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Upgrading and Developing The Performance of One of the Gas Turbine Engine Secondary air System Components using CFD

Jalali, Ramin | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 56482 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Darbandi, Masoud
  7. Abstract:
  8. Numerical three-dimensional simulation of the entire regions of a gas turbine blade, including hot gas flow over the blade surface, conduction heat transfer within the blade metal, and coolant flow through the Internal cooling System, is highly time-consuming and expensive. Therefore, one-dimensional internal flow simulation is one of the main objectives of this research to address the limitations of commercial software in predicting the temperature distribution along the cooling path. In this study, a one-dimensional in-house simulation code is developed to simulate the coolant flow inside the cooling channels of the internal cooling system of the blade. Additionally, using artificial neural network training and considering the effects of wall temperature on the heat transfer coefficient, a tool is developed to enhance the one-dimensional code. By coupling the one-dimensional code with three-dimensional numerical simulation, the laboratory experimental blade surface temperature distribution is calculated and compared with experimental data. The results show that the upgraded one-dimensional code achieves higher accuracy in predicting the blade temperature distribution compared to the base code and results from other researchers. In the next stage, multi-objective optimization methods and artificial intelligence are employed to extract correlations of the coolant flow through channels equipped with angled turbulators in order to achieve the highest heat transfer rate and the lowest pressure drop. The results demonstrate that the optimal design of angled turbulators reduces the blade surface temperature by up to 7.1%. Another objective of this research is the development of a novel mathematical-statistical method to derive correlations related to heat transfer problems with minimal available data. The conducted investigations indicate that this method is highly accurate in generating heat transfer correlations and is about a hundred times faster than conventional methods like artificial neural networks. Furthermore, to achieve more tangible results, a new design of a gas turbine blade equipped with an advanced cooling system is proposed using the coupling of three-dimensional flow simulation and the upgraded one-dimensional code. Sensitivity analysis of some design parameters on its temperature distribution is also conducted. The results indicate that the total pressure of the incoming fluid to the turbine has a negligible effect on the blade surface temperature. The blade material and the total temperature of the incoming fluid to the turbine have the most significant impact on the temperature distribution
  9. Keywords:
  10. Heat Transfer ; Three Dimentional Numerical Simulation ; Artificial Neural Network ; Multiobjective Optimization ; Sensitivity Analysis ; Internal Cooling System ; One Dimensional Code ; Secondary Air System

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