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Dissertation
Étude du dégivrage électrothermique du bec de séparation et du premier étage statorique d'un compresseur basse pression
Authors: --- --- --- --- --- et al.
Year: 2018 Publisher: Liège Université de Liège (ULiège)

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Dans le but de garantir l'opérabilité des moteurs d'avion même par conditions climatiques difficiles, un système de dégivrage ou d'antigivrage est nécessaire. Plus précisément, l'objet de cette étude est de modéliser le comportement thermique du bec de séparation (splitter) et du premier étage statorique (IGV). Actuellement, cela est effectué en injectant en entrée du compresseur basse pression de l'air chaud prélevé en aval. &#13;Après une revue de l'état de l'art des moyens de dégivrage et d'antigivrage existants, le travail se concentre sur l'étude de dispositifs électrothermiques.&#13;&#13;Un modèle de prédimensionnement bidimensionnel est développé pour permettre le placement des résistances à l'intérieur du splitter. Celui-ci est validé par comparaison avec un modèle analytique puis avec un logiciel commercial. Une reproduction de résultats expérimentaux est faite avec succès.&#13;&#13;Deux méthodes sont envisagées pour dégivrer l'IGV. D'une part, en injectant la puissance par la base de l'aube et, d'autre part, en fournissant une chaleur volumique uniformément répartie à l'intérieur de l'aube. Ces deux versions font l'objet d'une modélisation distincte.&#13;&#13;La version chauffée par la base dispose d'une solution analytique, ce qui permet une référence servant à la validation de modèles supplémentaires, soit un modèle instationnaire unidimensionnel et un modèle bidimensionnel de l'aube. Ceux-ci montrent que cette solution est très dépendante de l'épaisseur et de la conductivité thermique de l'aube.&#13;&#13;La variante à puissance volumique uniforme au sein de l'aube est décrite par une coupe dans la longueur de l'aube. L'avantage de cette version est d'être, quant à elle, très peu dépendante de l'épaisseur et de la conductivité thermique de l'aube.&#13;&#13;Un calcul CFD reprend la géométrie d'un banc d'essai et considère le splitter ainsi qu'une IGV. Plusieurs points d'essai sont modélisés et les résultats numériques concordent avec les mesures expérimentales de température au bord d'attaque du splitter. Ensuite la variation du coefficient convectif le long du splitter est confronté à un autre calcul CFD. Finalement l'évolution de la température le long de l'aube est considérée dans le cas d'une température imposée à sa base. Cette évolution est comparée à celle obtenue au moyen des modèles développés. Cette analyse met en lumière l'effet des différentes hypothèses de modélisation.


Book
Techniques for Protecting Overhead Lines in Winter Conditions
Authors: --- ---
ISBN: 9783030874551 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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Book
Wind turbine icing physics and anti-/de-icing technology
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ISBN: 0128245328 0323903258 9780323903257 9780128245323 Year: 2022 Publisher: London, England : Academic Press,

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Wind Turbine Icing Physics and Anti-/De-Icing Technology gives a comprehensive update of research on the underlying physics pertinent to wind turbine icing and the development of various effective and robust anti-/de-icing technology for wind turbine icing mitigation.


Book
9th EASN International Conference on Innovation in Aviation & Space
Authors: ---
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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This Special Issue book contains selected papers from works presented at the 9th EASN (European Aeronautics Science Network) International Conference on Innovation in Aviation & Space, which was held in Athens, Greece from the 3rd until the 6th of September, 2019. About 450 participants contributed to a high-level scientific gathering, providing some of the latest research results on the topic, as well as some of the latest relevant technological advancements. Eight interesting articles, which cover a wide range of topics including characterization, analysis and design, as well as numerical simulation, are contained in this Special Issue.


Book
9th EASN International Conference on Innovation in Aviation & Space
Authors: ---
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue book contains selected papers from works presented at the 9th EASN (European Aeronautics Science Network) International Conference on Innovation in Aviation & Space, which was held in Athens, Greece from the 3rd until the 6th of September, 2019. About 450 participants contributed to a high-level scientific gathering, providing some of the latest research results on the topic, as well as some of the latest relevant technological advancements. Eight interesting articles, which cover a wide range of topics including characterization, analysis and design, as well as numerical simulation, are contained in this Special Issue.


Book
Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.


Book
9th EASN International Conference on Innovation in Aviation & Space
Authors: ---
Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue book contains selected papers from works presented at the 9th EASN (European Aeronautics Science Network) International Conference on Innovation in Aviation & Space, which was held in Athens, Greece from the 3rd until the 6th of September, 2019. About 450 participants contributed to a high-level scientific gathering, providing some of the latest research results on the topic, as well as some of the latest relevant technological advancements. Eight interesting articles, which cover a wide range of topics including characterization, analysis and design, as well as numerical simulation, are contained in this Special Issue.


Book
Techniques for Protecting Overhead Lines in Winter Conditions : Dimensioning, Icephobic Surfaces, De-Icing Strategies
Authors: ---
ISBN: 3030874540 3030874559 Year: 2022 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book offers a comprehensive review of the various options for improving the performance of overhead power lines in winter conditions, taking into account both mechanical and electrical aspects. Experience within the CIGRE community reveals many strategies to protect overhead power lines from damage caused by heavy build-up of ice and snow or electrical issues such as insulator icing flashovers. The initial approach is to consider the predicted ice loads from the available databases. This is supplemented with some fundamental aspects of icing physics that affect accretion rate as well as factors in ice shedding on traditional (metal, ceramic) and novel treated surfaces. These ice physics concepts structure the ways to categorize and evaluate methods to reduce or prevent icing on conductors and ground wires or to prevent flashover of insulators. Many utilities in cold climate regions have developed and used methods and strategies to reduce ice loads using anti-icing (AI) and / or de-icing (DI) methods. In general, AI methods are used before or early during ice build-up, while DI methods are activated during and sometimes after ice build-up. The book describes and discusses some historical, operational, or potential AI / DI systems in the ice physics context. This supports a comprehensive review of AI coatings including concepts, relevant material properties, application methods, and finally test methods for characterizing the long-term performance.


Book
Surface Treatment by Laser-Assisted Techniques
Author:
Year: 2020 Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute,

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The book “Surface Treatment by Laser-Assisted Techniques” presents state-of-the-art research applications of lasers for surface modification. Applications in a broad spectrum of fields are presented: the aircraft and automotive sector, the manufacturing industry, sensor development, electronics, biomedical engineering, or the energy sector. Several radiation sources are included, from pulsed lasers in the visible and near-infrared regions to continuous-wave mid-infrared laser sources. The different chapters of the book “Surface Treatment by Laser-Assisted Techniques” cover laser texturing at nanoscale and microscale for modification of hydrophobicity, hydrophilicity, and ice nucleation; the production of palladium, platinum and silver nanoparticles for sensor applications; the texturization of composite bioceramics for improved fixation in bone prosthesis; the surface texturization of natural ceramic materials by scanned laser radiation; the laser ablation of interfaces to enhance adhesion in dissimilar joints; the analysis of material thermoelastic response; and the production of highly polished topographies in pulsed laser surface modification. Moreover, the production of high-entropy alloy/diamond composite coatings, the modellization of the gas-powder injection, and the generation of thermal barrier coatings by laser cladding are reported in the last chapters of this book.


Book
Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.

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