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Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

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<strong>2000</strong>0061449 British <strong>Aerospace</strong> Public Ltd. Co., Mathematical Modelling Dept., Bristol, UK<br />

Rapid Aerodynamic Data Generation Using an Iterative Approximation Method<br />

Toomer, C. A., British <strong>Aerospace</strong> Public Ltd. Co., UK; Aerodynamic Design <strong>and</strong> Optimisation of Flight Vehicles in a Concurrent<br />

Multi-Disciplinary Environment; June <strong>2000</strong>, pp. 33-1 - 33-11; In English; See also <strong>2000</strong>0061419; Original contains color illustrations;<br />

Copyright Waived; Avail: CASI; A03, Hardcopy<br />

Aerodynamic design <strong>and</strong> optimisation is a costly <strong>and</strong> complicated process in which numerically generated information about<br />

the design space plays a vital role. Hence the information needs to be of good quality, i.e. describing the correct physics, <strong>and</strong> to<br />

be easily accessible from databases using st<strong>and</strong>ardised formats. to make this process affordable <strong>and</strong> efficient, the codes must be<br />

fast, robust <strong>and</strong> accurate. Aerodynamic design problems tend to involve a large number of design parameters <strong>and</strong> constraints on<br />

the design. Large data sets are generated <strong>and</strong> so it is wise to automate the data generating <strong>and</strong> processing whenever possible. Data<br />

generation is only part of the process. Efficient algorithms to access <strong>and</strong> interpret the data are required, as is an efficient means<br />

of negotiating through the design space. Optimisation is the usual method by which the data are analysed, <strong>and</strong> regions within the<br />

design space identified as possible design solutions or improvements to existing designs.<br />

Author<br />

Aerodynamics; Data Bases; Data Processing; Design Analysis; Optimization<br />

<strong>2000</strong>0061450 Naples Univ., Dipartimento di Progettazione Aeronautica, Italy<br />

Design <strong>and</strong> Aerodynamic Optimization of a New Reconnaissance Very Light Aircraft through Wind-Tunnel Tests<br />

Giordano, V., Naples Univ., Italy; Coiro, D. P., Naples Univ., Italy; Nicolosi, F., Naples Univ., Italy; DiLeo, L., Naples Univ., Italy;<br />

Aerodynamic Design <strong>and</strong> Optimisation of Flight Vehicles in a Concurrent Multi-Disciplinary Environment; June <strong>2000</strong>, pp. 34-1<br />

- 34-8; In English; See also <strong>2000</strong>0061419; Copyright Waived; Avail: CASI; A02, Hardcopy<br />

Design of a new Very Light Aircraft (V.L.A.) called G97 Spotter has been carried out at DPA (Department of Aeronautical<br />

Engineering) <strong>and</strong> an extensive wind tunnel test campaign has been performed on both aircraft <strong>and</strong> airfoil models. Wind tunnel<br />

tests have guided in the design phase allowing configuration optimization. Effects of nacelle <strong>and</strong> air intake shape, fuselage stretching,<br />

wing incidence <strong>and</strong> flap/aileron effectiveness have been analyzed through wind tunnel tests. The airfoil has also been designed<br />

<strong>and</strong> modified with the help of wind tunnel test results obtained for a model. Optimization of the airfoil leading edge shape has<br />

been done <strong>and</strong> has brought to a sensible drag reduction at high speed conditions. Optimization of the air intake shape on the aircraft<br />

model has been performed leading to a configuration characterized by lower drag. Influence of an air intake fairing has been analyzed<br />

<strong>and</strong> tested through wind tunnel tests. Wing stall path has been studied. Importance of wind tunnel tests as a device to analyze<br />

<strong>and</strong> design light aircraft configuration has been highlighted.<br />

Author<br />

Aerodynamic Stalling; Design Analysis; Ailerons; Aircraft Models; Drag Reduction; Light Aircraft; Optimization; Wind Tunnel<br />

Tests<br />

<strong>2000</strong>0061965 Colorado Univ., Dept. of <strong>Aerospace</strong> Engineering Sciences, Boulder, CO USA<br />

User’s Manual for LINER: FORTRAN Code for the Numerical Simulation of Plane Wave Propagation in a Lined Two-Dimensional<br />

Channel<br />

Reichert, R, S., Colorado Univ., USA; Biringen, S., Colorado Univ., USA; Howard, J. E., Colorado Univ., USA; Apr. 07, 1999;<br />

55p; In English<br />

Contract(s)/Grant(s): NAG1-1864; No Copyright; Avail: CASI; A04, Hardcopy; A01, Microfiche<br />

LINER is a system of FORTRAN 77 codes which performs a 2D analysis of acoustic wave propagation <strong>and</strong> noise suppression<br />

in a rectangular channel with a continuous liner at the top wall. This new implementation is designed to streamline the usage of<br />

the several codes making up LINER, resulting in a useful design tool. Major input parameters are placed in two main data files,<br />

input.inc <strong>and</strong> nurn.prm. Output data appear in the form of ASCII files as well as a choice of GNUPLOT graphs. Section 2 briefly<br />

describes the physical model. Section 3 discusses the numerical methods; Section 4 gives a detailed account of program usage,<br />

including input formats <strong>and</strong> graphical options. A sample run is also provided. Finally, Section 5 briefly describes the individual<br />

program files.<br />

Author<br />

Applications Programs (Computers); Wave Propagation; User Manuals (Computer Programs); Numerical Analysis; Noise<br />

Reduction<br />

17

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