Smail Boughou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Smail Boughou has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Ashraf Ali Omar
International University of Rabat – School of Aerospace and Automotive engineering – Parc Technopolis Rabat –Rocade de Rabat-Salé 11100 – Sala Al Jadida – Morocco
1 shared publication - Mohammed Abdulmalek Mohammed Aldheeb
Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
1 shared publication - Omer A. Elsayed
International University of Rabat
1 shared publication
Latest Publications
- Open Access
- 2 March 2022
- Published by Akademia Baru Publishing in CFD Letters
- Vol. 14 (2) , 111-121
Numerical Investigations of Aerodynamic Characteristics Prediction of High-lift Low Reynolds Number Airfoil
The Micro Aerial Vehicles (MAVs) operate at a critical range of low Reynolds number (Re). The implementation of the low (Re) aerodynamics for MAVs has brought interest into the study of high-lift low Re airfoils. Such investigations may bring new insight into the aerodynamic performance of MAVs flights. The aim of the current investigation is to exam different numerical methods in the aerodynamics prediction of high-lift low Reynolds number S1223 airfoil. For that purpose, the Spallart Allmaras (S-A), two equations SST K-ω and the four equations transition γ-Reθ SST turbulence models were used. Results revealed that the SA turbulence model can predict the pre-stall low angles of attack and provides a good agreement with experimental data and XFOIL results. Whereas the two-equation model SST-enhanced K-ɷ and the transition SST models predict better the unsteadiness of the stall behaviour. XFoil accurately predicts the highest lift coefficient, even if it occurs at a lower angle of attack. These results showed the promising ability of the transition SST selection in predicting the stall behaviour.
- 2 March 2022
- Published by Akademia Baru Publishing in CFD Letters
- Vol. 14 (2) , 111-121
Open AccessNumerical Investigations of Aerodynamic Characteristics Prediction of High-lift Low Reynolds Number Airfoil
The Micro Aerial Vehicles (MAVs) operate at a critical range of low Reynolds number (Re). The implementation of the low (Re) aerodynamics for MAVs has brought interest into the study of high-lift low Re airfoils. Such investigations may bring new insight into the aerodynamic performance of MAVs flights. The aim of the current investigation is to exam different numerical methods in the aerodynamics prediction of high-lift low Reynolds number S1223 airfoil. For that purpose, the Spallart Allmaras (S-A), two equations SST K-ω and the four equations transition γ-Reθ SST turbulence models were used. Results revealed that the SA turbulence model can predict the pre-stall low angles of attack and provides a good agreement with experimental data and XFOIL results. Whereas the two-equation model SST-enhanced K-ɷ and the transition SST models predict better the unsteadiness of the stall behaviour. XFoil accurately predicts the highest lift coefficient, even if it occurs at a lower angle of attack. These results showed the promising ability of the transition SST selection in predicting the stall behaviour.