NISCAIR Online Periodicals Repository

NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR)  >
NISCAIR PUBLICATIONS >
Research Journals >
Indian Journal of Chemical Technology (IJCT) >
IJCT Vol.13 [2006] >
IJCT Vol.13(6) [November 2006] >


Title: Application of optimum ANN architecture for heat exchanger modeling
Authors: Mandavgane, S A
Pandharipande, S L
Keywords: ANN
Shell and tube heat exchanger and modeling
Optimization
Issue Date: Nov-2006
Publisher: CSIR
IPC CodeC09K5/00
Abstract: The shell and tube heat exchanger is a common type used for heating or cooling of process fluids. The various parameters to be taken into account for developing a model are inlet and outlet temperatures of shell and tube side fluids and their flow rates. Artificial Neural Networks (ANN) are effective in modeling of non-linear multi variable relationships and also referred as black box models. For modeling of shell and tube heat exchanger, ANN architecture has been optimized. In this paper the optimized ANN architecture is employed for water-20% glycerin and water-40% glycerin systems for estimation of exit temperature of both the fluids as a function of inlet temperature conditions and also flow rates. It is observed that ANN model with three hidden layers (4-15-15-15-2) has good level of accuracy (98-99.5%) for predicted values of training and test data set.
Page(s): 634-639
ISSN: 0975-0991 (Online); 0971-457X (Print)
Source:IJCT Vol.13(6) [November 2006]

Files in This Item:

File Description SizeFormat
IJCT 13(6) 634-639.pdf191.94 kBAdobe PDFView/Open
 Current Page Visits: 1151 
Recommend this item

 

National Knowledge Resources Consortium |  NISCAIR Website |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2012 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 639127 since 06-Feb-2009  Last updated on 15-Dec-2014Webmaster: nopr@niscair.res.in