Sirajul Islam
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sirajul Islam has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Haider Ali Biswas
Khulna University
2 shared publications - Sajib Mandal
Department of Mathematics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh
2 shared publications - Ifsana Karim
Discipline of Chemical Engineering, University of Newcastle, NSW-2308, Australia
1 shared publication - Mohammad Wahiduzzaman
Mathematics Discipline, Khulna University, Khulna, Bangladesh
1 shared publication - Saiful Islam
Department of Mathematics Gopalganj Science and Technology University Gopalganj Bangladesh
1 shared publication - Shakhaoath Khan
Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
1 shared publication
Latest Publications
- 27 September 2021
- Published by Springer Nature in Modeling Earth Systems and Environment
- Vol. 8 (3) , 3073-3088
Modeling with strategies to control the adverse effects of global warming on marine ecosystems
- 27 September 2021
- Published by Springer Nature in Modeling Earth Systems and Environment
- Vol. 8 (3) , 3073-3088
Modeling with strategies to control the adverse effects of global warming on marine ecosystems
- 31 July 2020
- Published by Springer Nature in Modeling Earth Systems and Environment
- Vol. 7 (3) , 1783-1796
Modeling the potential impact of climate change on living beings near coastal areas
- 31 July 2020
- Published by Springer Nature in Modeling Earth Systems and Environment
- Vol. 7 (3) , 1783-1796
Modeling the potential impact of climate change on living beings near coastal areas
- Open Access
- 1 July 2014
- Published by Springer Nature in Nano Convergence
- Vol. 1 (1) , 1-13
MHD boundary layer radiative, heat generating and chemical reacting flow past a wedge moving in a nanofluid
The present study analyzed numerically magneto-hydrodynamics (MHD) laminar boundary layer flow past a wedge with the influence of thermal radiation, heat generation and chemical reaction. This model used for the momentum, temperature and concentration fields. The principal governing equations is based on the velocity u w (x) in a nanofluid and with a parallel free stream velocity u e (x) and surface temperature and concentration. Similarity transformations are used to transform the governing nonlinear boundary layer equations for momentum, thermal energy and concentration to a system of nonlinear ordinary coupled differential equations with fitting boundary conditions. The transmuted model is shown to be controlled by a number of thermo-physical parameters, viz. the magnetic parameter, thermal convective parameter, mass convective parameter, radiation-conduction parameter, heat generation parameter, Prandtl number, Lewis number, Brownian motion parameter, thermophoresis parameter, chemical reaction parameter and pressure gradient parameter. Numerical elucidations are obtained with the legendary Nactsheim-Swigert shooting technique together with Runge–Kutta six order iteration schemes. Comparisons with previously published work are accomplished and proven an excellent agreement.
- 1 July 2014
- Published by Springer Nature in Nano Convergence
- Vol. 1 (1) , 1-13
Open AccessMHD boundary layer radiative, heat generating and chemical reacting flow past a wedge moving in a nanofluid
The present study analyzed numerically magneto-hydrodynamics (MHD) laminar boundary layer flow past a wedge with the influence of thermal radiation, heat generation and chemical reaction. This model used for the momentum, temperature and concentration fields. The principal governing equations is based on the velocity u w (x) in a nanofluid and with a parallel free stream velocity u e (x) and surface temperature and concentration. Similarity transformations are used to transform the governing nonlinear boundary layer equations for momentum, thermal energy and concentration to a system of nonlinear ordinary coupled differential equations with fitting boundary conditions. The transmuted model is shown to be controlled by a number of thermo-physical parameters, viz. the magnetic parameter, thermal convective parameter, mass convective parameter, radiation-conduction parameter, heat generation parameter, Prandtl number, Lewis number, Brownian motion parameter, thermophoresis parameter, chemical reaction parameter and pressure gradient parameter. Numerical elucidations are obtained with the legendary Nactsheim-Swigert shooting technique together with Runge–Kutta six order iteration schemes. Comparisons with previously published work are accomplished and proven an excellent agreement.