Mathematical Modeling and numerical simulation for nanofluid flow with entropy optimization

Numerical simulation of heat transfer and separation Al 2 O 3 /nanofluid flow in concentric annular pipe

International Communications in Heat and Mass Transfer ◽

10.1016/j.icheatmasstransfer.2015.12.014 ◽

2016 ◽

Vol 71 ◽

pp. 108-117 ◽

Cited By ~ 20

Author(s):

Hussein Togun ◽

H.I. Abu-Mulaweh ◽

S.N. Kazi ◽

A. Badarudin

Keyword(s):

Heat Transfer ◽

Numerical Simulation ◽

Nanofluid Flow ◽

Annular Pipe

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Numerical simulation of heat transfer on nanofluid flow in an annular pipe with simultaneous embedding of porous discs and triangular fins

Journal of the Chinese Institute of Engineers ◽

10.1080/02533839.2020.1856729 ◽

2021 ◽

pp. 1-12

Author(s):

Zohreh Poursharif ◽

Hesamoddin salarian ◽

Kourosh Javaherdeh ◽

Majid Eshagh Nimvari

Keyword(s):

Heat Transfer ◽

Numerical Simulation ◽

Nanofluid Flow ◽

Simultaneous Embedding ◽

Annular Pipe

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Hybrid nanofluid flow over a stretched cylinder with the impact of homogeneous–heterogeneous reactions and Cattaneo–Christov heat flux: Series solution and numerical simulation

Heat Transfer ◽

10.1002/htj.22052 ◽

2021 ◽

Author(s):

Anthonysamy John Christopher ◽

Nanjundan Magesh ◽

Ramanahalli Jayadevamurthy Punith Gowda ◽

Rangaswamy Naveen Kumar ◽

Ravikumar Shashikala Varun Kumar

Keyword(s):

Numerical Simulation ◽

Heat Flux ◽

Series Solution ◽

Heterogeneous Reactions ◽

Hybrid Nanofluid ◽

Nanofluid Flow ◽

The Impact

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Mathematical modeling of sway, roll and yaw motions: order-wise analysis to determine coupled characteristics and numerical simulation for restoring moment’s sensitivity analysis

Acta Mechanica ◽

10.1007/s00707-009-0278-9 ◽

2010 ◽

Vol 213 (3-4) ◽

pp. 305-322 ◽

Cited By ~ 8

Author(s):

S. N. Das ◽

S. Shiraishi ◽

S. K. Das

Keyword(s):

Mathematical Modeling ◽

Numerical Simulation ◽

Sensitivity Analysis

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Numerical simulation of squeezing Cu–Water nanofluid flow by a kernel-based method

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s1793962322500052 ◽

2021 ◽

pp. 2250005

Author(s):

Mojtaba Fardi ◽

Yasir Khan

Keyword(s):

Numerical Simulation ◽

Hilbert Space ◽

Linear System ◽

Numerical Simulations ◽

Numerical Results ◽

Kernel Matrix ◽

Nanofluid Flow ◽

Parallel Disks ◽

Engineering Problems ◽

Well Conditioning

The main aim of this paper is to propose a kernel-based method for solving the problem of squeezing Cu–Water nanofluid flow between parallel disks. Our method is based on Gaussian Hilbert–Schmidt SVD (HS-SVD), which gives an alternate basis for the data-dependent subspace of “native” Hilbert space without ever forming kernel matrix. The well-conditioning linear system is one of the critical advantages of using the alternate basis obtained from HS-SVD. Numerical simulations are performed to illustrate the efficiency and applicability of the proposed method in the sense of accuracy. Numerical results obtained by the proposed method are assessed by comparing available results in references. The results demonstrate that the proposed method can be recommended as a good option to study the squeezing nanofluid flow in engineering problems.

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