Juan Zhang

Dr. Juan Zhang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 June 2022 in Fractal and Fractional
Verified
Journal Article
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JZJuan Zhang
Juan Zhang
ARAli Raza
Ali Raza
UKUmair Khan
Umair Khan
QAQASIM ALI
QASIM ALI
AZAurang Zaib
Aurang Zaib
Ahmed GalalAhmed Galal
Ahmed Galal
The functional implications of substances, such as retardation and relaxation, can be studied for magnetized diffusion coefficient based on the relative increase throughout magnetization is a well-known realization. In this context, we have explored the Oldroyd-B hybrid nanofluid flowing through a pored oscillating plate along with an inclined applied magnetics effect. The slipping effect and sinusoidal heating conditions are also supposed to be under consideration. An innovative and current classification of fractional derivatives, i.e., Prabhakar fractional derivative and Laplace transform, are implemented for the result of transformed leading equations. The graphical representation is also described to understand the physical implementation of all effecting parameters. In order to justify and physically examine the considered problem, some limiting cases, the rate of heat and mass transfer, and friction factors are also analyzed. As a result, we have concluded that the thermal enhancement can be improved more progressively with the interaction of silver-water-based nanofluid suspension compared to copper-nanoparticles mixed nanofluid. Furthermore, It has examined the impact of both parameters, i.e., time relaxation Ω1 and retardation Ω2 is opposite of the momentum field.

2 July 2021 in Frontiers in Physics
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Journal Article
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FWFuzhang Wang
Fuzhang Wang
JZJuan Zhang
Juan Zhang
IAImtiaz Ahmad
Imtiaz Ahmad
AFAamir Farooq
Aamir Farooq
HAHijaz Ahmad
Hijaz Ahmad
A one-step new general mesh free scheme, which is based on radial basis functions, is presented for a viscous wave equation with variable coefficients. By constructing a simple extended radial basis function, it can be directly applied to wave propagation by using the strong form-based mesh free collocation method. There is no need to deal with the time-dependent variable particularly. Numerical results for a viscous wave equation with variable coefficients show that the proposed mesh free collocation method is simple with accurate solutions.

27 January 2022 in Nanomaterials
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Journal Article
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YJYingzi Jiang
Yingzi Jiang
JZJuan Zhang
Juan Zhang
TAThabet Abdeljawad
Thabet Abdeljawad
SAShafiq Ahmad
Shafiq Ahmad
MKM Naveed Khan
M Naveed Khan
Ahmed El-ShafayAhmed El-Shafay
Ahmed El-Shafay
The effect of Stefan blowing on the Cattaneo–Christov characteristics of the Blasius–Rayleigh–Stokes flow of self-motive Ag-MgO/water hybrid nanofluids, with convective boundary conditions and a microorganism density, are examined in this study. Further, the impact of the transitive magnetic field, ablation/accretion, melting heat, and viscous dissipation effects are also discussed. By performing appropriate transformations, the mathematical models are turned into a couple of self-similarity equations. The bvp4c approach is used to solve the modified similarity equations numerically. The fluid flow, microorganism density, energy, and mass transfer features are investigated for dissimilar values of different variables including magnetic parameter, volume fraction parameter, Stefan blowing parameter, thermal and concentration Biot number, Eckert number, thermal and concentration relaxation parameter, bio-convection Lewis parameter, and Peclet number, to obtain a better understanding of the problem. The liquid velocity is improved for higher values of the volume fraction parameter and magnetic characteristic, due to the retardation effect. Further, a higher value of the Stefan blowing parameter improves the liquid momentum and velocity boundary layer thickness.

10 July 2019 in Wuhan University Journal of Natural Sciences
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Journal Article
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FWFuzhang Wang
Fuzhang Wang
KZKehong Zheng
Kehong Zheng
CLCongcong Li
Congcong Li
JZJuan Zhang
Juan Zhang
The boundary knot method (BKM) is a boundary-type meshfree method. Only non-singular general solutions are used during the whole solution procedures. The effective condition number (ECN), which depends on the right-hand side vector of a linear system, is considered as an alternative criterion to the traditional condition number. In this paper, the effective condition number is used to help determine the position and distribution of the collocation points as well as the quasi-optimal collocation point numbers. During the solution process, we propose an NMN-search algorithm. Numerical examples show that the ECN is reliable to measure the feasibility of the BKM.

4 April 2022 in Frontiers in Physics
Verified
Journal Article
Open access
LZL Zhang
L Zhang
FWFz Wang
Fz Wang
JZJuan Zhang
Juan Zhang
YWYy Wang
Yy Wang
SNS Nadeem
S Nadeem
TNTa Nofal
Ta Nofal
In this work, a CMFS method based on the analogy equation method, the radial basis function and the method of fundamental solutions for linear and nonlinear convection-diffusion equations in anisotropic materials is presented. The analog equation method is utilized to transform the linear and nonlinear convection-diffusion equation into an equivalent one. The expressions of the homogeneous solution and particular solution are derived by utilizing the radial basis function approximation and the method of fundamental solutions, respectively. By enforcing the desired solution to satisfy the original convection-diffusion equation with boundary conditions at boundary and internal collocation points yield a nonlinear system of equations, which can be solved by using the Newton-Raphson iteration or the Picard method of iteration. The error convergence curves of the proposed meshless method have been investigated by using different globally supported radial basis functions. Numerical experiments show that the proposed CMFS method is promising for anisotropic convection-diffusion problems with accurate and stable results.

24 September 2021 in Journal of Mathematics
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Journal Article
Open access
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JZJuan Zhang
Juan Zhang
MSMei Sun
Mei Sun
EHEnran Hou
Enran Hou
MZMa Zhaoxing
Ma Zhaoxing
The traditional radial basis function parameter controls the flatness of these functions and influences the precision and stability of approximation solution. The coupled radial basis function, which is based on the infinitely smooth radial basis functions and the conical spline, achieves an accurate and stable numerical solution, while the shape parameter values are almost independent. In this paper, we give a quasi-optimal conical spline which can improve the numerical results. Besides, we consider the collocation points in the Chebyshev-type which improves solution accuracy of the method with no additional computational cost.