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Volume-4 Issue-9: Published on February 15, 2017
Volume-4 Issue-9: Published on February 15, 2017

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Volume-4 Issue-9, February 2017, ISSN: 2319–6386 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



Muddasar Ali, Khadija Jalal, M. Ejaz Hassan

Paper Title:

Matlab Simulation of Variable Voltage Frequency Drive for 3-Phase Induction Motor Using Pulse Width Modulation (PWM) Technique

 Abstract:  Induction motors are widely used in many industrial processes. The speed of AC motors remains constant because it takes rated power from supply and therefore it causes problems when less motor speed is needed. Improvement in power electronics technology though advancements in semiconductor electronic devices have led to development of variable frequency motor drive (VFD), an electronic device used to control speed of an induction motor with increased efficiency, reliability and low cost. This paper carries out simulation of a variable frequency drive using MATLAB/SIMULINK model. Control of speed of induction motor was successfully achieved from zero to nominal speed by varying the frequency of Pulse width modulation (PWM) Generator.

PWM, VFD, Variable frequency drive, Pulse width modulation.


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2.    Krupa Gandhi,” Simulation of PWM inverter for VFD application” International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, Volume 10, Issue 4 (April 2014), PP.94-103

3.    Randall L. Foulke, Principles and Applications of Variable Frequency Drives NC AWNA. WEA Spring Conference New Bern, North Carolina April, 2009.

4.    Ned Mohan, Tore M. Undaland and William P. Robbins Power electronics (converters, application and design) third edition, John Wiley and sons INC.

5.    P.C. Sen Power electronics McGraw- Hill Education Private Limited, Second edition 2009. [4] Theraja A. Text book of electrical technology 1997, S. Chand and Company LTD.

6.    Dennis p. Connors, “Application considerations for AC drives”, IEEE Transactions on Industry Applications, Vol. IA-19, no. 3, pp. 455-460, May/June 1983 .

7.    Thomas A. Lipo, “Recent progress AC motor in the development of Solid-State Drives”, IEEE Transactions on Power Electronics, Vol. 3, no. 2, pp. 105-117, April 1988.

8.    Paresh C. Sen, “Electric motor drives and control-past, present, and future”, IEEE Transactions on Industrial Electronics, Vol. 37, no. 6, pp. 562-575, December 1990.

9.    S Takiyar “Hybrid Method for Control of Induction Motor”, International Journal of Computer and Electrical Engineering, Vol. 5, No. 4, pp.350-355, August 2013.




Daniel N. Njoroge

Paper Title:

Characterization of Single Walled Carbon Nanotubes using Comparative Laser Technique

 Abstract: This study was based on characterization of single walled carbon nanotubes (SWNTs) with Raman spectroscopy. The SWNTs samples were subjected to Raman scattering with lasers of 532 nm and 633 nm. The study outlines use of Raman spectroscope, preparation of samples under investigation, obtaining and finally analyzing the Raman spectra. In this study, the samples were prepared for Raman spectroscopy inspection, sampling parameters optimized to obtain good spectra and Raman spectra analyzed. Raman spectroscopy is an important material testing tool. It can be used to sort materials which have been mixed since every material has unique chemical structure which translates to a unique spectrum. Most importantly, it can also be used to identify defects in a sample.

 Carbon nanotubes, Raman spectroscopy.


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2.     Vandenabeele, P., Practical Raman Spectroscopy: An Introduction. 2013: John Wiley & Sons Ltd.

3.     Larkin, P., Infrared and Raman Spectroscopy: Principles and Spectra Interpretation. 2011: Elsevier.

4.     Jorio, et al., Characterizing carbon nanotube samples with resonance Raman scattering. New Journal of Physics, 2003. 5: p. 139.1-139.17}.

5.     Sergei M. Bachilo, et al., Structure-Assigned Optical Spectra of Single-Walled Carbon Nanotubes. Science, 2002. 298: p. 2361-2366.




Monicah Wairimu Chonge

Paper Title:

A Study on the Performance Improvement Measures for Contractors in Kenya 

Abstract:  The performance of contractors in the construction industry in Kenya as in many other parts of the world has been faulted and blamed as one of the reasons as to why they fail to secure major construction projects in the country. This has led to a number of studies aimed at finding out the factors affecting the performance of contractors in the various construction industries of the world, with the aim of finding ways of improving on it. This study therefore sought to find out the performance improvement measures that are specific to the construction industry in Kenya and that can be adopted in a bid to improve on the performance of contractors in the country. The study employed the qualitative strategy as well as the cross-sectional research design. Qualitative data was collected through the use of structured questionnaires with an open ended question which were administered to local contractors of category NCA 1, 2 and 3. The contractors were sampled using the stratified random sampling and the systematic random sampling techniques. The method used for data analysis was thematic analysis. Four themes stood out as measures that can be adopted to improve on the performance of contractors in the country. These were: financial, managerial, technical and external measures.

Performance improvement measures, Construction industry, Contractors performance


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8.       Fang, D. P., Xie, F., Huang, Y. X., & Li, H. (2004). Factor analysis-based studies on construction workplace safety management in China. International Journal of Project Management, 22(1), 43–49.

9.       Gunduz, M., & Hanna, A. S. (2005). Benchmarking change order impacts on productivity for electrical and mechanical projects. Building and Environment, 40, 1068–1075.

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18.    Rahman, I. A., Memon, A. H. A., A., Ade, A., & Abdullah, N. H. (2012). Modeling Causes of Cost Overrun in Large Construction Projects with Partial Least SquareSEM Approach: Contractor’s Perspective. Research Journal of Applied Sciences, 5.

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22.    Shen, L. Y., Li Hao, J., Tam, V. W. Y., & Yao, H. (2007). A checklist for assessing sustainability performance of construction projects. Journal of Civil Engineering and Management, 13(4), 273–281.

23.    Shen, L. Y., & Tam, V. W. Y. (2002). Implementation of environmental management in the Hong Kong construction industry. International Journal of Project Management, 20(7), 535–543.

24.    Teo, E. A. L., Ling, F. Y. Y., & Chong, A. F. W. (2005). Framework for project managers to manage construction safety. International Journal of Project Management, 23(4), 329–341.

25.    Tepper, B. J., Carr, J. C., Breaux, D. M., Geider, S., Hu, C., & Hua, W. (2009). Abusive supervision, intentions to quit, and employees’ workplace deviance: A power/dependence analysis. Organizational Behavior and Human Decision Processes, 109(2), 156–167.

26.    Törner, M., & Pousette, A. (2009). Safety in construction–a comprehensive description of the characteristics of high safety standards in construction work, from the combined perspective of supervisors and experienced workers. Journal of Safety Research, 40(6), 399–409.

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Cengiz POLAT

Paper Title:

An Enhanced Solid-Shell Element Formulation with Co-Rotational Approach

Abstract: An enhanced eight node solid-shell element formulation is demonstrated.  The enhanced strain method is used to alleviate the locking problems. A co-rotational formulation is adopted in the formulation, thus geometric nonlinearity is taken into account by the rotation of the local coordinate system. Several benchmark problems are studied to demonstrate the efficiency of the element.

Co-rotational formulation, solid-shell element, the enhanced strain method.


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4.       Wempner, G., 1969. Finite elements, finite rotations and small strains of flexible shells. The International Journal of Solids and Structures 5, 117-153.

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8.       Moita, GF., Crisfield, MA., 1996. A finite element formulation for 3-d continua using the co-rotational technique. International Journal of Numerical Methods in Engineering 39, 3775-3792.

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