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1 Leapfrog © How to design a fuel-powered quadcopter with 3D printing

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Page 1: How to design a fuel-powered quadcopter with 3D printing white paper will describe the process of designing a fuel-powered quadcopter with the use of 3D printing. The document starts

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How to design a fuel-powered quadcopter with 3D

printing

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Table of Contents

Executive Summary .................................................................................................................... 3

1. Introduction............................................................................................................................ 4

2. Rotor Design ......................................................................................................................... 5

3. Concept Design ..................................................................................................................10

4. Detailed Design ..................................................................................................................23

5. Prototype Results ...............................................................................................................31

6. Conclusion ...........................................................................................................................37

7. References ..........................................................................................................................39

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Executive Summary

The white paper will describe the process of designing a fuel-powered quadcopter with

the use of 3D printing. The document starts off with a short introduction and is followed

by four main parts of research, namely the rotor design, concept design, detailed design

and prototype results. The rotor design touches on the momentum blade element theory

and the beam theory where it is described how the design for the rotors was chosen and

why. Concept design talks about the control subsystem, structure subsystem and the

power generation subsystem. Detailed design is about choosing other components of

the quadcopter, for example the engine and why they were chosen. The prototype results

show data for the simulation and real test. Lastly, there is a conclusion along with

recommendations for further design.

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1. Introduction

This white paper intends to develop a design methodology to manufacture custom model

multi-rotorcraft rotors using 3D printing techniques available at Leapfrog 3D Printers. In

accordance with the above statement, the following requirements for the design

methodology will also be met. Firstly, the resulting design will be printable at Leapfrog

3D Printers. Secondly, the resulting designs will be able to withstand the operating

conditions of similar model rotorcraft rotors. Lastly, the design methodology will be easy

to adapt to rotors of different sizes. The white paper is divided into four main sections,

namely rotor design, concept design, detailed design and prototype results. The section

on rotor design explains how the rotors will be designed and why and it also touches on

the momentum blade element theory and the beam theory. The concept design breaks

down the following components of the quadcopter, namely the control subsystem,

structure subsystem and the power generation subsystem. It is explained why the final

designs have been chosen and how they influence the quadcopter as a whole. Detailed

design touches on other components of the quadcopter, namely the rotor hubs, rotor

blades, engine, transmission system and frame layout and why the final design for each

component has been chosen. Lastly, the prototype results section shows data about the

simulation and test results compared to a bigger quadcopter.

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2. Rotor Design

Momentum blade element theory

Beam theory

The methodology used to determine rotor’s characteristics is based on a simplified

version of momentum blade element theory by Ruijgrok (2009). In order to start the

design process, the wanted thrust, rotor radius, blade count, lift coefficient distribution,

airfoil shape and chord distribution have to be specified. Then, the momentum blade

element theory can be used to calculate the rotational rate and blade twist distribution

necessary to create the wanted thrust. Once these parameters are known, the

aerodynamic coefficient distributions over the rotor blades can be calculated. Since the

rotational rate is also known, it is possible to calculate the force distribution over the rotor.

This makes it possible to calculate the drag moment acting on the rotor blades and

calculating the necessary power to achieve the wanted thrust.

Furthermore, the beam theory by Hibbeler (2008) can be used to calculate the internal

forces acting on each rotor blade. Since the airfoil shape and twist angle distributions are

known, the area moment of the blade’s inertia can be calculated at every radius. By

integrating the aerodynamic and centripetal force distributions, an accurate estimation of

the maximum internal stresses on each radial segment of the rotor can be made. This in

turn makes it possible to check if the rotors will survive the required operating conditions.

Since the resulting airfoils have a curved and twisted shape, it is almost impossible to

print them using an FDM technique because they lack a flat side which can be printed

against the bottom plate of the printer. In order to solve this problem, we can transpose

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each blade element ever so slightly in order for the top and the leading edge of the rotor

blades to align over the entire radius of the blades.

Figure 1: Example blade element alignment side views. Left: before correction, right: after correction .

In order to test the design, several prototypes were made. The first prototype was

unsuccessful. We attempted to print the complete rotor at once on the largest scale

possible. A simple rotor hub was designed to connect the three rotor blades together and

the rotor was supposed to be printed on the flat upper side. This failed due to the rotor

warping upwards and detaching from the printer bed.

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Figure 2: Unfinished rotor prototype.

The second prototype was printed in multiple parts, since the first prototype failed. This

also made it possible to print the parts on the leading edge. To test what works, two

blades were made, one printed on the leading edge down and another one the same

way as the first prototype. The rotor printed on the leading edge provided far superior

results, which can also be seen in the figures below. This is due to the fact that the upside

down prototype requires support material in order to create the correct shape, while the

other component can be printed without any support material. A drawback; however, is

that it does result in a slightly rougher bottom side of the airfoil since the printing surface

is perpendicular to the blade surface.

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Figure 3: Rotor blade example, printed upside down.

Figure 4: Rotor blade example, printed standing on the leading edge.

For the final prototype a simple joint was designed to fit all blades together.

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Figure 5: Final prototype rotor example.

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3. Concept Design

Control subsystem

Structure subsystem

Power generation subsystem

In order to create the most optimal design, it is important to investigate multiple

technology directions and to do this, three different concepts will be investigated.

It is important to split up the design into several, mostly independent subsystems since

this will provide a good overview of the design space available for the concept

generation. For the model multi-rotorcraft, three different subsystems can be

distinguished, namely the control subsystem, the power subsystem and the structure

subsystem.

In terms of the control system, there are several possible options. Traditionally, the

control of the model rotorcraft is achieved by altering the lift generated by the different

rotors, which is done by changing their rotational rate. A more recent option is control by

pitch adjustment. More fine-tuned control of the rotor is possible by using more complex

variable pitch rotors (Cutler, 2010). The third option is controlling the rotorcraft by using

deflection vanes right below the rotors. This is less effective than the two previously

mentioned systems due to the limited torque generation. The other side of the control

system exists in the controller itself. Even though variation is possible here, almost all

commercial systems use the same approach. This uses a 6-Degree Of Freedom Inertial

Measurement Unit (6-DOF IMU) in combination with a Global Navigation Satellite System

(GNSS) like GPS and altitude measurement. By using simple controllers, a system like

this allows complete and accurate control of the rotorcraft.

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The structure subsystem controls the layout of the rotorcraft itself. With this system, there

is a lot of variation possible between different rotor configurations, materials, and

construction. The rotor configuration is one of the most defining aspects of a rotorcraft

design. The most common choices are the X and H frame configurations. In former

configuration, the rotors are located at the ends of several booms which extend from a

main central body. This configuration is one of the most versati le since it can handle any

amount of rotors. However, there are drawbacks in the limited space available in the

center of the rotorcraft. This configuration is more interesting for systems, which have

significant amounts of parts in the main body of the rotorcraft. While the center beam is

free for mounting miscellaneous components, the rotors are located on the tips of the

cross beams. The main drawback of this configuration is that it tends to be heavier than

comparable X frames due to the amount of material, which is needed to keep the center

frame sturdy.

The final subsystem of the rotorcraft is the power generation subsystem, which can be

further divided into energy storage, power generation and power transmission. Since

almost all model multi-rotorcrafts are electricity based, this system traditionally consists

of high-energy density batteries. These batteries can store and discharge energy very

efficiently; however, their main drawback is the relatively low amount of energy they can

store compared to systems, which rely on combustion. For endurance systems, this

component tends to be responsible for majority of the rotorcraft weight. The power

generation system is responsible for transforming stored energy into mechanical power.

With electricity-based systems this happens through the use of lightweight brushless DC

motors, which are controlled by Electronic Speed Controllers (ESCs). Another approach

is using a small combustion engine to generate mechanical power directly from the

combustion of the fuel.

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Finally, a hybrid solution exists by using a fuel-powered engine coupled with a generator

to power an electrical system. The transmission system is responsible for bringing this

mechanical power to the rotors of the rotorcraft. Many models have the rotors mounted

directly on top of the motors powering them; however, it can be an advantage to power

all rotors from one central power source. In this case, a combination of shafts and belts

can be used to connect the rotors directly to the motor. The layout of this system is closely

intertwined with the chosen structure layout.

Based on these possibilities, three different concept designs are chosen to be further

investigated. The choice in the power generation system is considered to be the most

important difference due to its impact on the rotorcraft’s endurance. The first concept

design is mainly a reference design, featuring a fully electrical drive system with one

motor per rotor. This design is the closest to the current commercially available

rotorcrafts, and is the simplest option to develop. The second concept design features a

single combustion engine as the power generation system. This system features a

mechanical transmission to power all the rotors, which means the control system cannot

rely on the speed control to control the rotorcraft. To compensate for this, pitch control

can be used to stabilize the rotorcraft. The final concept design features the hybrid power

generation system. This system combines the simplicity of commercial model rotorcraft

control systems with the endurance of fuel-based systems. Its major drawback; however,

is the weight required for complex power generation system.

In order to make an accurate comparison between different concept designs, accurate

theory for sizing different rotorcraft models must be established. In terms of the

electricity-based design, an estimation of the rotorcraft endurance can be made by

solving the equations for total mass and power consumption using data of motor

efficiency and battery energy density. Firstly, data collected from T-motor (2013) is

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analyzed by correcting the produced lift and efficiency of the motor weight and the

matching rotor. The result can be seen below.

Figure 6: Net motor lift compared to motor efficiency of several brushless DC motors for model rotorcraft. Rotors

used are the largest rotors described in the engine model datasheets .

From this graph, we can conclude that the highest currently possible efficiency by using

COTS technology is 14g/W. Further research shows that the maximum storage density

of commercially available batteries has a maximum of approximately 0.2 Wh/g. If we

assume there is constant power consumption in hover, we can use these two variables

to calculate the maximum possible quadcopter endurance by solving the following

equation:

It is important to note that in this equation, the thrust is units of mass because the thrust

data is provided in grams at sea level. By substituting the mass of the batteries and the

thrust by power and endurance, we can write the following equation:

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The final unknown is the mass of the frame and the payload over the mass of the

batteries. If we assume the weight of the frame is negligible, we can calculate a maximum

theoretical flight time of 2.8 hours independent of mass. This flight time quickly decreases

as the frame and payload mass fraction increases. A practical number can be derived

from the fact that the frame mass of model rotorcraft is often approximately equal to the

mass of the batteries, which yields a practical flight time of 1.4 hours.

The sizing of the second concept design is more difficult. Due to the motor and rotor

performance data not readily available in this sector, estimations of performance will

have to be made using mostly theoretical analysis of the rotorcraft.

Firstly, it is necessary to generate a performance estimation of the variable pitch rotors

this concept requires. By using the momentum blade element theory adapted from

Ruijgrok (2009), we can provide an estimation of the thrust and power coefficients of

rotors similar in size to the rotors used by the motors from the first concept. These rotors

have an estimated radius of 350mm, a constant chord of 33 mm and a NACA0009 airfoil

similar to the rotors of model helicopters (Cutler, 2010).

By using XFOIL (Drela, 2013), the aerodynamic characteristics of this airfoil were derived

at a tip Mach number of 0.3 and a Reynolds number of 200000, which were estimated

from operating conditions of similarly-sized helicopter rotors. By using the momentum

blade element theory and assuming a two-bladed rotor with a 50mm radius rotor hub,

this data is enough to calculate the values of the rotor power and thrust coefficients

depending on the blade pitch angle and assuming hover conditions. With performance

characteristics of the rotors being known, it is then possible to estimate the endurance of

the resulting rotorcraft design itself. By substituting the thrust required by the weight of

the vehicle as well as accounting for the presence of multiple rotors, we gain the following

relation:

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This relation indicates that for minimum power consumption, the ratio must be

maximized. For the used rotors, the ratio is equal to 1.48.

We can then calculate the endurance of the vehicle by solving the mass of the vehicle.

Because the mass change of the vehicle is caused by the fuel being burned and

accounting for the efficiency of the power conversion, we can write the following

equation:

This is the first order nonlinear differential equation and can easily be solved. The

boundary conditions of the equation have to be calculated first in order to solve the

system. The first boundary condition can be derived from the fact that at the end of the

flight, the mass of the system equals the empty mass of the system. The other boundary

condition follows from the maximum power that can be provided by the system. For

rotorcraft control, it is essential there is more power available than is being used since

control happens through thrust adjustment. For concept one, the motors are operating at

50% power, and to keep the comparison fair, the same useful power fraction will be used

for this concept. These boundary conditions can then be written down as the following

relation:

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The system can now be completely solved, which results in the following equation for

the endurance of the fuel-powered quadcopter:

As can be seen from the equation above, an estimation of the fuel-powered rotorcraft’s

performance requires knowledge about the empty mass of the rotorcraft, the maximum

power output of the engine, the efficiency of the system, and the amount of rotors present

on the rotorcraft. These factors will be estimated for the requirement of one kilogram of

payload. For simplicity of the transmission system, we will assume the rotorcraft has four

rotors. Research shows the smallest commercially available engines produce around 2

kW while weighing approximately 1 kilogram including peripherals (DLE Engines, 2015;

O.S. Engines, 2015).

To keep the comparison fair, we will use the empty mass of the first concept as an

indication of the empty mass of this concept. Since it will run at 50% power, it is able to

weigh 14 kg due to the efficiency of 14 g/W. It is assumed that half the weight of the

system are batteries, therefore, the result will be an empty weight of 7 kg including

payload.

The final, unknown, parameter is the engine efficiency. While gasoline engines can reach

an average efficiency of 20%, it is not expected this efficiency will be reached on this

rotorcraft because of the drawbacks of downscaling a gasoline engine. Fuel consumption

data on this engine size is not well documented, therefore, an assumption of efficiency

is made at 10% as a safety factor because the choice and the performance of the engine

are not yet known. As for fuel energy density, it is assumed gasoline has an energy

density of 44 MJ/kg.

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With these parameters, it is possible to make an estimation of the rotorcraft’s

performance, which results in an expected flight duration of 7.7 hours with a take-off

mass of 11.4 kg. The sizing of the third design involves a mixture of techniques from both

designs. The new components necessary for this design include a high power alternator

and rectifier. If we assume the engine size is the same as for concept two, commercial

components of this power rating would weigh at least 2 kg at a maximal 92% efficiency

(Sullivan Products, 2015). By using the mass differential equation from the second

concept and the rotor efficiency approach from the first concept, we can then derive a

new mass differential equation for this concept:

This equation has the following boundary conditions:

Solving these equations then yields:

Due to the craft’s mass being variable, it is impossible to always fly at top performance

of the fixed pitch rotors. This variation is rather small thus we can see that it is still

possible to fly with an average efficiency of 13.5 g/W. If we then assume the empty mass

is equal to the empty mass of the second concept with the added mass of the required

generator systems on top, we can calculate the total flight time of 4.9 hours. We can also

further calculate that the concept’s take-off mass is 12.42 kg.

Both concept two and three have the possibility of providing a much better performance

than what is possible with the electricity-based concept one. While both concepts have

a lower maximum take-off mass at the same power generation compared to the first

concept, they make up for this by being able to carry significantly more energy.

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Both these concepts have the potential to meet the flight time requirement, however, the

expected flight time of concept two provides a significantly higher design safety margin

than concept three. The improved efficiency due to fixed pitch rotors in concept three

seems to not make up for the mass and losses added by the generator subsystem.

With current technology, it is theoretically impossible for the first concept to meet the

required flight time so it will not be discussed any further. A big problem with concept two

is the system’s complexity. Both concept one and three have relatively small moving

parts; however, concept two requires a complicated transmission system in order to

power the rotors. This limits the freedom of structure’s design and requires a strong frame

to function well. Furthermore, it requires variable pitch rotors which bring significant

complexity to the rotor mounting itself. The development time for the rotorcraft is very

limited thus it could pose a risk for the project. The variable pitch rotors do; however,

have several advantages. The large rotors which are necessary to make concept three

efficient have significant inertia and can make control of the vehicle difficult because of

the delayed response. Meanwhile the response of the variable pitch rotors of concept

two can react faster than any fixed pitch design and can also provide negative lift.

Furthermore, no energy is wasted during maneuvering since it is not necessary to slow

down and accelerate the rotors. The variable pitch rotors also allow for a safety measure

to be in place, in case the engine of the rotorcraft runs out of fuel. In concept three, a

separate battery-powered system will have to be created in order to allow safe landing;

however, concept two has the innate possibility of using autorotation to safely descend.

Finally, concept two is a better fit for the scalability requirement. The fixed pitch rotors of

concept three cannot be scaled up efficiently because of their increasing inertia. This can

be solved by adding more rotors instead of scaling up rotors; however, this results in

reduced efficiency and an overall more complicated system. Meanwhile, the structure of

concept two can be scaled up while still having functional rotors.

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The first concept was quickly discarded because it did not meet the requirements. The

second concept easily meets the expected performance and the third concept can be

adapted to meet the goals. Since it was found out that commercial parts are easily

available to create the complicated transmission of concept two and this removed the

largest risk, it was decided to continue the preliminary design with concept two.

Once the concept design was settled on, we had to make a choice about the engine type.

For a rotorcraft of this scale, there are three major engine types, namely nitro engines,

gas engines and model turbine engines. Nitro engines are the smallest engines available

on the market. Their main feature is that they run on a special nitro fuel mixture, which

allows them to run at very high rotational speeds and this enables very lightweight engine

designs to still produce considerable power. Their main drawbacks exist in how

expensive their fuel is and the very oil-rich exhaust they produce which can cause

damage to the systems they are integrated in. The second option is a miniature two-

stroke gasoline engine. Even though it cannot deliver the extreme power to weight ratio

as a nitro engine can, they do provide significantly more efficiency and can operate on

normal gasoline. One drawback; however, is that they need a spark-plug based ignition

system, but recent developments have made this less of an issue because of the rise of

electronic ignition systems. The final option exists in model turbine engines. These

engines can run on almost any fuel; however, they require a special controller to regulate

the engine. While they can produce incredible power to weight ratio, they tend to be

inefficient (Salt, 2015). The choice was made to go with the two-stroke gasoline engine

because the project’s goal is to design a long-range quadcopter. Even though the engine

is slightly heavier, the motor’s efficiency easily weighs up to the slightly increased mass.

The largest issue in terms of the physical size is the sourcing of the variable pitch rotor

hubs required for the design to function. These components are very complex and to

produce them to order is impractical due to project’s deadlines, which means these parts

will have to be sourced commercially. The largest commercial availability of small scale

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variable pitch rotor hubs exists in the market of model helicopter’s tail rotors. Even though

the main rotors used by these helicopters are unsuitable because of their full coaxial

control, their tail rotors are an excellent fit in our case since the assemblies often already

include a right angle connection. Helicopter tail rotors normally support significantly

smaller blades thus it is important to find the largest commercially available tail rotor hub

since the efficiency of the rotorcraft increases with the size of the rotors.

This led to the Align T-rex 800E tail rotor hub being chosen as the rotor hub assembly

for this project. It is commercially available and can fit rotor blades as large as 325 mm

in length, like for example the Align T-rex 325 mm carbon fiber blades (van Natter, 2014).

Larger blades are more efficient thus this blade size was taken as the final rotor size for

the design. Next, is choosing the frame design. This choice will have a large impact on

the transmission design because it determines how axes and belts can be used to power

different rotors. The chosen rotor hub components allow an axis connection directly

perpendicular to the rotor hub so it was decided to use an H-frame with four rotors due

to the simplicity of the resulting transmission system. Furthermore, the rotors will be

located on top of the frame arms in order to prevent problems due to rotor flexibility and

will also simplify the landing gear.

With the last remaining core design parameters fixed, we can make a full estimation of

the rotorcraft design. The data below lists all data used for this design.

Airfoil (profile estimated based on

the thickness of the chosen rotor

blades)

NACA 0013

Amount of blades per rotor 2

Amount of rotors 4

Rotor radius [mm] 350

Rotor hub radius [mm] 50

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Rotor chord [mm] 33

Rotor shape Straight, no twist

Engine efficiency [%] 10

Fuel energy density [MJ/kg] 44.4

Engine maximum shaft power [kW] 2

Steady state maximum power usage

[%]

50

Engine efficiency [%] 10

Empty mass (no payload) [kg] 6

Payload mass [kg] 1

Figure 7: data used to estimate the performance of the rotorcraft during preliminary design. Rotor airfoil

characteristics were derived using XFOIL at M=0.3, Re=200000.

With this data, a relation between maximum flight time and payload mass can be

developed.

Total fuel mass [kg] 5.33

Maximum flight duration [h] 9.94

Rotor rotational rate at start of

flight [rot/min]

2677

Rotor rotational rate at end of

flight [rot/min]

2017

Rotor rotational rate at maximum

thrust [rot/min]

3373

Power usage at the end of flight

[W]

428

Figure 8: Calculated performance characteristics of the rotorcraft specified in table 7.

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Figure 9: Expected maximum flight time for variable payload mass of the rotorcra ft design specified in table 7.

Interestingly, it turns out the rotor design used in this performance estimation is

significantly better than the rotor design previously assumed. Furthermore, in the above

figure, it can be seen that the resulting rotorcraft is not only able to lift 1 kilogram of

payload for a significant amount of time, but it can also lift the payload close to the

rotorcraft’s weight for shorter amounts of time.

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4. Detailed Design

Firstly, it is important to investigate the most critical components of the design. Several

subsystems have significant impact on other components of the system. These

subsystems are the rotor hubs, the rotor blades, the engine, the transmission system

and the frame layout. While the rotor hub and blade subsystems have already been

decided on, the rest of the power systems still has to be designed.

The first choice to make is choosing the engine. The requirements for this component

come from the necessary rotational rate range, power range and the rotational range on

which the clutch engages. Due to the fact that gas helicopter engines require a clutch for

smooth start-up behavior, the availability of this component will be researched first.

Market research shows that all lightweight clutches for the wanted engine size are so-

called centrifugal clutches. They operate in a concentric fashion where the inner flywheel

expands because of the rotational rate of the flywheel until it locks against the clutch bell

at a set rotational rate. Due to the size and rotational rate of the wanted clutch, the only

commercially available models engage at 6000 RPM. This means a fast motor is

necessary, followed by a stepdown conversion in the transmission system. The only

engine available that meets these requirements is the OS GT15HZ engine model. It has

an effective range of 2000 up to 16000 RPM, a 4:5:1 stepdown in the transmission

system so it provides the rotational rates required to fly the rotors.

With the choice of the engine settled on, the transmission system can be designed. To

ease the design process, a clutch is selected that is known to be compatible with the

engine model. This clutch already comes with a 14 teeth pinion gear thus a matching

spur gear with 64 teeth is selected which results in a step down conversion of 4.57:1,

which meets the engine requirements. The frame layout is decided to be an H-frame so

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this gear will power an axis which extends through the central beam of the frame. Similar

axes will be mounted between the rotor hubs and by using miter gears where these axes

meet the central axis, the correct rotation of rotors can be ensured. In order to keep

friction in the transmission system low, it will be suspended on bearings rated for both

the rotational rate of the rotors and the axial loads placed on the axis due to the gear

joints. An overview of the transmission system can be seen below.

Figure 10: Layout of the complete transmission system including the engine.

With the critical subsystems designed, it is possible to continue with the general design

of the rotorcraft. Firstly, we will discuss the general frame layout and after that the

different subsystems. One of the core requirements is that parts of the frame will be 3D

printed. While the 3D printing technology does not offer many advantages for the central

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beam of the frame, the multitude of different interfaces present on the rotorcraft arms

make these components excellent for 3D printing.

A big problem with these arms is that they are significantly larger than the maximum size

that can be printed with the printers available at Leapfrog 3D Printers. Therefore, it was

decided to split the arm into multiple pieces that can be glued together.

Meanwhile, the frame of the center beam poses a different problem. It has to provide

support for the transmission system, and also house the components of the other

subsystems while remaining easy to produce as well as lightweight. Keeping the

requirement of upgradability in mind, it was decided to construct this component from

sparse folded aluminum sheets. This allows easy mounting of different components and

provides the strength required to house the transmission system while remaining

extremely lightweight. The engine, clutch and central transmission shafts can then be

supported through several milled pieces of aluminum mounted inside the structure.

Since the size of the central beam structure is known, it is time to focus on the joint

between the central beam and the arms supporting the rotors. Keeping maintainability in

mind, we decided this joint should be easy to unlock in order to inspect the gearing

system which will be located at this joint. A big issue; however, is accurately attaching

the manufactured aluminum structure to the rough 3D printed structure of the arm

frames. A solution to this problem is putting the 3D printed part in between the metal

parts of the joint and a small aluminum plate on the other side of the frame.

An iterative process is performed to design the 3D printed arm frames. Because of the

way 3D printed parts are manufactured, the stresses on the part will be almost completely

carried by the outside of the part, while the inside of the part contains a simple supporting

structure that prevents the outside skin from collapsing. Due to the distribution of the

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loads, a simple design is made featuring a tapered stretched cylinder design which will

not significantly interfere with the airflow of the rotors. Testing shows that an optimal

result is reached by combining a part wall thickness of 0.8 mm with a supporting structure

with 10% infill. The resulting part structure can be seen below:

Additional features include the presence of two extrusions at the arm tips which act as

landing gear, and a pocket in which servos can be mounted in order to control the

variable pitch rotors. Another interesting point is that the arm frame is asymmetrical. This

is caused by the asymmetry of the used rotor hubs, which means that the servos will

always be located on the same side of the outer rotor arm components. It also means

that both outer rotor arm parts are identical, which simplifies the production of the parts.

Figure 11: Unfinished test print of the central section of the arm frame.

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Figure 12: Overview of the resulting arm frame design.

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Figure 13: Overview of the center frame design.

The frame design is completed so the control subsystem can now be focused on. This

system can be divided into different subsystems, namely measurement, controller and

actuation.

The first system we will look at is the actuation subsystem. The rotorcraft features four

pitch-controlled motors, and one engine which can be throttle controlled. All of these

components receive their input through the movement of a mechanical lever and

therefore, a mechanical actuator is necessary. Due to the relatively high speed control

loop of the model multi-rotorcraft, these actuators are able to quickly apply feedback. In

order to achieve this, servo motors which update at 330 Hz were chosen for this system.

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The controller subsystem has to drive these actuators. In order to keep the development

time short, a COTS system was selected for the controller subsystem. This system can

be customized to fit the needs of the rotorcraft and has the capability to power all servos.

It also includes a pressure sensor and a six degrees of freedom inertial measurement

unit.

The measurement system is responsible for gathering data for the control subsystem. In

order to fulfil the requirements, several sensors are selected next to the sensors already

present in the control system. The first sensor is an ultrasonic distance sensor which can

be used to accurately measure the distance to the ground for soft landings. Furthermore,

a Hall Effect switch sensor will be included which can be used to measure the rotational

rate of the rotors due to a set of magnets mounted on the clutch. This is necessary since

the performance of the rotors significantly varies with this rotational rate, therefore, the

controller needs to be able to effectively regulate the engine. These systems run on

electrical power, the same as the electrical ignition used by the engine. While it is

possible to generate this power on board, it makes the design unnecessarily complex.

Due to this, it is decided to power the electrical systems of this prototype rotorcraft from

batteries. The current consumption of the electrical ignition is rated at 750 mA at 14000

RPM; however, the current consumption of the control system is not well known because

of the variable power draw of the servos. To compensate for this, the current sensor will

be integrated in the servo power supply to estimate the servo current draw. Until this

performance is tested, two 10 Ah two-cell Lithium polymer batteries will be used as the

energy source. The combined capacity of these batteries should be able to handle a

current draw of 4A for the required flight duration, providing a safe power budget of 0.65A

per servo. The current draw of the controller and measurement subsystems is negligible

compared to this and is therefore not included in the analysis.

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The final subsystem to be designed is the energy storage subsystem. This rotorcraft

design incorporates a gasoline engine, therefore this means a large amount of gasoline

has to be stored on board. If the full 5.3 kg of fuel are stored in one large tank, this can

cause issues due to the fuel sloshing around in the tank, making it impossible to stabilize

the rotorcraft. Another issue lies in the change of the center of gravity of the rotorcraft

due to the fuel being depleted over the duration of the light.

These issues are solved by storing the fuel in multiple small tanks located in the center

of the craft, at the sides of the center frame. Since the fuel cannot move freely around

large distances, the impact of sloshing on the stability of the rotorcraft is reduced.

Furthermore, the fuel is stored very closely to the center of gravity, which reduces the

influence of the fuel mass on the movement of the center of gravity. As an added benefit,

this also allows the rotorcraft to remain relatively flat since there is plenty of space not

covered by the rotors in this area.

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5. Prototype Results

The following estimation is made for the prototype:

Airfoil (characteristics derived

using XFOIL)

NACA 0009

Amount of blades per rotor 2

Amount of rotors 4

Rotor radius [mm] 350

Rotor hub radius [mm] 50

Rotor chord [mm] 33

Rotor shape Straight, no twist

Engine efficiency [%] 15

Fuel energy density [MJ/kg] 44.4

Engine maximum shaft power

[kW]

2

Steady state maximum power

usage [%]

50

Engine efficiency [%] 10

Engine mass [kg] 1

Rotor and rotor hub mass [kg] 0.25

Frame mass [kg] 3

Figure 14: Prototype estimation.

Based on this information, the simulation gives the following results:

Maximum fuel mass [kg] 7.3

Maximum flight duration

[h]

19.0

Rotor RPM when full

[rot/min]

2603

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Rotor RPM when empty

[rot/min]

1554

Figure 15: Simulation results.

This helps establish the following relation between the payload weight and flight duration:

Figure 16: Relation between the payload weight and flight duration.

Then, we performed these same tests on a larger 12 kW rotorcraft and these are the

results:

Airfoil (characteristics derived

using XFOIL)

NACA 0009

Amount of blades per rotor 2

Amount of rotors 4

Rotor radius [mm] 860

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Rotor hub radius [mm] 120

Rotor chord [mm] 81

Rotor shape Straight, no twist

Engine efficiency [%] 22

Fuel energy density [MJ/kg] 46

Engine maximum shaft power

[kW]

12

Steady state maximum power

usage [%]

50

Engine mass [kg] 10

Rotor and rotor hub mass [kg] 1.5

Frame mass [kg] 18

Figure 17: 12 kW rotorcraft test results.

The simulation gave the following results:

Maximum fuel mass [kg] 34.5

Maximum flight duration

[h]

26.9

Rotor RPM when full

[rot/min]

1058

Rotor RPM when empty

[rot/min]

745

Figure 18: 12 kW rotorcraft simulation results.

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This helps establish the following relation between the payload weight and flight duration:

Figure 19: Relation between the payload weight and flight duration.

These results show that quadcopters that are fuel-powered have the potential of having

a much longer flight time when compared to an electrical multi-rotorcraft since those are

limited to a flight time of maximum two hours. This is due to an increased amount of

energy that can be stored in the fuel as well as the sharp rise in flight time at low payload

mass implies there is another effect present. This rise can be made more clearly visible

by looking at the power consumption of the craft during the flight.

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Figure 20: Relation between the rotorcraft’s power use and flight time.

The above graph shows that the rotorcraft’s power use drops significantly as the flight

time increases. Power consumption of electrical multi-rotorcraft is, on the other hand,

constant. The explanation for this is that fuel-powered rotorcraft loses mass while flying,

while electrical rotorcraft has to carry the batteries even when they are empty. This,

therefore, doubles the efficiency of the rotorcraft near the end of its flight time, which

allows these rotorcrafts to have an extremely good endurance.

Another element to consider is the rotorcraft’s maximum range. However, due to the

aerodynamics of the multi-rotorcraft this is hard to estimate because of the complex

interactions between the multiple rotors and the rotorcraft body itself. It is possible to give

an estimation of the range at a low speed by comparing it to other quadcopters of the

same size; however, the effects of quadcopters’ forward flight on their power

consumption is not very well understood. Due to the variable pitch rotors, the rotorcraft

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should be able to maintain reasonable efficiency at higher forward velocities, however, it

is hard to estimate the effect it will have on the power consumption and the stability of

the rotorcraft. If looking at the performance of a normal fixed-pitch rotorcraft, it is definitely

possible to fly 50 kilometers per hour without experiencing major drawbacks in power

consumption. This makes it possible for the prototype design to have a range of nearly

800 kilometers while the large scale design could travel over 1000 kilometers. These

numbers would; however, decrease because of the payload in the same way as the

maximum flight time decreases.

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6. Conclusion

This white paper has proven it is possible to construct a rotorcraft that meets all the

requirements mentioned at the beginning of the report. The designed rotorcraft has the

potential to fly with one kilogram of payload for more than nine hours using power

provided by a gasoline engine.

To ensure the project results in an operational rotorcraft that meet the requirements, it is

essential the recommendations below are followed. These recommendations are based

on problems encountered during the construction of rotorcraft’s parts, as well as

concerns raised during the design of the rotorcraft.

In terms of structural integrity, it is important to analyze the expected deformation of the

frame under maximum load. Next, it is important to investigate the effects of continuous

operation on the 3D printed components of the frame. Furthermore, different components

of the transmission system have to be further researched.

When it comes to vibration, the possibilities of damping between the frame and the

controller have to be researched. It is also important to measure vibrations caused by

the engine and the rotors. Finally, a vibrational analysis on the frame has to be

performed.

In terms of performance, it is important to analyze the thrust losses due to downwash on

the frame, investigate the use of an expansion chamber on the engine, analyze the actual

efficiency of the engine and investigate the effects of forward flight on fuel usage.

With control, there has to be an investigation of different controller possibilities for

regulating engine performance and it is important to integrate GNSS or remote control

into the design.

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When it comes to enhancements, an aerodynamic cover for the center beam has to be

designed as well as an inbuilt starter instead of requiring the use of a manual starter for

the engine.

The aim of these recommendations is to aid future development based on this prototype.

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7. References

DLE Engines (2015). Small gasoline engines. http://www.dle-engines.com/index.html

Ger J. J. Ruijgrok (2009). Elements of airplane performance. VSSD

J. Salt (2015). Choosing the best RC helicopter engine.

http://www.rchelicopterfun.com/rc-helicopter-engine.html

M. Drela. (2013). Xfoil- an analysis and design system for low Reynolds number airfoils.

http://web.mit.edu/drela/Public/web/xfoil/

M. J. Cutler (2010). Design and Control of an Autonomous Variable-Pitch Quadrotor

Helicopter. Massachusetts Institute of Technology

O.S. Engines (2015). Heli engines. http://www.osengines.com/engines-heli/index.html

R. C. Hibbeler (2008). Mechanics of Materials. Prentice Hall

S. van Natter (2014). Gas Powered Single Engine Variable Pitch Quadcopter.

http://diydrones.com/profiles/blogs/gas-powered-single-engine-variable-pitch-

quadcopter

Sullivan Products (2015). Alternators and Regulators for Unmanned Vehicles.

http://www.sullivanuav.com/home.html

T-motor (2013). http://www.rctigermotor.com. Consulted on the 28th of May 2015