Results 281 to 290 of about 12,489,898 (339)
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Aircraft Engineering and Aerospace Technology, 1963
THE overall design philosophy of the DAC One‐Elcvcn has already been described in the preceding papers on operating economics and systems—so that this article sets out to extend that information by explaining how the aerodynamic features of the aircraft enable the spscification of this short‐range twin jet to be met.
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THE overall design philosophy of the DAC One‐Elcvcn has already been described in the preceding papers on operating economics and systems—so that this article sets out to extend that information by explaining how the aerodynamic features of the aircraft enable the spscification of this short‐range twin jet to be met.
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A review of the artificial neural network surrogate modeling in aerodynamic design
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019Artificial neural network surrogate modeling with its economic computational consumption and accurate generalization capabilities offers a feasible approach to aerodynamic design in the field of rapid investigation of design space and optimal solution ...
Gang Sun, Shuyue Wang
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Design Automation Conference
This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
Mohamed Elrefaie, Angela Dai, Faez Ahmed
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This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
Mohamed Elrefaie, Angela Dai, Faez Ahmed
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Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks
AIAA Scitech 2019 Forum, 2019Global optimization of aerodynamic shapes requires a large number of expensive CFD simulations because of the high dimensionality of the design space.
Wei Chen, Kevin N. Chiu, M. Fuge
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Aerodynamic design using neural networks
AIAA Journal, 1998An aerodynamic design procedure that incorporates the advantages of both traditional response surface methodology (RSM) and neural networks is described. The procedure employs a strategy called parameterbased partitioning of the design space and uses a sequence of response surfaces based on both neural networks and polynomial fits to traverse the ...
Man Rai, Nateri Madavan
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Aircraft Engineering and Aerospace Technology, 1965
SINCE its original conception, the project has grown from an aircraft of 8,600 lb. all‐up‐weight with two 340 h.p. piston engines, to the present turbine‐powered Skyvan of 12,500 lb. all‐up‐weight with two 666 e.h.p. turbine engines. This has caused some minor changes to be made in certain aerodynamic design features of the aircraft but the necessary ...
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SINCE its original conception, the project has grown from an aircraft of 8,600 lb. all‐up‐weight with two 340 h.p. piston engines, to the present turbine‐powered Skyvan of 12,500 lb. all‐up‐weight with two 666 e.h.p. turbine engines. This has caused some minor changes to be made in certain aerodynamic design features of the aircraft but the necessary ...
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Aircraft Engineering and Aerospace Technology, 1973
THE AERODYNAMIC DESIGN of the VAK 191B is a logical output of some basic design requirements.
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THE AERODYNAMIC DESIGN of the VAK 191B is a logical output of some basic design requirements.
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Aircraft Engineering and Aerospace Technology, 1939
A PHYSICIST addressing an informal gathering recently was asked by one of his audience if lie could put Einstein's relativity theory in a nutshell. The task of covering in one short article the whole realm of problems which arise in the aerodynamic design of an aeroplane to‐day, though not so exacting, is still formidable.
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A PHYSICIST addressing an informal gathering recently was asked by one of his audience if lie could put Einstein's relativity theory in a nutshell. The task of covering in one short article the whole realm of problems which arise in the aerodynamic design of an aeroplane to‐day, though not so exacting, is still formidable.
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The Aeronautical Journal, 1969
I am very conscious of the great honour of being invited to deliver this fourth Reynolds-Prandtl Lecture. At the same time, I am very pleased. As far as I am concerned, the spirit of these two great scientists is still alive. They are both with me every day—at least, I have pictures of them in my office and I look at them every day.
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I am very conscious of the great honour of being invited to deliver this fourth Reynolds-Prandtl Lecture. At the same time, I am very pleased. As far as I am concerned, the spirit of these two great scientists is still alive. They are both with me every day—at least, I have pictures of them in my office and I look at them every day.
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2014
Optimal aircraft design is impossible without a parametric representation of the geometry of the airframe. We need a mathematical model equipped with a set of controls, or design variables, which generates different candidate airframe shapes in response to changes in the values of these variables. This model's objectives are to be flexible and concise,
Sobester, Andras, Forrester, Alexander
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Optimal aircraft design is impossible without a parametric representation of the geometry of the airframe. We need a mathematical model equipped with a set of controls, or design variables, which generates different candidate airframe shapes in response to changes in the values of these variables. This model's objectives are to be flexible and concise,
Sobester, Andras, Forrester, Alexander
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