A Computer Code for Gas Turbine Engine Weight and Disk Life Estimation

Author:

Tong Michael T.1,Halliwell Ian2,Ghosn Louis J.3

Affiliation:

1. NASA Glenn Research Center, 21000 Brookpark Road, Mail Stop 60-7, Cleveland, OH 44135-3191

2. Modern Technologies Corporation, Cleveland, OH

3. Ohio Aerospace Institute, Brook Park, OH

Abstract

Reliable engine-weight estimation at the conceptual design stage is critical to the development of new aircraft engines. It helps to identify the best engine concept amongst several candidates. In this paper, the major enhancements to NASA’s engine-weight estimate computer code (WATE) are described. These enhancements include the incorporation of improved weight-calculation routines for the compressor and turbine disks using the finite difference technique. Furthermore, the stress distribution for various disk geometries was also incorporated, for a life-prediction module to calculate disk life. A material database, consisting of the material data of most of the commonly used aerospace materials, has also been incorporated into WATE. Collectively, these enhancements provide a more realistic and systematic way to calculate the engine weight. They also provide additional insight into the design tradeoff between engine life and engine weight. To demonstrate the new capabilities, the enhanced WATE code is used to perform an engine weight/life tradeoff assessment on a production aircraft engine.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Reference10 articles.

1. Onat, E., and Klees, G. W., 1979, “A Method to Estimate Weight and Dimensions of Large and Small Gas Turbine Engines,” NASA CR-159481.

2. Ugural, A. C., and Fenster, S. K., 1987, Advanced Strength and Applied Elasticity, Second Ed., Elsevier, New York.

3. Holman, J. P., 1990, Heat Transfer, Seventh Ed., McGraw-Hill, New York.

4. Manson, S. S. , 1965, “Fatigue: A Complex Subject—Some Simple Approximations, Experimental Mechanics,” Exp. Mech., 5(7), pp. 193–226.

5. Newell, J. F., 1994, “A Note of Appreciation for the MUS,” Material Durability/Life Prediction Modeling: Materials for the 21st Century, PVP-290, ASME, New York, pp. 57–58.

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