Salman Saleem

Dr. Salman Saleem

Department of Mathematics, College of Science, King Khalid University, Abha 61413, Saudi Arabia

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 February 2021 in Alexandria Engineering Journal
Verified
Journal Article
Open access
DGD. Gopal
D. Gopal
SSSalman Saleem
Salman Saleem
SJS. Jagadha
S. Jagadha
FAFarooq Ahmad
Farooq Ahmad
AAA. Othman Almatroud
A. Othman Almatroud
Kishan NaikotiKishan Naikoti
Kishan Naikoti

14 June 2018 in Microsystem Technologies
Verified
Journal Article
Closed access
PDF file
SSSalman Saleem
Salman Saleem
SNSohail Nadeem
Sohail Nadeem
MRMohammad Mehdi Rashidi
Mohammad Mehdi Rashidi
CHAKRAVARTHULA S K RAJUCHAKRAVARTHULA S K RAJU
CHAKRAVARTHULA S K RAJU

1 June 2018 in Results in Physics
Verified
Journal Article
Open access
NANadeem Abbas
Nadeem Abbas
SSSalman Saleem
Salman Saleem
SNSohail Nadeem
Sohail Nadeem
AAA.A. Alderremy
A.A. Alderremy
QKQudrat Ullah Khan
Qudrat Ullah Khan

6 July 2020 in Journal of Thermal Analysis and Calorimetry
Verified
Journal Article
Closed access
PDF file
AAAamir Ali
Aamir Ali
ANA. Noreen
A. Noreen
SSSalman Saleem
Salman Saleem
AAA. F. Aljohani
A. F. Aljohani
MAM. Awais
M. Awais

19 March 2021 in Coatings
Verified
Journal Article
Open access
PDF file
HRHaroon Ur Rasheed
Haroon Ur Rasheed
SSS. Saleem
S. Saleem
SISaeed Islam
Saeed Islam
SSSalman Saleem
Salman Saleem
ZKZeeshan khan
Zeeshan khan
WKWaris Khan
Waris Khan
This article investigates unsteady magnetohydrodynamic (MHD) mixed convective and thermally radiative Jeffrey nanofluid flow in view of a vertical stretchable cylinder with radiation absorption and heat; the reservoir was addressed. The mathematical formulation of Jeffrey nanofluid is established based on the theory of boundary layer approximations pioneered by Prandtl. The governing model expressions in partial differential equations (PDEs) form was transformed into dimensionless form via similarity transformation technique. The set of nonlinear nondimensional partial differential equations are solved with the help of the homotopic analysis method. For the purpose of accuracy, the optimizing system parameters, convergence, and stability analysis of the analytical algorithm (CSA) were performed graphically. The velocity, temperature, and concentration flow are studied and shown graphically with the effect of system parameters such as Grashof number, Hartman number, Prandtl number, thermal radiation, Schmidt number, Eckert number, Deborah number, Brownian parameter, heat source parameter, thermophoresis parameter, and stretching parameter. Moreover, the consequence of system parameters on skin friction coefficient, Nusselt number, and Sherwood number is also examined graphically and discussed.

6 February 2019 in RSC Advances
Verified
Journal Article
Open access
PDF file
MSMuhammad Sadiq
Muhammad Sadiq
AKArif Ullah Khan
Arif Ullah Khan
SSSalman Saleem
Salman Saleem
SNSohail Nadeem
Sohail Nadeem
The particular inquiry is made to envision the characteristics of magneto-hydrodynamic oscillatory oblique stagnation point flow of micropolar nanofluid. The applied magnetic field is assumed parallel towards isolating streamline. A relative investigation is executed for copper and alumina nanoparticles while seeing water type base fluid. To be more specific, in the presence of both weak and strong concentration, the physical situation of micropolar fluid is mathematically modeled in terms of differential equations. The transformed mixed system is finally elucidated by midpoint method with the Richardson extrapolation development and shooting mechanism with fifth order R–K Fehlberg technique. The impact of governing parameters are shown and explored graphically. The obtained results are compared with existing published literature. Moreover, it is found that the magnetic susceptibility of nanofluids shows provoking nature towards copper as compared to Alumina. Also it is perceived that Cu–water shows higher wall shear stress and heat transfer rate than Al2O3–water. Additional, the thickness of momentum boundary layer is thin for weak concentration as related to strong concentration.