Planning an Experiment in Assessing Altitude–Velocity Characteristics of Aviation Gas Turbine Engine

Abstract

When fine-tuning aviation gas turbine engines (GTE), tests are carried out on high-altitude booths with imitation of engine operating conditions in high-speed conditions. Based on the test results, the high-speed characteristics of the GTE—the dependence of the thrust (R) and fuel consumption (G_F) on the flight altitude (H) and rotor speed (n)—are constructed [the flight speed is kept constant (M = const)]. In order to reduce the material and time costs for carrying out the experimental study of the GTE, the tests are carried out according to a special planned experiment plan, which results in the construction of regression models of the type R = f (n, H), G_F = f (n, H) (M = const) in the form of polynomials of the second order. The plans for experiments (PE) are selected from various sources of literature, for example, the catalogues of plans, etc. This article considers the methods for increasing the efficiency of PE by reducing the variance (d) estimation of parameters R and G_F using regression models R = f (n, H), G_F = f (n, H) and reducing the number of experiments (N) in PE.