USE FUZZY NEURAL NETWORK TO MODEL GAS TURBINE COOLED BLADES
In this paper, the mathematical models and high effective combination numerical methods for calculating of stationary and dynamic temperature field of a profile part of a blade with convective cooling are put forward. The theoretical substantiation of these methods is proved by appropriate theorems. For it, converging integral processes have been developed and the estimations of errors in the terms of Karnel continuity modules have been received. Boundary conditions of heat exchange are determined by the solution of the corresponding integral equations and empirical relationships.The reliability of designed methods is proved by calculation and experimental investigation heat and hydraulic characteristics of the gas turbine.
Boundary temperature calculation gas turbine blade neural networks splines
TONG WANG PI-LIAN HE A.PASHAYEV
The Computer Science & Technology College, TianJin University, Tianjin30072, China;The Vocational Te The Vocational Technique Instruction College, TianJin University, Tianjin30072, China The Russia Consultant of JiXian Power Plant in TianJin, Tianjin301900, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1829-1835
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）