CFP last date
20 January 2025
Reseach Article

Fuzzy C-means Modeling for Shell and Tube Heat Exchanger

Published on July 2014 by B. Dinesh, E. Sivaraman
Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ETEIAC - Number 1
July 2014
Authors: B. Dinesh, E. Sivaraman
e391aea0-b83a-4eb9-a48e-85ce617f8988

B. Dinesh, E. Sivaraman . Fuzzy C-means Modeling for Shell and Tube Heat Exchanger. Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ETEIAC, 1 (July 2014), 30-35.

@article{
author = { B. Dinesh, E. Sivaraman },
title = { Fuzzy C-means Modeling for Shell and Tube Heat Exchanger },
journal = { Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { July 2014 },
volume = { ETEIAC },
number = { 1 },
month = { July },
year = { 2014 },
issn = 0975-8887,
pages = { 30-35 },
numpages = 6,
url = { /proceedings/eteiac/number1/17331-1411/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A B. Dinesh
%A E. Sivaraman
%T Fuzzy C-means Modeling for Shell and Tube Heat Exchanger
%J Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ETEIAC
%N 1
%P 30-35
%D 2014
%I International Journal of Computer Applications
Abstract

A shell and tube heat exchanger is a class of heat exchanger designs seen most common type of heat exchanger in oil refineries and other large chemical processes, and is suited for higher-pressure applications. As its name implies, this type of heat exchanger consists of a shell (a large pressure vessel) with a bundle of tubes inside it. One fluid runs through the tubes, and another fluid flows over the tubes (through the shell) to transfer heat between the two fluids. In this paper, the mathematical modelling of Shell and tube heat exchanger is developed and transfer function is obtained using process reaction curve method. The PID controller for a shell and tube heat exchanger is designed using Z-N tuning method. The shell and tube heat exchanger is modeled using fuzzy c-means algorithm (FCM) and its output is compared with thatof actual shell and tube heat exchanger output.

References
  1. Subhransu Padhee. , 2011 Performance Evaluation of Different Conventional and Intelligent Controllers for Temperature Control of Shell and Tube Heat Exchanger System",MS Thesis Thapar University, India.
  2. Sivakumar, P. , Prabhakaran, D. ,Kannadasan, T. ,2012 Temperature Control of Shell and Tube Heat Exchanger Using Intelligent Controllers-Case Study. International Journal of Computational Engineering Research, Vol. 2 Issue. 8,pp 285-291.
  3. Saranya, E. ,Arulselvi, S. , 2013Design and Simulation of Conventional and Intelligent Controllers for Temperature Control Of Shell and Tube Heat Exchanger System, International Journal of Recent Technology and Engineering, Volume-2, Issue-3,pp. 4-11.
  4. Rajasekaran, S. , Kannadasan, T. 2010 ASimplified Predictive Control for a Shell and Tube Heat Exchanger, International Journal of Engineering Science and Technology, Vol. 2 (12), pp. 7245-7251.
  5. Swapnaneel Sarma, Das, D. H. , 2012 CFD Analysis of Shell and Tube Heat Exchanger using triangular fins for waste heat recovery process, Engineering Science and Technology: An International Journal, Vol. 2, No. 6,pp. 1033-1041.
  6. James C. Bezdek, Robert Ehrlich, William Full,1984 FCM: The Fuzzy c-Means Clustering Algorithm, Computers & Geosciences, Vol. 10, No. 2-3, pp. 191-203.
  7. ArunSivaram,Sainabha, M. ,Ramkumar, K. 2013 Parameter Identification and Control of a Shell and Tube Heat Exchanger, International Journal of Engineering and Technology, Vol 5, No 2,pp. 1589-1593.
  8. Amin Hadidi, Mojtaba Hadidi, Ali Nazari, 2013 A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view, Energy Conversion and Management, pp. 66–74.
  9. Rajasekaran, S. , Kannadasan, T. ,2012 Swarm Optimization based Controller for Temperature Control of a Heat Exchanger, International Journal of Computer Applications, Volume 38, No. 4, pp. 6-11.
Index Terms

Computer Science
Information Sciences

Keywords

Pid Fuzzy C-means Algorithm Clustering