Book•
Aircraft Design: A Systems Engineering Approach
28 Nov 2012-
TL;DR: In this article, the authors present in one volume the methodologies behind aircraft design, covering the components and the issues affected by design procedures, and explain the design process in a holistic manner to emphasise the integration of individual components into the overall design.
Abstract: Presenting in one volume the methodologies behind aircraft design, this book covers the components and the issues affected by design procedures. The basic topics that are essential to the process, such as aerodynamics, flight stability and control, aero-structure, and aircraft performance are reviewed in various chapters where required. Based on these fundamentals and design requirements, the author explains the design process in a holistic manner to emphasise the integration of the individual components into the overall design. Throughout the book the various design options are considered and weighed against each other, to give readers a practical understanding of the process overall.
Citations
More filters
01 Oct 2020
TL;DR: In this article, the authors acknowledge generous support of the King Abdullah University of Science and Technology (KAUST), and acknowledge Dr Joanna M. Nassar, Dr Galo A. Torres, Dr Mohamed T. Ghoneim, Davide Priante, Jhonathan P. Rojas, Sigurdur T. Thoroddsen, and Prof. Boon S. Ooi who contributed to the “pause-embed-resume” data.
Abstract: The authors acknowledge generous support of the King Abdullah University of Science and Technology (KAUST). The authors acknowledge Dr. Joanna M. Nassar, Dr. Galo A. Torres, Dr. Mohamed T. Ghoneim, Andres A. Aguirre-Pablo, Davide Priante, Dr. Jhonathan P. Rojas, Sigurdur T. Thoroddsen, and Prof. Boon S. Ooi who contributed to the “pause-embed-resume” data. The authors thank Kelly Rader for proof reading this manuscript.
219 citations
TL;DR: The proposed mixture of experts (ME) approach, which is based on the divide-and-conquer principle, is concluded that the ME technique is both necessary and sufficient for modeling the aerodynamic coefficients for surrogate-based mission analysis.
114 citations
16 Jan 2020
TL;DR: A soft biohybrid aerial robot with underactuated feathers shows how birds can steer by morphing their wings with wrists and fingers and develops PigeonBot, a robot that embodies 42 degrees of freedom that control the position of 40 elastically connected feathers via four servo-actuated wrist and finger joints.
Abstract: Since the Wright Flyer, engineers have strived to develop flying machines with morphing wings that can control flight as deftly as birds. Birds morph their wing planform parameters simultaneously-including sweep, span, and area-in a way that has proven to be particularly challenging to embody robotically. Previous solutions have primarily centered around the classical aerospace paradigm of controlling every degree of freedom to ensure predictable performance, but underperform compared with birds. To understand how birds accomplish wing morphing, we measured the kinematics of wing flexion and extension in common pigeons, Columba livia The skeletal and feather kinematics show that the 20 primary and 20 secondary feathers are coordinated via approximately linear transfer functions controlled by wrist and finger motion. To replicate this control principle in a robot, we developed a biohybrid morphing wing with real feathers to understand the underlying design principles. The outcome, PigeonBot, embodies 42 degrees of freedom that control the position of 40 elastically connected feathers via four servo-actuated wrist and finger joints. Our flight tests demonstrate that the soft feathered wings morph rapidly and robustly under aerodynamic loading. They not only enable wing morphing but also make robot interactions safer, the wing more robust to crashing, and the wing reparable via "preening." In flight tests, we found that both asymmetric wrist and finger motion can initiate turn maneuvers-evidence that birds may use their fingers to steer in flight.
83 citations
TL;DR: A new self-adaptive meta-heuristic based on decomposition is specifically developed for this many-objective optimisation problem for an unmanned aerial vehicle (UAV) posed with 6 objective functions: take-off gross weight, drag coefficient, take off distance, power required, lift coefficient and endurance subject to aircraft performance and stability constraints.
76 citations
TL;DR: The traditional sizing and aerodynamic estimation methods were adopted to incorporate the characteristics of the BWB platform, whereas CFD computations were employed in order to calculate the aerodynamic and stability coefficients, during the layout comparison and trade studies.
70 citations