Research and Technology 1994
NASA Lewis has developed a series of codes to predict turbine engine performance, weight, geometry, and installation effects. By using a very flexible method of input, a set of standard components are connected at execution time to simulate almost any turbine engine configuration that the user could contemplate. A key element of this capability is the Weight Analysis of Turbine Engines (WATE) computer program, originally written in the mid-1970's to obtain engine weight and geometry. Unlike most other preliminary weight-estimating tools available at the time, WATE determined the weight of each major engine component by using its key relevant design parameters to obtain an overall accuracy of ±10%. Since the WATE code's original development, engine component technology, design, and materials have evolved and computer simulation capabilities have increased. Therefore, in 1991 McDonnell Douglas and NASA joined in an effort to upgrade and enhance the WATE code's capabilities. GE Aircraft Engines joined the effort in 1994.
A major portion of the modification effort involved replacing many of the correlation-based component weight prediction methodologies with a more accurate "first principles" approach. Several new weight components were also added, including a high-bypass-ratio fan, a mixer-ejector nozzle, and engine controls and accessories. The ability to weigh inlets and nacelles has also been incorporated into WATE to allow the engineer to obtain a complete propulsion system weight if desired. At the same time the graphical representation of the engine has been greatly improved to realistically represent the engine flow path and mechanical layout. An example of the graphical output now available from the upgraded version of the WATE code is shown. First-order aerodynamic prediction codes have also been coupled to the WATE code to ensure consistency between the mechanical design assumptions and the engine performance assumptions used in the analysis. These modifications and enhancements have increased the accuracy of the weight predictions to ±5% for most applications. Moreover, they give the systems analyst more design details early in the conceptual design process.
Lewis contact: William J. Haller, (216) 977-7004
Headquarters program office: OA
Last updated 1995
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