Natural convection from heated fin shapes in a nanofluid-filled porous cavity using incompressible smoothed particle hydrodynamics

Abdelraheem M. Aly, Zehba Raizah, Mitsuteru Asai

Research output: Contribution to journalArticle

Abstract

Purpose: This study aims to focus on the numerical simulation of natural convection from heated novel fin shapes in a cavity filled with nanofluid and saturated with a partial layer of porous medium using improved incompressible smoothed particle hydrodynamics (ISPH) method. Design/methodology/approach: The dimensionless of Lagrangian description for the governing equations were numerically solved using improved ISPH method. The current ISPH method was improved in term of wall boundary treatment by using renormalization kernel function. The effects of different novel heated (Tree, T, H, V, and Z) fin shapes, Rayleigh number Ra(103 – 106), porous height Hp (0.2-0.6), Darcy parameter Da(10−5 − 10−1) and solid volume fraction ϕ(0.0-0.05) on the heat transfer of nanofluid have been investigated. Findings: The results showed that the variation on the heated novel fin shapes gives a suitable choice for enhancement heat transfer inside multi-layer porous cavity. Among all fin shapes, the H-fin shape causes the maximum stream function and Z-fin shape causes the highest value of average Nusselt number. The concentrations of the fluid flows in the nanofluid region depend on the Rayleigh and Darcy parameters. In addition, the penetrations of the fluid flows through porous layers are affected by porous heights and Darcy parameter. Originality/value: Natural convection from novel heated fins in a cavity filled with nanofluid and saturated with a partial layer of porous medium have been investigated numerically using improved ISPH method.

Original languageEnglish
JournalInternational Journal of Numerical Methods for Heat and Fluid Flow
DOIs
Publication statusPublished - Jan 1 2019

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Nanofluid
Natural Convection
Natural convection
Hydrodynamics
Cavity
Fins (heat exchange)
Porous materials
Flow of fluids
Heat transfer
Porous Media
Fluid Flow
Nusselt number
Heat Transfer Enhancement
Partial
Volume fraction
Stream Function
Rayleigh number
Kernel Function
Volume Fraction
Dimensionless

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

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title = "Natural convection from heated fin shapes in a nanofluid-filled porous cavity using incompressible smoothed particle hydrodynamics",
abstract = "Purpose: This study aims to focus on the numerical simulation of natural convection from heated novel fin shapes in a cavity filled with nanofluid and saturated with a partial layer of porous medium using improved incompressible smoothed particle hydrodynamics (ISPH) method. Design/methodology/approach: The dimensionless of Lagrangian description for the governing equations were numerically solved using improved ISPH method. The current ISPH method was improved in term of wall boundary treatment by using renormalization kernel function. The effects of different novel heated (Tree, T, H, V, and Z) fin shapes, Rayleigh number Ra(103 – 106), porous height Hp (0.2-0.6), Darcy parameter Da(10−5 − 10−1) and solid volume fraction ϕ(0.0-0.05) on the heat transfer of nanofluid have been investigated. Findings: The results showed that the variation on the heated novel fin shapes gives a suitable choice for enhancement heat transfer inside multi-layer porous cavity. Among all fin shapes, the H-fin shape causes the maximum stream function and Z-fin shape causes the highest value of average Nusselt number. The concentrations of the fluid flows in the nanofluid region depend on the Rayleigh and Darcy parameters. In addition, the penetrations of the fluid flows through porous layers are affected by porous heights and Darcy parameter. Originality/value: Natural convection from novel heated fins in a cavity filled with nanofluid and saturated with a partial layer of porous medium have been investigated numerically using improved ISPH method.",
author = "Aly, {Abdelraheem M.} and Zehba Raizah and Mitsuteru Asai",
year = "2019",
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