Tehseen Abbas

Dr. Tehseen Abbas


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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11 November 2016 in Applied Sciences
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Journal Article
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Tasawar HayatTasawar Hayat
Tasawar Hayat
TATehseen Abbas
Tehseen Abbas
MAMuhammad Ayub
Muhammad Ayub
TMTaseer Muhammad
Taseer Muhammad
AAAhmed Alsaedi
Ahmed Alsaedi
The present communication examines the magnetohydrodynamic (MHD) squeezing flow of Jeffrey nanofluid between two parallel disks. Constitutive relations of Jeffrey fluid are employed in the problem development. Heat and mass transfer aspects are examined in the presence of thermophoresis and Brownian motion. Jeffrey fluid subject to time dependent applied magnetic field is conducted. Suitable variables lead to a strong nonlinear system. The resulting systems are computed via homotopic approach. The behaviors of several pertinent parameters are analyzed through graphs and numerical data. Skin friction coefficient and heat and mass transfer rates are numerically examined.

8 June 2016 in Entropy
Verified
Journal Article
Open access
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TATehseen Abbas
Tehseen Abbas
MAMuhammad Ayub
Muhammad Ayub
Muhammad Mubashir BhattiMuhammad Mubashir Bhatti
Muhammad Mubashir Bhatti
MRMohammad Mehdi Rashidi
Mohammad Mehdi Rashidi
Mohamed Elsayed Mahmoud AliMohamed Elsayed Mahmoud Ali
Mohamed Elsayed Mahmoud Ali
In this article, entropy generation on viscous nanofluid through a horizontal Riga plate has been examined. The present flow problem consists of continuity, linear momentum, thermal energy, and nanoparticle concentration equation which are simplified with the help of Oberbeck-Boussinesq approximation. The resulting highly nonlinear coupled partial differential equations are solved numerically by means of the shooting method (SM). The expression of local Nusselt number and local Sherwood number are also taken into account and discussed with the help of table. The physical influence of all the emerging parameters such as Brownian motion parameter, thermophoresis parameter, Brinkmann number, Richardson number, nanoparticle flux parameter, Lewis number and suction parameter are demonstrated graphically. In particular, we conferred their influence on velocity profile, temperature profile, nanoparticle concentration profile and Entropy profile.

10 August 2017 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
TATehseen Abbas
Tehseen Abbas
THT. Hayat
T. Hayat
MAM. Ayub
M. Ayub
Muhammad Mubashir BhattiMuhammad Mubashir Bhatti
Muhammad Mubashir Bhatti
AAA. Alsaedi
A. Alsaedi