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  <channel rdf:about="https://repositorio.ufu.br/handle/123456789/19234">
    <title>DSpace Collection:</title>
    <link>https://repositorio.ufu.br/handle/123456789/19234</link>
    <description />
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        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/50457" />
        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/50108" />
        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/49039" />
        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/47947" />
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    </items>
    <dc:date>2026-10-14T03:07:35Z</dc:date>
  </channel>
  <item rdf:about="https://repositorio.ufu.br/handle/123456789/50457">
    <title>Comparative study of aerodynamic models for aeroelastic flutter prediction and dynamic stall</title>
    <link>https://repositorio.ufu.br/handle/123456789/50457</link>
    <description>Title: Comparative study of aerodynamic models for aeroelastic flutter prediction and dynamic stall
Abstract: The present work reviews and compares the main methods for modeling bidimensional aeroelastic&#xD;
flutter, with particular focus on different aerodynamic formulations and their ability to represent&#xD;
dynamic stall effects. The objective is to provide a comparative view of these methods, serving&#xD;
as an auxiliary set of tools for estimating and predicting experimental results, especially in the&#xD;
context of research aeroelastic tests.&#xD;
Simpler attached-flow formulations, namely quasi-steady and unsteady models, are first investi&#xD;
gated, followed by more advanced semi-empirical dynamic stall models, namely the ONERA&#xD;
and Leishman–Beddoes formulations. All models are numerically implemented in MATLAB&#xD;
and analysed through comparison with a reference experimental case from the literature.&#xD;
By identifying the main characteristics, advantages, and limitations of each approach, it is&#xD;
concluded that, among the attached-flow methods, the unsteady Wagner aerodynamic model&#xD;
provides more accurate predictions than the quasi-steady formulation, since flutter is inherently&#xD;
a high-frequency dynamic phenomenon. Among the semi-empirical models with dynamic stall&#xD;
representation, the Leishman–Beddoes method yields the most satisfactory results, mainly due&#xD;
to the previously validated calibration of its aerodynamic parameters.</description>
    <dc:date>2026-03-24T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufu.br/handle/123456789/50108">
    <title>Desenvolvimento de um sistema de controle e guiamento para entrega por paraquedas</title>
    <link>https://repositorio.ufu.br/handle/123456789/50108</link>
    <description>Title: Desenvolvimento de um sistema de controle e guiamento para entrega por paraquedas
Abstract: The aim of this work is to develop control and guidance for Precision Aerial Delivery Systems&#xD;
(PADS). To this end, a dynamic model with six degrees of freedom is developed, and based on&#xD;
its linearization, a state-feedback controller is designed using the Linear Quadratic Regulator&#xD;
(LQR) methodology. In addition, a Go-to-Target heuristic is employed to determine the direction&#xD;
that will lead the parachute to the desired target. Thus, the control system performs lateral and&#xD;
longitudinal control of the parachute in order to follow the orientation defined by the heuristic.&#xD;
The influence of the controller parameters on system performance is also analyzed, as well as its&#xD;
behavior under different operating conditions, including the presence and absence of wind.&#xD;
The simulation results demonstrate that the proposed strategy is capable of autonomously guiding&#xD;
the parachute to the vicinity of the desired impact point, offering satisfactory performance&#xD;
combined with simplicity of implementation. However, the approach has limitations related to&#xD;
the heuristic employed, as it is not capable of landing exactly on the target, since it does not&#xD;
constitute a position controller per se. Thus, the development of more sophisticated control&#xD;
strategies is identified as a possibility for future work.</description>
    <dc:date>2026-08-06T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufu.br/handle/123456789/49039">
    <title>Artificial neural networks for critical flutter speed prediction in semi-span flat-plate wings with geometric variations</title>
    <link>https://repositorio.ufu.br/handle/123456789/49039</link>
    <description>Title: Artificial neural networks for critical flutter speed prediction in semi-span flat-plate wings with geometric variations</description>
    <dc:date>2025-09-30T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufu.br/handle/123456789/47947">
    <title>Estudo do comportamento termomecânico de ferramentais de montagem de estruturas aeronáuticas</title>
    <link>https://repositorio.ufu.br/handle/123456789/47947</link>
    <description>Title: Estudo do comportamento termomecânico de ferramentais de montagem de estruturas aeronáuticas
Abstract: The present work investigates the thermomechanical behavior of assembly tooling for flight critical components, focusing on control surfaces and the effects of thermal expansion on&#xD;
product tolerances. The analysis carried out is extremely useful for assembly processes located&#xD;
in thermally uncontrolled environments. Temperature measurements were performed on the&#xD;
assembly jigs of control surfaces from two aircraft during two hot days, including ambient&#xD;
and ceiling temperatures in the hangar where these tools were located. Structural models were&#xD;
developed to perform finite element analyses (FEA), revealing significant displacements in the&#xD;
vertical and transverse directions, directly impacting hinge tolerances and causing assembly&#xD;
delays in the absence of corrective shims. To generalize the analysis, a thermal model based&#xD;
on the Lumped Capacitance Method (LCM) was created to estimate surface temperatures from&#xD;
environmental conditions. The model showed an average error below 10%, and the subsequent&#xD;
structural analyses confirmed the displacement results with a low error and differences between&#xD;
the built models around 0.06 mm, validating the methodology for future evaluations in assembly&#xD;
processes.</description>
    <dc:date>2025-11-06T00:00:00Z</dc:date>
  </item>
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