Manuscript Number : IJSRSET1841225
Optimization and Design Analysis of Steam Turbine Operation and Maintainence : A Review
Authors(3) :-S. Gejendhiran, M. Winmugil, B. Manoj Kumar
In India, coal is the dominant sources of energy generation. The need and conservation of energy is important. At present 60-62% of total power production in our country is accomplished by coal fired thermal power plant. In power plant, the power is produced by converting the chemical energy of coal into electrical energy by the generator. Due to the increased steam leakages and damage to turbine components (Blade Failures) resulting in the loss of turbine efficiency. Basically the thermal power plant works on improved or modified Rankine cycle to run the plant in highest possible efficiency. Based on heat rate values, to improve the turbine efficiency and overall efficiency by determine the optimization techniques of taguchi’s experimental design method, orthogonal arrays of taguchi, regression analysis, signal to noise (S/N) ratio and are employed to find the optimal process parameter levels and also to analysis the effect of that parameters. A present effect of individual parameters on performance is estimated by using ANOVA. By using ANSYS software the turbine blades stress distribution, deflection, static and fatigue are to be analyzed. By using this techniques, within the available sources the maximum efficiency of the turbine are to be acquired.
S. Gejendhiran
Steam Turbine, Optimization, Taguchi Method, Stress Analysis, ANOVA
Publication Details
Published in :
Volume 4 | Issue 1 | January-February 2018 Article Preview
Assistant Professor, Department of Mechanical Engineering, Nandha Engineering College, Erode, Tamilnadu, India
M. Winmugil
UG Student, Department of Mechanical Engineering, Nandha Engineering College, Erode, Tamilnadu, India
B. Manoj Kumar
UG Student, Department of Mechanical Engineering, Nandha Engineering College, Erode, Tamilnadu, India
Date of Publication :
2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
864-869
Manuscript Number :
IJSRSET1841225
Publisher : Technoscience Academy