242
Views
11
CrossRef citations to date
0
Altmetric
Articles

Numerical Analysis of a Small Size Baffled Shell-and-Tube Heat Exchanger Using Different Nano-Fluids

, &
Pages 141-153 | Published online: 01 May 2017
 

ABSTRACT

In this study, numerical simulation was used to investigate the effect of adding different nano-particles into the fluid on the performance of a baffled shell-and-tube heat exchanger. A three-dimensional modeling approach was followed to analyze the effect of different nano-fluids, at various volume fractions, as applied in a baffled shell-and-tube heat exchanger. Once finished with validating the grid independency and results, we proceeded to obtain heat transfer rate, pressure drop, outlet shell temperature and exchanger effectiveness for different volume fractions and particle size of different nano-fluids. The studied nano-particles in the present work included Al2O3, CuO, Fe2O3, Cu, Fe, SiO2, and Au, with water and ethylene glycol employed as base fluids. With constant mass flow rate for all cases, the results indicated that, the addition of nano-particles had reduced the heat transfer coefficient, pressure drop and the rate of heat transfer through the shell, even though it had increased outlet shell temperature. In other words, considering a constant heat transfer rate, the presence of nano-fluids in a baffled shell-and-tube heat exchanger is likely to be associated with increased outlet shell temperature. Another consequence presents that using ethylene glycol as base fluid leads to higher effectiveness compared with water as a base fluid in exchanger.

Nomenclature

A=

total heat transfer area (m2)

cp=

heat capacity (J/kg K)

Bc=

Baffle cut

B=

central baffle spacing (m)

Ds=

shell size (m)

do=

tube outer diameter (m)

dp=

nano-particle size (m)

df=

molecular diameter of the base liquid (m)

E=

total energy (J)

f=

friction coefficient

Δh=

head loss (m)

k=

thermal conductivity (W/m K)

kg=

Boltzmann constant

L=

heat exchanger length (m)

N=

Avogadro constant

Nt=

number of tubes

Nb=

number of baffles

Nu=

Nusselt number

M=

molecular weight (kg)

=

mass flow rate (kg/s)

p=

pressure (Pa)

Pr=

Prandtl number

=

heat transfer rate (W)

Sij=

strain tensor (s−1)

T=

temperature (K)

ΔTm=

mean logarithmic temperature difference (K)

U=

heat transfer coefficient (W/m2K)

=

Reynolds stress component (m2/s2)

ui=

velocity component (m/s)

xi=

direction component

Greek symbols

φ=

volume fractions (%)

ρ=

density (kg/m3)

δij=

Kronecker delta

μ=

viscosity (kg/m s)

ϵth=

thermal effectiveness

k-ϵ=

turbulent model

τij=

stress tensor (Pa)

Subscripts

ave=

average

b=

base fluid

c=

cold fluid

eff=

effective

f=

base fluid

f0=

base fluid calculated at 293 K

h=

hot fluid

in=

inlet

out=

outlet

np=

nano-particles

nf=

nano-fluid

p=

particle

Additional information

Notes on contributors

Ali Heydari

Ali Heydari is an assistant professor in the Mechanical Engineering Department at Semnan Islamic Azad University (IAU), Semnan, Iran. His research interests include computational fluid dynamics, unsteady aerodynamics, boundary layer characteristics, solar energy and nano-fluid heat transfer. He received a BS degree in Mechanical engineering and MS and PhD degrees in Energy Conversion from the Mechanical Engineering Department of Ferdowsi University, Iran. He is a reviewer for journals such as Environmental Progress & Sustainable Energy and Journal of Aerospace Engineering. He is a board founder of strategic research center of energy and sustainable development in Semnan IAU.

Mostafa Shateri

Mostafa Shateri graduated in Mechanical Engineering and Energy Conversion with a BS and MS degree respectively from the Islamic Azad University of Semnan, Iran. He is now a Ph.D. student there. His intrests include heat and mass transfer, vortex tubes and static mixers.

Sina Sanjari

Sina Sanjari graduated with a Master's degree in Materials Engineering (identification and selection of materials) from slamic Azad University of Semnan, Iran. He research intersrs are manufacturing process optimization and improved properties of materials by using nano-particles.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 323.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.