Fuzzy Approach for the Synthesis of Mass Exchange Network

Print
 
Download Full Text
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 104 - Number 2
Year of Publication: 2014
Authors:
Nesma Younes
Said M. Abdallah
M. Abdel Alim
10.5120/18172-9058

Nesma Younes, Said M Abdallah and Abdel M Alim. Article: Fuzzy Approach for the Synthesis of Mass Exchange Network. International Journal of Computer Applications 104(2):5-11, October 2014. Full text available. BibTeX

@article{key:article,
	author = {Nesma Younes and Said M. Abdallah and M. Abdel Alim},
	title = {Article: Fuzzy Approach for the Synthesis of Mass Exchange Network},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {104},
	number = {2},
	pages = {5-11},
	month = {October},
	note = {Full text available}
}

Abstract

This article addresses a fuzzy logic approach to calculate the optimum minimum allowable composition difference (?) to target the minimum total annualized cost (TAC) of a mass exchange network (MEN), which is based on combining composition interval diagram (CID) with fuzzy set theory. The value of ? directly affect the TAC as a main constrain. By utilizing this decision algorithm it gives the opportunity to calculate the optimum composition difference by decision making from a wide range of assumed ?. This method is very simple and more convenient than the methods previously published; as the decision is taken without calculating TAC for every assumed ?.

References

  • Chen, C. -T. (2000). Extension of the TOPSIS for group decision making under fuzzy environment. Fuzzy sets and Systems , 1-9.
  • El-Halwagi, M. M. , & Manousiouthakis, V. (1990a). Automatic synthethisof mass exchange networks with single component targets. Chem. Eng. Science , 2813-2831.
  • El-Halwagi, M. (1999). Pollution Prevention through Mass Integration: Systematic design Tools.
  • El-Halwagi, M. (1997). Pollution prevention through process integration. San Diego: Academic Press.
  • El-Halwagi, M. , & Manousiouthakis, V. (1989). Synthesis of Mass Exchange Network. AlChE Journal , 1233-1244.
  • Fábio J. J. Santos, H. A. (December 2010). Fuzzy Systems for Multicriteria Decision Making. Clei Electronic Jornal, Vol. 13, No. 3, Paper 4.
  • Fraser, D. , & Shenoy, U. (2004). A new method for sizing mass exchange units without the singularity of thge Kremser equation. Comp. & Chem. Eng. , 2331-2335.
  • Hallale, N. (2001). Mass transfer technology for pollution prevention. London: M. M. Taylor & Francis.
  • M. Wagialla, El-Halwagi, M. M. , & Ponce-Ortega, J. M. (2012). An integrated approach to the optimization of in-plant wastewater interception with mass and property constrains. Clean Techn Environ Policy, 257-265.
  • Papalexandri, K. , Pistikopoulos, E. , & Floudas, C. (1994). Mass exchange networks for waste minimization: A simultaneous approach. Trans IChemE , 279-294.
  • Hallale, N. , & Fraser, D. (2000). Capital and total cost targets for mass exchange networks. Part 1: Simple capital cost models. Computers and Chemical Engineering , 1661 - 1679.
  • Hallale, N. , & Fraser, D. (2000). Supertargeting for Mass Exchange Network, Part I-II. Trans I Chem , 202-2016.
  • Cheng-Liang Chen & Ping-Sung Hung (2005). Simultaneous synthesis of mass exchange networks for waste minimization. Elsevier, 1561–1576.