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Rotare
Documentation
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42ddf4a6
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Commit
42ddf4a6
authored
2 years ago
by
Thomas Lambert
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feat(intro): basic intro
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@@ -13,5 +13,48 @@
\chapter*
{
Introduction
}
\label
{
chap:intro
}
\rotare
is a feature-rich and open-source implementation of the Blade Element
Momentum Theory (BEMT) in
\matlab
.
This software can be used for the analysis and the design of all kinds of
rotors: helicopters main/tail rotors, aircraft propellers, wind/tidal turbines,
etc.
\rotare
was developed primarily for teaching purposes at the
\href
{
\amURL
}{
University of Liege
}
(Belgium) by
\href
{
\tlambertURL
}{
Thomas
Lambert
}
during his Ph.D. The code was later extended to add different solvers,
many extensions to the base methodology and to support more complex geometries.
It is now a complete analysis tool that can be used in a wide range of
applications outside of academia.
The present documentation is divided in two main parts:
\begin{enumerate}
\item
\textbf
{
The user manual
}
(Part~
\ref
{
part:user
}
), with practical details
about the installation and usage of the code.
\item
\textbf
{
The technical manual
}
(Part~
\ref
{
part:tech
}
), with details
regarding the code architecture and all the theory underlying the
implementation.
\end{enumerate}
\section*
{
Features
}
% (fold)
\label
{
sec:features
}
\rotare
currently supports blade geometries with varying twist, chord and
airfoil. It can either model single rotors in isolation or coaxial rotors.
Single rotors can either be studied in steady condition (
\eg
hovering
helicopter), axial flow (
\eg
aircraft propeller, wind turbines) or oblique
flow
\footnote
{
Only for single rotor cases.
}
(
\eg
tiltrotor)
Multiple corrections and extensions have been implemented to the base
methodology, such as: tip/hub losses, compressibility effects, spinner effects,
etc (see Chapter~
\ref
{
chap:tech:ext
}
).
Different solvers for the BEMT equations are implemented in the software (see
Chapter~
\ref
{
chap:tech:solvers
}
for complete description). While they all solve
the same initial set of equations, they differ on the methodology for the
resolution or the hypotheses made to solve the equations. Even though some
solvers are clearly superior to others, this redundant implementation is
especially useful for teaching purposes. Indeed, it allows to compare the
quality of the results, the convergence or the effect of additional hypotheses.
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