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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 217
OPTIMIZATION OF MICRO AIR VEHICLE AIRFOIL
N.S.K.Teja1
, AVRK Teja2
, J.Sri Harsha3
, S.Ganesh4
, K.V.Ramana5
1,2,3,4
Final Year Students Department of Mechanical Engineering, K L University-522502
5
Professor, Department of Mechanical Engineering, K L University-522502
skt041@gmail.com
Abstract
Micro Air Vehicles (MAVs) are small and undetectable, with a wing span of around 150mm and weighs 200 grams. Over the past
decade, MAVs are gaining importance in research due to their unique capability. They are untraceable by humans at 100m above
the ground level. In MAVs airfoils play a major role to maximize the lift and minimize the drag forces. In the present work two
airfoils of different configuration have been selected. Modeling has been done using solid works, by plotting coordinates of the
airfoils specified by NACA. For both the configurations of airfoils Polyethylene Terephthalate material was selected due to its
light weight and impact resistant properties. Static and dynamic analysis has been taken up to investigate the behavior of selected
configurations. At the end, most optimum shape of airfoil is suggested.
Key Words: Micro Air Vehicle, Airfoil, NACA, Reynolds Number.
--------------------------------------------------------------------***----------------------------------------------------------------------
1. INTRODUCTION
Micro aerial vehicles are very small, having the aspect ratio
of 1to1.5, and operate at relatively low Reynolds
Numbers [1]. There are three types of MAVs. They are
fixed wing, flapping wing and rotary wing. Over the past
decade, MAVs have received an increasing amount of
attention due to their unique capabilities in missions such as
covert imaging, biological and chemical agent detection,
battlefield surveillance, traffic monitoring and urban
intelligence gathering. MAVs generally fly in the Reynolds
number (ReNo) range of 1000 to 120000. Their performance
is poor at low ReNos due to induced losses. A good airfoil
choice for MAVs will try to accomplish several goals such
as to delay the onset of the laminar separation and therefore
flow separation, to achieve a maximum lift coefficient and
to keep induced as well as profile drag at a minimum. The
theoretical investigation carried out in this study has
emphasized the design optimization of fixed wing of Micro
Air Vehicle. Several areas need to be carefully considered
for the selection of a practical airfoil, including
aerodynamics. The salient features of using MAVs have
resulted in the establishment of some researches towards the
optimization and enhancement of airfoils [2]. The first
comprehensive research on MAV was conducted in 1993 by
RAND institution. [3,4].
2. SELECTION
Airfoils for MAV which hovers at a height of 100m from
the ground are selected for a Reynolds Number of 45000.
For the selected height and stipulated Reynolds Number
R140 and E203 as shown in Figs 1 and 2 have been selected
for investigation. Other test conditions are
Density of air = 1.225 Kg/m3
Velocity of air = 15m/s
Pressure = 1 atm
Fig-1: Airfoil Of R140
Fig-2: Airfoil of E203
3. MODELING
The coordinates for the selected airfoils have been obtained
from NACA. The chord lengths for MAV are 125mm at the
root and 100mm at the tip. Coordinates for chord length of
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 218
125x100mm have been established. The airfoils are modeled
in SOLID WORKS and drawn using curve through
coordinates option. Loft command is used to model the
airfoil as a solid object as shown in Fig.3.
Fig-3: Modeling using loft command
4. MESHING
Volume Tetra element is selected and meshing of the airfoil
as shown in Fig.4 and subsequently surface meshing is
verified using mask command, as shown in Fig.5.
Fig-4: Volume tetra mesh
Fig-5: Mask image
5. Load Calculation
The load on the airfoil is the combination of lift and drag.
For the analysis only lift force is considered as it deviates
the drag force and which will be perpendicular to the cross
section of airfoil. The lift load is obtained using Kutta –
Joukowski equation, as given below.
F= ( ρ*V*L*Г)
Where F= Force, ρ= Density, V= Velocity, L= Span, Г=
Circulation.
6. ANALYSIS
For the static and dynamic analysis, the calculated load is
applied uniformly over all the nodes, by fixing an end of the
airfoil.
7. RESULTS
Maximum stress and displacement of E203 are shown in
Fig.6 and Fig.7 and natural frequencies are presented in
Table.1.
Fig-6: Maximum Stress
Fig-7: Maximum Displacement
Table-1: Natural Frequencies of E203
S.no Frequency
1 SUB1-F1=6.05302E+02
2 SUB1-F2=1.26551E+03
3 SUB1-F3=2.40485E+03
4 SUB1-F4=2.54152E+03
5 SUB1-F5=2.85621E+03
6 SUB1-F6=3.24924E+03
7 SUB1-F7=4.20052E+03
8 SUB1-F8=4.52728E+03
9 SUB1-F9=4.99478E+03
10 SUB1-F10=5.10725E+03
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 219
Fig.8 and Fig.9 shows the maximum stress and maximum
displacement of R140 and natural frequencies are presented
in Table.2.
Fig-8: Maximum Stress
Fig-9: Maximum Displacement
Table-2: Natural Frequencies of R140
S.no Frequency
1 SUB6-F1=5.57019E+02
2 SUB6-F2=1.05592E+03
3 SUB6-F3=2.16667E+03
4 SUB6-F4=2.44012E+03
5 SUB6-F5=2.85378E+03
6 SUB6-F6=2.89090E+03
7 SUB6-F7=3.89946E+03
8 SUB6-F8=4.39612E+03
9 SUB6-F9=4.86644E+03
10 SUB6-F10=5.05874E+03
8. CONCLUSIONS
The aim of the investigation is to optimize the shape of
MAV airfoil which hovers at a height of 100m. Based on
Reynolds Number, parameters are selected for analysis to
suggest an optimum airfoil. From the results it can be
concluded that E203 airfoil is efficient than R140 under
stipulated operating conditions.
9. REFERENCES
[1]. Rahul Balki, Akash Thakur, Sagar Sakhrekar, and
Manish Wankhede, “Micro-Air Vehicle for
Surveillance”. International Conference on Advances
in Engineering & Technology-2014 (ICAET-2014)
page no.53.
[2]. Mostafa Hassanalian, Mahmud Ashrafizaadeh, Saeed
Ziaei-Rad, Mohmmad Reza Radmanesh, “A new
method for design of fixed wing Micro Air Vehicle”,
page no.1.
[3]. Gabriel E .Torres and Thomas J .Mueller, Low aspect
ratio wing aerodynamics at low Reynolds numbers,
University of Notre Dame, Notre Dame, Indiana
46556,AIAA JOURNAL MAY 2004.
[4]. Thomas J .Mueller, and James C, Kellogg.
“Introduction to the Design of Fixed-Wing Micro Air
Vehicle”.2006.
BIOGRAPHIES
K.V.Ramana. Obtained his PhD from
Andhra University. Guided Seven Doctoral
Thesis and published 50 papers. Completed
four funded projects. Till date, has put in 34
years of teaching and research experience.
N.S.K.Teja AVRK Teja
J.Sri Harsha S.Ganesh

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Optimization of micro air vehicle airfoil

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 217 OPTIMIZATION OF MICRO AIR VEHICLE AIRFOIL N.S.K.Teja1 , AVRK Teja2 , J.Sri Harsha3 , S.Ganesh4 , K.V.Ramana5 1,2,3,4 Final Year Students Department of Mechanical Engineering, K L University-522502 5 Professor, Department of Mechanical Engineering, K L University-522502 skt041@gmail.com Abstract Micro Air Vehicles (MAVs) are small and undetectable, with a wing span of around 150mm and weighs 200 grams. Over the past decade, MAVs are gaining importance in research due to their unique capability. They are untraceable by humans at 100m above the ground level. In MAVs airfoils play a major role to maximize the lift and minimize the drag forces. In the present work two airfoils of different configuration have been selected. Modeling has been done using solid works, by plotting coordinates of the airfoils specified by NACA. For both the configurations of airfoils Polyethylene Terephthalate material was selected due to its light weight and impact resistant properties. Static and dynamic analysis has been taken up to investigate the behavior of selected configurations. At the end, most optimum shape of airfoil is suggested. Key Words: Micro Air Vehicle, Airfoil, NACA, Reynolds Number. --------------------------------------------------------------------***---------------------------------------------------------------------- 1. INTRODUCTION Micro aerial vehicles are very small, having the aspect ratio of 1to1.5, and operate at relatively low Reynolds Numbers [1]. There are three types of MAVs. They are fixed wing, flapping wing and rotary wing. Over the past decade, MAVs have received an increasing amount of attention due to their unique capabilities in missions such as covert imaging, biological and chemical agent detection, battlefield surveillance, traffic monitoring and urban intelligence gathering. MAVs generally fly in the Reynolds number (ReNo) range of 1000 to 120000. Their performance is poor at low ReNos due to induced losses. A good airfoil choice for MAVs will try to accomplish several goals such as to delay the onset of the laminar separation and therefore flow separation, to achieve a maximum lift coefficient and to keep induced as well as profile drag at a minimum. The theoretical investigation carried out in this study has emphasized the design optimization of fixed wing of Micro Air Vehicle. Several areas need to be carefully considered for the selection of a practical airfoil, including aerodynamics. The salient features of using MAVs have resulted in the establishment of some researches towards the optimization and enhancement of airfoils [2]. The first comprehensive research on MAV was conducted in 1993 by RAND institution. [3,4]. 2. SELECTION Airfoils for MAV which hovers at a height of 100m from the ground are selected for a Reynolds Number of 45000. For the selected height and stipulated Reynolds Number R140 and E203 as shown in Figs 1 and 2 have been selected for investigation. Other test conditions are Density of air = 1.225 Kg/m3 Velocity of air = 15m/s Pressure = 1 atm Fig-1: Airfoil Of R140 Fig-2: Airfoil of E203 3. MODELING The coordinates for the selected airfoils have been obtained from NACA. The chord lengths for MAV are 125mm at the root and 100mm at the tip. Coordinates for chord length of
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 218 125x100mm have been established. The airfoils are modeled in SOLID WORKS and drawn using curve through coordinates option. Loft command is used to model the airfoil as a solid object as shown in Fig.3. Fig-3: Modeling using loft command 4. MESHING Volume Tetra element is selected and meshing of the airfoil as shown in Fig.4 and subsequently surface meshing is verified using mask command, as shown in Fig.5. Fig-4: Volume tetra mesh Fig-5: Mask image 5. Load Calculation The load on the airfoil is the combination of lift and drag. For the analysis only lift force is considered as it deviates the drag force and which will be perpendicular to the cross section of airfoil. The lift load is obtained using Kutta – Joukowski equation, as given below. F= ( ρ*V*L*Г) Where F= Force, ρ= Density, V= Velocity, L= Span, Г= Circulation. 6. ANALYSIS For the static and dynamic analysis, the calculated load is applied uniformly over all the nodes, by fixing an end of the airfoil. 7. RESULTS Maximum stress and displacement of E203 are shown in Fig.6 and Fig.7 and natural frequencies are presented in Table.1. Fig-6: Maximum Stress Fig-7: Maximum Displacement Table-1: Natural Frequencies of E203 S.no Frequency 1 SUB1-F1=6.05302E+02 2 SUB1-F2=1.26551E+03 3 SUB1-F3=2.40485E+03 4 SUB1-F4=2.54152E+03 5 SUB1-F5=2.85621E+03 6 SUB1-F6=3.24924E+03 7 SUB1-F7=4.20052E+03 8 SUB1-F8=4.52728E+03 9 SUB1-F9=4.99478E+03 10 SUB1-F10=5.10725E+03
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 05 Issue: 03 | Mar-2016, Available @ http://www.ijret.org 219 Fig.8 and Fig.9 shows the maximum stress and maximum displacement of R140 and natural frequencies are presented in Table.2. Fig-8: Maximum Stress Fig-9: Maximum Displacement Table-2: Natural Frequencies of R140 S.no Frequency 1 SUB6-F1=5.57019E+02 2 SUB6-F2=1.05592E+03 3 SUB6-F3=2.16667E+03 4 SUB6-F4=2.44012E+03 5 SUB6-F5=2.85378E+03 6 SUB6-F6=2.89090E+03 7 SUB6-F7=3.89946E+03 8 SUB6-F8=4.39612E+03 9 SUB6-F9=4.86644E+03 10 SUB6-F10=5.05874E+03 8. CONCLUSIONS The aim of the investigation is to optimize the shape of MAV airfoil which hovers at a height of 100m. Based on Reynolds Number, parameters are selected for analysis to suggest an optimum airfoil. From the results it can be concluded that E203 airfoil is efficient than R140 under stipulated operating conditions. 9. REFERENCES [1]. Rahul Balki, Akash Thakur, Sagar Sakhrekar, and Manish Wankhede, “Micro-Air Vehicle for Surveillance”. International Conference on Advances in Engineering & Technology-2014 (ICAET-2014) page no.53. [2]. Mostafa Hassanalian, Mahmud Ashrafizaadeh, Saeed Ziaei-Rad, Mohmmad Reza Radmanesh, “A new method for design of fixed wing Micro Air Vehicle”, page no.1. [3]. Gabriel E .Torres and Thomas J .Mueller, Low aspect ratio wing aerodynamics at low Reynolds numbers, University of Notre Dame, Notre Dame, Indiana 46556,AIAA JOURNAL MAY 2004. [4]. Thomas J .Mueller, and James C, Kellogg. “Introduction to the Design of Fixed-Wing Micro Air Vehicle”.2006. BIOGRAPHIES K.V.Ramana. Obtained his PhD from Andhra University. Guided Seven Doctoral Thesis and published 50 papers. Completed four funded projects. Till date, has put in 34 years of teaching and research experience. N.S.K.Teja AVRK Teja J.Sri Harsha S.Ganesh