Volume-4 Issue-6

  • Version
  • Download 16
  • File Size 4.00 KB
  • File Count 1
  • Create Date September 7, 2017
  • Last Updated October 21, 2017

Volume-4 Issue-6

 Download Abstract Book

S. No

Volume-4 Issue-6, June 2017, ISSN: 2319-9598 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



Shivaprakash K S, Devaraja A.S, Mohan A. E, Vijetha Vardhan R. N.

Paper Title:

Analytical and Numerical Simulation of Shell and Tube Heat Exchanger

Abstract: Shell and tube heat exchanger is the most common type of heat exchanger and widely used in oil refinery and other large chemical processes because it suite for high pressure application. In this project design of shell-and-tube heat exchanger is developed using analytical method. Then the CFD simulation will be carried out. Computational Fluid Dynamic (CFD) is a useful tool in solving and analysing problems that involve fluid flows, in this process in solving the simulation consist of modeling and meshing the basic geometry of shell and tube heat exchanger using the CFD package ANSYS Meshing Then, the boundary condition will be set before been simulate in Fluent 12.1 based on the analytical parameters. Then the CFD simulation of heat transfer in shell and tube heat exchanger model is validated against analytical method. Finally the optimization of baffle will be carried out to improve the stagnant zone and heat transfer in the segmented Shell and Tube Heat Exchanger.

computational fluid dynamics, Ansys 12.1, Shell and tube heat exchanger, Baffles cuts and Baffles orientation


1.          Shell and tube heat exchanger, Perry, Robert and Green, Don W. (1984). Perry's Chemical Engineers' Handbook, 6th Edition, McGraw-Hill.
2.          More accurate exchanger shell-side pressure drop calculations by D.Gulley & associates, Tulska Oklahoma.

3.          A Computer program for designing of shell and tube heat exchanger by Yusuf Ali Kara, Ozbilen guraras.

4.          Design and rating shell and tube heat exchangers by John E. Edwards.

5.          “ Effect of baffle cut and baffle spacing on the shell side main stream” by Ender ozden.Energy conversion and management 51 (2010) 1004-1014.

6.          Data hand book for Design of heat transfer equipments for thermal power plant by Mr.T.G Girish and Mr. V.G Gunjalli.

7.          “Transient heat exchanger response” by Juan yin, Michel K Jensen

8.          “More accurate exchanger shell-side pressure drop calculations” by D. gulley & associates, Tulska Oklahoma.






Queeneth Adesuwa Omoyibo–Kingsley, Achebo J.I.

Paper Title:

Genetic Algorithm for Optimization using Genealogy Plots to Investigate the Influences of Heat Input Ratio on Burn - Through Prevention at a GTAW Process

Abstract:  Gas Tungsten Arc Welding (GTAW) offers a variety of shielding gas for joining different steel plates with different thicknesses. It is a technique that enhances the service performance of welded joints using different gas flow rate values so as to have comparison between the joints made. To avoid weld burn-through, excessive heat input and too high welding current must be regulated at a GTAW process so as to  control welding current and achieve a sufficient heat input that  will prevent weld burn-through and produce quality welds free from spatter. During welding, escape of gas when prevented, will produce clean joints, slow cooling (allows gases to escape) and proper shielding (absorbing the gases C02, N2 and H2 from the atmosphere). This paper investigates burn-through prevention in welds produced, using Genetic Algorithm (GA) for optimization using genealogy plots to study the influence of Gas Flow Rate (F) ,welding current and heat input ratio on burn-through in welds. Genetic Algorithm was used for optimization in order to reach optimal solution after satisfying constraints used. In order to alleviate the problem that burn -through defect poses on welds, a matrix design was developed to determine the experimental results obtained and the results were applied to the GA model for optimization in order to obtain optimal values of responses as well as optimal values of input process parameters. Genealogy plots were used to validate the model. The genetic algorithm optimization results showed that the gas flow rate should be set to 17.67 lit/min for optimum input process parameter value. Heat input ratio optimal values of 21.96KJ/min and welding current optimal value set at 167.3 amperes were established.    

Genetic Algorithm (GA), Genealogy plots, Heat input Ratio, welding current (I), Burn-through defect and GTAW process


1. Shen.Y., Chen .R.M.M. (1995). Application of Genetic Algorithm for Response Surface Modeling in optimal Statistical Design.ISCAS’9 IEEE International Symposium on Circuit and Systems. 3(1): 2152-2155
2. Srivastava, R. and Goldberg, D. E. (2001).Verification of the theory of genetic and evolutionary continuation,  Genetic algorithms, in: Proceedings of 3rd International  Confrence on Genetic Algorithms, pp 2

3. Yu, T. L., Goldberg, D. E., Yassine, A. and Chen, Y.P. (2003). A genetic algorithm design inspired by organizational theory: pilot study of adependency structure matrix driven genetic algorithm, Artificial Neural Networks in Engineering (ANNIE), Pp .327-332.

4. Spears, W. (2011).The Role of Mutation and Recombination in Evolutionary Algorithms.A dissertation for Doctors of Philosophy at George Mason University.

Popov, A. (2003). Genetic Algorithm for optimization –application in the controller synthesis task. Department Systems and Control, Faculty Automatics, Technical University, Sofia.






Y. Pradeep Kumar Reddy, Y. Pramod Kumar Reddy, V. Vasugi 

Paper Title:

Experimental Studies on Ternary Blended Concrete

Abstract: Concrete is the most commonly used material in the construction. This paper suggests ternary blended concrete and results of an experimental investigation on concrete properties, By the addition of additional material with the partial replacement of cement, The properties  are going to be investigate are fresh properties and hardened properties of Ternary blended concrete. This paper discusses about the percentage to be added to get high strength and good durability.  Cement replaced with bagasse ash and marble powder of different proportions.

 Bagasse ash (B.A), marble powder (M.P) compressive strength, marsh cone test, consistency test, specific gravity.


1.        Evaluation and mix design for ternary blended high strength concrete by Rathan Raj et al.January an 12, 2013
2.        Effect of Relative Levels of Mineral Admixtures on Strength of Concrete with Ternary Cement Blend by Kanchan Mala et al. vol 7 September2013.

3.       Pozzolana Cement-Fly Ash Based. Bureau of Indian Standards, New Delhi, India. BIS: 456-2000, 2000. Indian Standard Plain and Reinforced Concrete-Code of             Practice.Bureau of Indian Standards, New Delhi, India.

4.        Studies on Compressive Strength Of Ternary Blended Concretes At Different Water Binder Ratios  byD. Audinarayana. Vol 7, September 2014

5.        Ricehusk ash blended cement: assessment of optimal of replacement for strength and permeability properties of concrete by K. Ganesan 20 August 2007

6.        Chloride penetration in binary and ternary blended cement concretes as measured by two different rapid methods by M.Sharfuddin March 4, 2008

7.        Comparative mechanical properties of different ternary blended concrete by Deepa A .Sinha volume 1 October 2012.

8.        Influence of preparation method on performance of ternaryblended cements by Tongshengzhang et al.2 May 2014.

9.        Shear strength of ternary blended fiber reinforced concrete beams using hooked fibers by MohamuthaharHussail et al. volume 2 January 2013

10.     Influence of Micro Silica and GGBS on Compressive Strength of Ternary Blended Concrete by S,VijayaBaskar Reddy volume 5 issue 03, March 2013.

11.     Sahu, A.K., and Sunil Kumar Sachan,  A.K.,2003. Questioned wastes finagle gate for concrete. Indian ConcreteJ.,845—848 Vol 2 issue 05 March 2011

12.     Study on strength and durability characteristics of ternary concrete by G.Saranya et alvolume 1issue 02-January -2008

13.     Study on strength properties of ternary blended concrete with fiber by Shree Shail B. Heggond , volume 2 issue 4 August 2012

14.     Strength of ternary blended cement concrete containing rice husk ash and saw dust ash by Odilade .I.O volume 3 issue 8 April 2014.

15.     Performance evaluation of ternary blended hybrid fiber reinforced concrete by Yatheesh Kumar .k et al.volume 2 2014

16.     Assessing the mechanical performance of ternary blended cement concrete incorporating periwinkle shell and bamboo leaf ashes volume 3 January 2013

17.     Guidelines in Code book of ACI Report 318 in mix design of ternary blended concrete

18.     Guidelines in code book of ACI Report 211.4R.93.in selection of coarse aggregate size






 P. Nalini, B.L. Malleswari

Paper Title:

 Modelling of X-Ray Image Retrieval System using Zone Based Transform Techniques

Abstract: Medical image retrieval based on its visual attributes is one of the prime aspects for the clinical decision making process. It can be beneficial and important to find other images of the same modality, the same anatomic region in disease identification. This results in improved healthcare system with increased efficiency. In this paper we proposed a model of medical image retrieval system that works on the features extracted from transformed coefficients by applying four different transformations viz. Discrete Fourier Transform (DFT), Discrete Sine Transform (DST), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Visual content of X-Ray images better expressed with textural features. The texture attributes computed from transformed domain shown superior performance over spatial domain computed GLCM matrix based features. So in this paper we presented the comparison analysis of the four transformation techniques, DFT, DST, DCT and DWT in analyzing the performance of medical image retrieval system. IRMA 2009 X-Ray image database was used for experimentation. X-Ray image retrieval worked well with regionally computed attributes over global features, transform coefficients computed by partitioning the images into 64 regular regions of 16 x 16 in size. Images retrieved by finding the similarity between the region wise feature vectors. Among the four transformations, DWT and DCT result with more than 75% Mean Average Precision (MAP) at 100% recall rate.

Index Terms: CBMIR, RBIR, Transform techniques, Zoning.


  2. Nalini, Dr. B. L. Malleswari," An Empirical Study and Comparative Analysis of Medical Image Retrieval and Classification Techniques", at 2nd IEEE International Conference on Electrical, Computer and Communication Technologies IEEE ICECCT 2017, pp: 587-595.
  3. Lehmann, Thomas Martin, Berthold B. Wein, Daniel Keysers, Michael Kohnen, and Henning Schubert. "A monohierarchical multiaxial classification code for medical images in content-based retrieval." In Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on, pp. 313-316. IEEE, 2002.
  4. https://ganymed.imib.rwth-aachen.de/irma/datasets_en.php
  5. Nalini, Mrs. P., and B. L. Malleswari. "Review on Content Based Image Retrieval: From Its Origin to the New Age." International Journal of Research Studies in Science, Engineering and Technology2 (2016): 18-41.
  6. Yip, P., and K. Rao. "A fast computational algorithm for the discrete sine transform." IEEE Transactions on Communications2 (1980): 304-307.
  7. Ahmed, Nasir, T_ Natarajan, and Kamisetty R. Rao. "Discrete cosine transform." IEEE transactions on Computers1 (1974): 90-93.
  8. Bae, Hee-Jung, and Sung-Hwan Jung. "Image retrieval using texture based on DCT." Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on. Vol. 2. IEEE, 1997.
  9. Lu, Zhe-Ming, Su-Zhi Li, and Hans Burkhardt. "A content-based image retrieval scheme in JPEG compressed domain." International Journal of Innovative Computing, Information and Control4 (2006): 831-839.
  11. Smith, John R., and Shih-Fu Chang. "Transform features for texture classification and discrimination in large image databases." Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference. Vol. 3. IEEE, 1994.
  12. Heil, Christopher E., and David F. Walnut. "Continuous and discrete wavelet transforms." SIAM review4 (1989): 628-666.
  13. Graps, Amara. "An introduction to wavelets." IEEE computational science and engineering2 (1995): 50-61.
  14. Belhallouche, Lakhdar, Kamel Belloulata, and Kidiyo Kpalma. "A new approach to region based image retrieval using shape adaptive discrete wavelet transform." International Journal of Image, Graphics and Signal Processing1 (2016): 1.
  15. Kekre, H. B., Sudeep D. Thepade, and Akshay Maloo. "Comprehensive performance comparison of Cosine, Walsh, Haar, Kekre, Sine, slant and Hartley transforms for CBIR with fractional coefficients of transformed image." International Journal of Image Processing (IJIP)3 (2011): 336.
  16. Kumar, Sasi, and Y. Kumarswamy. "Medical image matching and retrieval using discrete sine transform." Int J Comp Sci Eng9 (2010): 2880-2882.
  17. Porwik, Piotr, and Agnieszka Lisowska. "The Haar-wavelet transform in digital image processing: its status and achievements." Machine graphics and vision1/2 (2004): 79-98.
  18. Nalini, Mrs P., and B. L. Malleswari. "An Empirical Study and Comparative Analysis of Content Based Image Retrieval (CBIR) Techniques with Various Similarity Measures."
  19. Nalini, Mrs P., and B. L. Malleswari. "Performances of Different Color Representations in Image Retrieval and Classification: A Comparative Analysis." International Journal12 (2016).