Sóbester / Forrester | Aircraft Aerodynamic Design | E-Book | sack.de
E-Book

E-Book, Englisch, 264 Seiten, E-Book

Reihe: Aerospace Series (PEP)

Sóbester / Forrester Aircraft Aerodynamic Design

Geometry and Optimization
1. Auflage 2014
ISBN: 978-1-118-53473-1
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Geometry and Optimization

E-Book, Englisch, 264 Seiten, E-Book

Reihe: Aerospace Series (PEP)

ISBN: 978-1-118-53473-1
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Optimal aircraft design is impossible without a parametricrepresentation of the geometry of the airframe. We need amathematical model equipped with a set of controls, or designvariables, which generates different candidate airframe shapes inresponse to changes in the values of these variables. This model'sobjectives are to be flexible and concise, and capable of yieldinga wide range of shapes with a minimum number of design variables.Moreover, the process of converting these variables into aircraftgeometries must be robust. Alas, flexibility, conciseness androbustness can seldom be achieved simultaneously.
Aircraft Aerodynamic Design: Geometry and Optimizationaddresses this problem by navigating the subtle trade-offs betweenthe competing objectives of geometry parameterization. Itbeginswith the fundamentals of geometry-centred aircraft design,followed by a review of the building blocks of computationalgeometries, the curve and surface formulations at the heart ofaircraft geometry. The authors then cover a range of legacyformulations in the build-up towards a discussion of the mostflexible shape models used in aerodynamic design (with a focus onlift generating surfaces). The book takes a practical approach andincludes MATLAB®, Python and Rhinoceros® code, as well as'real-life' example case studies.
Key features:
* Covers effective geometry parameterization within the contextof design optimization
* Demonstrates how geometry parameterization is an importantelement of modern aircraft design
* Includes code and case studies which enable the reader to applyeach theoretical concept either as an aid to understanding or as abuilding block of their own geometry model
* Accompanied by a website hosting codes
Aircraft Aerodynamic Design: Geometry and Optimization isa practical guide for researchers and practitioners in theaerospace industry, and a reference for graduate and undergraduatestudents in aircraft design and multidisciplinary designoptimization.

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András Sóbester is a Senior Lecturer inAeronautical Engineering at the University of Southampton. Beyondaircraft geometry parameterization, his research interests includedesign optimization techniques (in particular, evolutionaryalgorithms, machine learning systems and surrogate model-assistedsearch heuristics), high altitude flight (on fixed wings orballoon-borne) and the use of additive manufacturing techniques inaircraft design.
In terms of applying these technologies, his main focus is on thedesign of high altitude unmanned air vehicles for scientificapplications. He leads the ASTRA (Atmospheric Science ThroughRobotic Aircraft) initiative, which aims to develop high altitudeunmanned air systems for meteorological and Earth science research.Previous work includes research into reducing the environmentalimpact of passenger airliners through unconventional airframegeometries, undertaken as part of a Royal Academy of Engineering(RAEng) Research Fellowship.
András also lectures on the University's AeronauticalEngineering undergraduate course - he leads the AircraftOperations and Mechanics of Flight, and the Aircraft Designmodules.
Alexander I. J. Forrester was born and brought up inWirksworth, Derbyshire in the north of England. He studied for aMasters in aerospace engineering, followed by a PhD incomputational engineering at the University of Southampton where heis now a Senior Lecturer.
He is a member of the Computational Engineering and Design ResearchGroup and the Institute for Life Sciences. His research interestslie in the efficient use of simulation and experiments in designoptimization.
Alex leads the teaching of engineering design across theUniversity's Mechanical, Aeronautical and Ship Science first-yearundergraduate courses. He also teaches design optimization topostgraduate level and supervises the University'sundergraduate-developed human powered aircraft.



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