Abstract

The heat exchanger is a device in which heat transfer takes place between two fluids at different temperatures. Among various classifications of heat exchangers, parallel and counter flow types are used widely in many industrial applications. This paper presents two fuzzy logic expert systems (FLESs), one for parallel-flow and another for counter-flow double-pipe heat exchanger (DPHE). Such FLESs are capable of predicting the exit temperature of heat carrier fluids and its effectiveness in an accurate manner. In total, 96 sets of experiments have been conducted for parallel and counter flow types under different combinations of the mass flow rate. The performance accuracy of the fuzzy logic expert system is measured by comparing fuzzy predicted results with experimental data sets. Such a comparison indicates a good agreement between experimental data sets and fuzzy predicted results. The accuracy of the parallel-flow FLES in predicting the exit temperature and its effectiveness is 92.78% and 95%, respectively. The accuracy of the counter-flow FLES in predicting the exit temperature and its effectiveness is 94.28% and 95.5%, respectively.

References

References
1.
Nag
,
P. K.
,
2011
,
Heat and Mass Transfer Textbook
,
3rd ed.
,
Tata McGraw Hill Ltd
,
New Delhi, India
.
2.
Omidi
,
M.
,
Farhadi
,
M.
, and
Jafari
,
M.
,
2017
, “
A Comprehensive Review on Double Pipe Heat Exchangers
,”
Appl. Therm. Eng.
,
110
(
1
), pp.
1075
1090
. 10.1016/j.applthermaleng.2016.09.027
3.
Qian
,
S.
,
Yu
,
J.
, and
Yan
,
G.
,
2017
, “
A Review of Regenerative Heat Exchange Methods for Various Cooling Technologies
,”
Renewable Sustainable Energy Rev.
,
69
(
3
), pp.
535
550
. 10.1016/j.rser.2016.11.180
4.
Sheikholeslami
,
M.
, and
Ganji
,
D. D.
,
2016
, “
Heat Transfer Improvement in a Double Pipe Heat Exchanger by Means of Perforated Turbulators
,”
Energy Convers. Manage.
,
127
(
11
), pp.
112
123
. 10.1016/j.enconman.2016.08.090
5.
Bejan
,
A.
,
Alalaimi
,
M.
,
Lorente
,
S.
,
Sabau
,
A. S.
, and
Klett
,
J. W.
,
2016
, “
Counter Flow Heat Exchanger With Core and Plenums at Both Ends
,”
Int. J. Heat Mass Transfer
,
99
(
8
), pp.
622
629
. 10.1016/j.ijheatmasstransfer.2016.03.117
6.
Gorman
,
J. M.
,
Krautbauer
,
K. R.
, and
Sparrow
,
E. M.
,
2016
, “
Thermal and Fluid Flow First-Principles Numerical Design of an Enhanced Double Pipe Heat Exchanger
,”
Appl. Therm. Eng.
,
107
(
8
), pp.
194
206
. 10.1016/j.applthermaleng.2016.06.134
7.
Shirvan
,
K. M.
,
Ellahi
,
R.
,
Mirzakhanlari
,
S.
, and
Mamourian
,
M.
,
2016
, “
Enhancement of Heat Transfer and Heat Exchanger Effectiveness in a Double Pipe Heat Exchanger Filled With Porous Media: Numerical Simulation and Sensitivity Analysis of Turbulent Fluid Flow
,”
Appl. Therm. Eng.
,
109
(
Part A
), pp.
761
774
. 10.1016/j.applthermaleng.2016.08.116
8.
Lambert
,
J.
, and
Gosselin
,
L.
,
2018
, “
Sensitivity Analysis of Heat Exchanger Design to Uncertainties of Correlations
,”
Appl. Therm. Eng.
,
136
(
5
), pp.
531
540
. 10.1016/j.applthermaleng.2018.03.037
9.
Sridharan
,
M.
,
Jayaprakash
,
G.
,
Chandrasekar
,
M.
,
Vigneshwar
,
P.
,
Paramaguru
,
S.
, and
Amarnath
,
K.
,
2018
, “
Prediction of Solar Photovoltaic/Thermal (PV/T) Collector Power Output Using Fuzzy Logic
,”
ASME J. Sol. Energy Eng.
,
140
(
6
), p.
061013
. 10.1115/1.4040757
10.
Rizwan
,
M.
,
Jamil
,
M.
,
Kirmani
,
S.
, and
Kothari
,
D. P.
,
2014
, “
Fuzzy Logic Based Modeling and Estimation of Global Solar Energy Using Meteorological Parameters
,”
Energy
,
70
(
6
), pp.
685
691
. 10.1016/j.energy.2014.04.057
11.
Ruiz-Mercado
,
C.
,
Pacheco-Vega
,
A.
, and
Palacious
,
Elvia.
,
2008
, “
A Takagi-Sugeno Fuzzy Model of a Concentric-Tubes Heat Exchanger
,”
ASME International Mechanical Engineering Congress and Exposition
,
Boston, MA
,
Oct. 31–Nov. 6
.
12.
Khairul
,
M. A.
,
Hossain
,
A.
,
Saidur
,
R.
, and
Alim
,
M. A.
,
2014
, “
Prediction of Heat Transfer Performance of CuO/Water Nanofluids Flow in Spirally Corrugated Helically Coiled Heat Exchanger Using Fuzzy Logic Technique
,”
Comput. Fluids
,
100
(
9
), pp.
123
129
. 10.1016/j.compfluid.2014.05.007
13.
Maidi
,
A.
,
Diaf
,
M.
, and
Corriou
,
J.-P.
,
2008
, “
Optimal Linear PI-Fuzzy Controller Design of a Heat Exchanger
,”
Chem. Eng. Process.
,
47
(
5
), pp.
938
945
. 10.1016/j.cep.2007.03.008
14.
Delmotte
,
F.
,
Dambrine
,
M.
,
Delrot
,
S.
, and
Lalot
,
S.
,
2013
, “
Fouling Detection in a Heat Exchanger: A Polynomial Fuzzy Observer Approach
,”
Control Eng. Pract.
,
21
(
10
), pp.
1386
1395
. 10.1016/j.conengprac.2013.06.004
15.
Zalnezhad
,
E.
,
Sarhan
,
A. A. D. M.
, and
Hamdi
,
M.
,
2013
, “
Surface Hardness Prediction of CrN Thin Film Coating on AL7075-T6 Alloy Using Fuzzy Logic System
,”
Int. J. Precis. Eng. Manuf.
,
14
(
3
), pp.
467
473
. 10.1007/s12541-013-0063-5
16.
Kothandaraman
,
C. P.
, and
Subramanyan
,
S.
,
2008
,
Heat and Mass Transfer Data Book
,
6th ed.
,
New Age International Publishers
,
New Delhi
.
17.
Ali
,
M. A. M.
,
El-Maghlany
,
W. M.
,
Eldrainy
,
Y. A.
, and
Attia
,
A.
,
2018
, “
Heat Transfer Enhancement of Double Pipe Heat Exchanger Using Rotating of Variable Eccentricity Inner Pipe
,”
Alexandria Eng. J.
,
57
(
4
), pp.
3709
3725
. 10.1016/j.aej.2018.03.003
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