Numerical investigation of heat transfer by an impinging jet using alumina–water nanofluid

Allauddin, Usman; Mahrukh, Mahrukh; Rehman, Naveed ur; Haque, M. Ehtesham-ul; Uddin, Naseem

doi:10.1080/10407782.2018.1538293

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…Various numerical studies dealing with the nanofluid jet impingement systems were also conducted by different researchers. Recently, Allauddin et al 19 in their numerical study found a satisfactory agreement of the numerically predicted results with the experimental data of the study reported in Reference [12]. ANSYS CFX with the shear‐stress transport (SST)

k ‐ ω

turbulence model was used to perform the numerical simulations.…”

Section: Introductionmentioning

confidence: 77%

“…However, this approach will highly increase the computational cost; hence, a steady‐state analysis is done to reduce the computational cost. A similar approach is also used by Brakmann et al 25 and many other researchers 4,11,19 . Zu et al 26 reported that the SST

k ‐ ω

model gives a good computational performance with a comparatively low computational cost for the case of an impinging jet system.…”

Section: Governing Equationsmentioning

confidence: 98%

“…Zu et al 26 reported that the SST

k ‐ ω

model gives a good computational performance with a comparatively low computational cost for the case of an impinging jet system. Peng et al 27 and Allauddin et al 19 found the SST

k ‐ ω

model to be the most appropriate model for the prediction of heat transfer performance of the nanofluid impinging jet system. Therefore, all numerical simulations reported in the current study are performed with the SST

k ‐ ω

turbulence model:

\frac{\partial k}{\partial t} + U_{j} \frac{\partial k}{\partial x_{j}} = P_{normalk} - β * k ω + \frac{\partial}{\partial x_{j}} true[(ν - σ_{k} ν_{t}) \frac{\partial k}{\partial x_{j}} true],

\frac{\partial ω}{\partial t} + U_{j} \frac{\partial ω}{\partial x_{j}} = α s^{2} - β ω^{2} + \frac{\partial}{\partial x_{j}} true[\begin{matrix} true \\ false(ν + σ_{ω} ν_{normalt} false) \frac{\partial ω}{\partial x_{i}} \end{matrix} true] + 2 false(1 - F false) σ_{ω 2} \frac{1}{ω} \frac{\partial k}{\partial x_{i}} \frac{\partial ω}{\partial x_{i}} .

…”

Section: Governing Equationsmentioning

confidence: 99%

“…A similar approach is also used by Brakmann et al 25 and many other researchers. 4,11,19 Zu et al 26 reported that the SST k ω model gives a good computational performance with a comparatively low computational cost for the case of an impinging jet system. Peng et al 27 and Allauddin et al 19 found the SST k ω model to be the most appropriate model for the prediction of heat transfer performance of the nanofluid impinging jet system.…”

Section: Introductionmentioning

confidence: 99%

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Nanoscale heat transfer investigation of an array of impinging jet systems with different working fluids under crossflow with and without pin fins

et al. 2020

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In the current numerical study, the thermal and flow field performance of an array of confined multiple jets with air, water, and water-Al 2 O 3 nanofluid in the maximum crossflow configuration over the target plate with and without pin fins is investigated. The numerical results are validated with the experimental data; it is found that a reasonable prediction related to heat transfer can be made. For this study, steadystate Reynolds-averaged Navier-Stokes simulations with the shear-stress transport k ω turbulence model in ANSYS Fluent were performed. The simulations are performed with volumetric concentration ϕ = 0.2% to 3% and the jet's Reynolds number Re = 15 000 to 35 000. In all cases, the jet outlet-to-target plate distance Z D / is 3. It is found that the increase in values of the volumetric concentration of nanoparticles results in a decrease of the Nusselt number and an increase of the convective heat transfer coefficient. This is because there is an increase in thermal conductivity of the working fluid with the increase in the volumetric concentration of nanoparticles for the same Reynolds number. About 81.5% and 89.1% enhancement in the average heat transfer flux values is observed for flat and pin fin-roughened target plates, respectively, for ϕ = 3%.

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k ‐ ω

turbulence model was used to perform the numerical simulations.…”

Section: Introductionmentioning

confidence: 77%

k ‐ ω

model gives a good computational performance with a comparatively low computational cost for the case of an impinging jet system.…”

Section: Governing Equationsmentioning

confidence: 98%

“…Zu et al 26 reported that the SST

k ‐ ω

model gives a good computational performance with a comparatively low computational cost for the case of an impinging jet system. Peng et al 27 and Allauddin et al 19 found the SST