Papers by Keyword: Liquid Propellant Rocket Engine

Abstract: A fuzzy directions neural network used for fault detection and isolation (FDI) of a liquid rocket engine (LRE) is presented in this paper. Neural network utilizes fuzzy sets as engine fault classes. Each fuzzy set is an aggregate of fuzzy direction bodies. A fuzzy direction body is described by a direction vector, an included angle and two radii. FDI simulation of the turbo-pump fed liquid rocket engine demonstrates the strong qualities of the fuzzy direction neural network.

Abstract: To study the effects of wall thickness, rib height and groove width on cooling effect and pressure drop, three dimensional heat transfer of liquid propellant rocket engine with cooling groove is numerically investigated using gas-solid-liquid coupled heat transfer model. The one-dimensional model is adopted to describe the coolant flow and 3D heat transfer model is used to calculate the coupling heat transfer through the wall. In this text, wall thickness, rib height and groove width varied while the groove number is fixed and coolant mass flow rate remains constant. When liner material is QZr0.2 alloy, we find the optimal design point of the aspect ratio. Moreover, a fitting function of the optimal aspect ratio is acquired. The biggest error of the fitting function is 3.3% compared with numerical results.

Abstract: The purpose of this paper is developing a method for simulation of a cryogenic staged combustion-closed cycle engine. Since, aerospace systems are usually complicated and important; the simulation task becomes extremely important. If the propulsion system of space vehicle is not successfully simulated, then designers must rely on huge tests which are time and money consuming and also dangerous. The mathematical model of the engine includes a set of equations which describe all the system's elements operation. These equations correspond to mass, momentum and energy conservation principles and are simplified to make easy the process of calculations. A Fortran 90 code is developed for this simulation. Comparison of the simulation code with the actual values, demonstrates that the model can accurately predict the behavior of the real engine