Low Cost Autonomous Attack        
System (LOCAAS)

Investigators

    R. Tramel and N. Suhs, Micro Craft, Inc.

Application Overview

    Define the unsteady aerodynamics that characterize the deployment flight profile of the Low Cost Autonomous Attack System ( LOCAAS). The LOCAAS deployment sequence includes ejection from a dispenser, inflation of a ballute for speed reduction and flight stabilization, and deployment of wings and fins for autonomous controlled glide to intended targets. Computational analysis is being employed to reduce costs and risks associated with anticipated flight test requirements.


Methodology

    Overset structured grids are used to discretize the LOCAAS geometry. The approach is ideally suited to the LOCAAS flight profile. Grid components conform to the shape of the LOCAAS, facilitating resolution of the viscous boundary layer and important off body aerodynamics. Grid components are allowed to move with six-degrees-of-freedom in response to applied and aerodynamic loads without the need for re-gridding. A scalable version of the OVERFLOW-D1 code has been developed under the CHSSI CFD CTA and is being used to accomplish project objectives.


Results (8/31/97)

    An initial simulation result has been completed for a solitary LOCAAS (stowed configuration) in stable level flight. The computation was run using 48 nodes of an IBM SP. The grid system is composed of 15 grid components and 4.76 million grid points.

LOCAAS Surface Geometry Definition

Selected surfaces from near-body volume grids

Computed Mach and surface pressure fields
 

Significance

    This effort has dual objectives that involve evaluation of scalable CHSSI software and the aerodynamic performance of the Low Cost Autonomous Attack System.  The LOCAAS is in the advanced development phase at Wright Laboratory Armament Directorate. It is designed to provide the technology base for future low-cost laser radar sensor submunitions. This sensor technology provides increased cost per kill efficiencies through the ability of the sensor to detect, extract, and classify a
variety of ground mobile and fixed targets.

References

1. Wissink, A. and Meakin, R., "On Parallel Implementations of Dynamic Overset Grid Methods,"
SC97: High Performance Networking and Computing, San Jose, CA, November 1997.

2. Meakin, R., "Composite Overset Structured Grids," in Handbook of Grid Generation, ed.
J. Thompson, N. Weatherill, and B. Soni, CRC Press, Inc., Boca Raton, FL, 1997.

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Oblique Viewlocaas_1.gif locaas_2.gif Front View

 locaas_3.gifTop locaas_4.gifSide
Top View Side View

Figure 1. LOCAAS surface geometry definition.
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locaas_5.gif

Figure 2. Selected surfaces from near-body volume grids.

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Mach Field                                                                                                           Surface Pressure Coefficient
locaas_6.gif    locaas_7.gif

Figure 3. Computed Mach and surface pressure fields.

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