Handbook of Numerical Simulation of In-Flight Icing

Handbook of Numerical Simulation of In-Flight Icing PDF

Author: Wagdi George Habashi

Publisher: Springer Nature

Published: 2024-01-12

Total Pages: 1278

ISBN-13: 3031338456

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This Handbook of Numerical Simulation of In-Flight Icing covers an array of methodologies and technologies on numerical simulation of in-flight icing and its applications. Comprised of contributions from internationally recognized experts from the Americas, Asia, and the EU, this authoritative, self-contained reference includes best practices and specification data spanning the gamut of simulation tools available internationally that can be used to speed up the certification of aircraft and make them safer to fly into known icing. The collection features nine sections concentrating on aircraft, rotorcraft, jet engines, UAVs; ice protection systems, including hot-air, electrothermal, and others; sensors and probes, CFD in the aid of testing, flight simulators, and certification process acceleration methods. Incorporating perspectives from academia, commercial, government R&D, the book is ideal for a range of engineers and scientists concerned with in-flight icing applications.

Optimization Under Uncertainty with Applications to Aerospace Engineering

Optimization Under Uncertainty with Applications to Aerospace Engineering PDF

Author: Massimiliano Vasile

Publisher: Springer Nature

Published: 2021-02-15

Total Pages: 573

ISBN-13: 3030601668

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In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

Aircraft Icing

Aircraft Icing PDF

Author: Terry T. Lankford

Publisher: McGraw-Hill Professional Publishing

Published: 2000

Total Pages: 358

ISBN-13:

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Required reading for every pilot, this resource identifies different icing types -- including new phenomena such as supercolled drizzle droplets. Covers both ground and airborne icing for VFR and IFR pilots in high- and low-level operations.

Aircraft Icing

Aircraft Icing PDF

Author:

Publisher:

Published: 1978

Total Pages: 164

ISBN-13:

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Icing of unprotected aircraft components is a major problem engineers are faced with during the development phase of an aircraft programme. Ice accretions as well as their shape have to be predicted in order to investigate their effect on aerodynamic flight safety and performance and to decide on the need for anti-or de-icing systems. The Fluid Dynamics Panel of AGARD sponsored a round-table discussion on the subject of Aircraft Icing, on 30 September 1977, in Ottawa, Canada, in conjunction with an FDP Symposium on Unsteady Aerodynamics. The seven papers presented, covering a broad spectrum of topics, are presented in this Advisory Report. (Author).

Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications PDF

Author: Massimiliano Vasile

Publisher: Springer Nature

Published: 2022-01-27

Total Pages: 448

ISBN-13: 3030805425

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The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.

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