Grant: Discovery Grants Program - Individual
Royal Military College of Canada
$23,000.00
Numerical Investigation of Separation-Induced Transition and LSB Dynamics in Low-Reynolds Number Flows
FY 2016-17
Summary
Numerical Investigation of Separation-Induced Transition and LSB Dynamics in Low-Reynolds Number FlowsThe low Reynolds number flow regime has become a popular field of study in aerodynamics since the advent of unmanned aerial vehicles (UAV) and microaerial vehicles (MAV). Driving this interest is the particular laminar to turbulent flow transition process, commonly referred to as the laminar separation bubble (LSB). LSB formation and dynamics are responsible for most aerodynamic performance degradations in this flow regime, including loss of maximum and average lift, decreased stall angle, decreased pitching moments, etc. The LSB has also been shown to be strongly dependent on airfoil geometry and incidence conditions (angle of attack, Reynolds number, free stream turbulence intensity, etc.). The thorough investigation of this complex transition phenomenon is required in order to (1) better understand the physical fundations, (2) improve the predictability of flight in this regime, (3) derive performance correlations, and (4) optimize future designs. This project proposes an extensive investigation using the URANS approach for its cost-effectiveness, as well as higher fidelity CFD tools (LES and hybrid URANS/LES) for a more physically sound description. My expertise in the numerical investigation of different academic and engineering problems, using a variety of tools allows me to affirm that a significant contribution will result from this project.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
371550-2013
Name nom
GoniBoulama, Kiari
Department département
Mechanical Engineering
Organization id
30
Institution établissement
Royal Military College of Canada
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2013
Award amount
23000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Partie
4
Nb partie
5
Application title
Numerical Investigation of Separation-Induced Transition and LSB Dynamics in Low-Reynolds Number Flows
Keyword
NSERC
Application summary
Numerical Investigation of Separation-Induced Transition and LSB Dynamics in Low-Reynolds Number FlowsThe low Reynolds number flow regime has become a popular field of study in aerodynamics since the advent of unmanned aerial vehicles (UAV) and microaerial vehicles (MAV). Driving this interest is the particular laminar to turbulent flow transition process, commonly referred to as the laminar separation bubble (LSB). LSB formation and dynamics are responsible for most aerodynamic performance degradations in this flow regime, including loss of maximum and average lift, decreased stall angle, decreased pitching moments, etc. The LSB has also been shown to be strongly dependent on airfoil geometry and incidence conditions (angle of attack, Reynolds number, free stream turbulence intensity, etc.). The thorough investigation of this complex transition phenomenon is required in order to (1) better understand the physical fundations, (2) improve the predictability of flight in this regime, (3) derive performance correlations, and (4) optimize future designs. This project proposes an extensive investigation using the URANS approach for its cost-effectiveness, as well as higher fidelity CFD tools (LES and hybrid URANS/LES) for a more physically sound description. My expertise in the numerical investigation of different academic and engineering problems, using a variety of tools allows me to affirm that a significant contribution will result from this project.