331
Prashant Vitthalrao Ingole, Kishore D Kulat
DOI:10.4103/0377-2063.86283  
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Design and Optimization of Integrated MOS Varactors for High-tunability RF Circuitsp. 346
Harikrishnan Ramiah, Tun Zainal Azni Zulkifli
DOI:10.4103/0377-2063.86308  
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A New mm-Wave GaAs~Ga0.52 In0.48 P Heterojunction IMPATT Diodep. 351
SR Pattanaik, JK Mishra, GN Dash
DOI:10.4103/0377-2063.86315  
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A 2.4 GHz High Linearity Subthreshold Current Mode Folded CMOS Mixerp. 357
Shuaijun Yuan, Chunhua Wang, Minglin Ma
DOI:10.4103/0377-2063.86323  
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Modeling of Human Voice Box in VLSI for Low Power Biomedical Applicationsp. 363
Nikhil Raj, RK Sharma
DOI:10.4103/0377-2063.86337  
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Detection of Left Ventricular Myocardial Contours from Ischemic Cardiac MR Imagesp. 372
Sarada Prasad Dakua, JS Sahambi
DOI:10.4103/0377-2063.86338  
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Biometric Cryptosystem based on Keystroke Dynamics and K-medoidsp. 385
Vicente Alarcon-Aquino, Hector Augusto Garcia-Baleon, Juan Manuel Ramirez-Cortes, Pilar Gomez-Gil, Oleg Starostenko