E
Emmanuel Benard
Researcher at Institut supérieur de l'aéronautique et de l'espace
Publications - 138
Citations - 1026
Emmanuel Benard is an academic researcher from Institut supérieur de l'aéronautique et de l'espace. The author has contributed to research in topics: Boundary layer & Aerodynamics. The author has an hindex of 15, co-authored 126 publications receiving 865 citations. Previous affiliations of Emmanuel Benard include Queen's University & Queen's University Belfast.
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Fluid Flow through 90 Degree Bends
TL;DR: In this paper, the authors present a review of pressure drop measurement and prediction in curved pipes and elbow bends for both laminar and turbulent single-phase fluid flow, showing that the pressure loss can be predicted both theoretically and using empirical relations.
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A generic tool for cost estimating in aircraft design
Sylvie Castagne,Richard Curran,Alan Rothwell,Marc Price,Emmanuel Benard,Srinivasan Raghunathan +5 more
TL;DR: In this article, a methodology to estimate the cost implications of design decisions by integrating cost as a design parameter at an early design stage is presented, which relies on a genetic-causal method where the drivers of each element of cost are identified relative to process capability.
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Gas-liquid two phase flow through a vertical 90 elbow bend
Peter Spedding,Emmanuel Benard +1 more
TL;DR: In this article, the authors reported a two phase air-water flow through a vertical to horizontal 90° elbow bend set in 0.026m i.d. pipe, and a modified Lockhart-Martinelli model gave prediction of the data.
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Energy-Harvesting Mechanisms for UAV Flight by Dynamic Soaring
TL;DR: In this paper, the feasibility of dynamic soaring flight is questioned, and a three-dimensional energy-neutral trajectory is derived out of a specified optimization problem, with the potential to increase the endurance of small unmanned vehicles.
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Integrating Aircraft Cost Modeling into Conceptual Design
Richard Curran,Mark Price,Srinivasan Raghunathan,Emmanuel Benard,S. Crosby,Sylvie Castagne,Paul Mawhinney +6 more
TL;DR: The application of the Genetic-Causal principle to the modeling of cost is helping to understand how conceptual design parameters impact on cost, and linking that to customer requirements and life cycle cost.