In this study, effects of lacing rods location on natural frequencies of last stage of a Steam Turbine Blades (STBs) have been investigated. STBs are critical and important elements in a turbine as well as power plants. One of the most important parameters in turbine blades is lacing rods location. In this paper, first, a three dimensional (3D) scan was used to produce the geometrical model of ...

Mist cooling concept has been considered for cooling turbine airfoils for many years. This concept has been proven experimentally as an effective method to significantly enhance the cooling effectiveness with several fundamental studies in the laboratory under low pressure and temperature conditions. However, it is not certain the same performance can be harnessed in the real gas turbine enviro...

In this work, a methodology for building multi-period optimisation model of steam turbine network is presented. The optimisation model can estimate and evaluate the effect of changes to the thermal energy demand of processes. The subject is divided into two parts. In Part I, a method for finding regression models for steam turbine networks using a simulation model and an evolutionary algorithm ...

Most electric power is produced by steam turbines. This is because the steam cycle is well suited to the conversion of heat to work and steam turbines can be built in a wide range of capacities up to about 1500 MW. Steam turbines are basically very simple having fixed blades to accelerate the steam and moving blades to absorb the resulting kinetic energy. The moving blades are mounted on a rota...

The results of an investigation evaluating the feasibility of using optical measurements for the real-time monitoring of fluid properties in geothermal process streams is described. The measurements exploit new technologies that have been developed for the telecommunications industry and include new solid state laser devices, large-bandwidth, high-sensitivity detectors and low loss optical fibe...

In order to characterize the transient dynamics of steam turbines subsections, in this paper, nonlinear mathematical models are first developed based on the energy balance, thermodynamic principles and semi-empirical equations. Then, the related parameters of developed models are either determined by empirical relations or they are adjusted by applying genetic algorithms (GA) based on experimen...

This paper introduces a kind of diagnosis principle and learning algorithm of steam turbine fault diagnosis which based on Elman neural network. Comparing the results of the Elman neural network and the traditional BP neural network diagnosis, the results shows that Elman neural network is an effective way to improve the learning speed , effectively suppress the minimum defects that the traditi...

The paper is devoted to solution of some problems in nuclear power station generating unit intellectual control systems using genetic algorithms on the basis of control system model development, optimizations methods of their direct quality indices and improved integral quadratic estimates. Some mathematical vector models were obtained for control system multicriterion quality indices with due ...

The main purpose of this work is to conduct coupled CFD analysis of the steam flow in the secondary part of turbine and study thermal rotor/stator steady state. We consider a 11 stage high-pressure cylinder of a power steam turbine with extended terminal labyrinths. Domain of interest is only the secondary flow path of the cylinder, therefore the shroud and blades are beyond the scope of this w...