Computational modeling of combustion in a gas turbine combustor – Complete Phd and Masters Thesis

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Introduction

Gas turbines play a crucial role in power generation and propulsion systems due to their high efficiency and low emissions. The combustion process in a gas turbine combustor is a complex phenomenon that involves the interaction of multiple physical and chemical processes. Computational modeling has emerged as a powerful tool for studying and optimizing combustion in gas turbine combustors. By using computational models, researchers and engineers can gain insights into the combustion process, improve the performance of gas turbines, and reduce emissions.

This thesis focuses on the computational modeling of combustion in a gas turbine combustor. The objective of this research is to develop and validate a computational model that can accurately predict the combustion process in a gas turbine combustor. By doing so, this research aims to improve our understanding of combustion in gas turbines and contribute to the development of more efficient and environmentally friendly gas turbine technologies.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Gas Turbine Combustion
2.2 Fundamentals of Combustion in Gas Turbines
2.3 Computational Modeling of Combustion
2.4 Previous Studies on Computational Modeling of Combustion in Gas Turbines
2.5 Challenges and Limitations in Computational Modeling of Combustion
2.6 Advances in Computational Modeling Techniques
2.7 Importance of Combustion Modeling in Gas Turbines
2.8 Role of Computational Fluid Dynamics in Combustion Modeling
2.9 Validation of Computational Models
2.10 Future Directions in Computational Modeling of Combustion in Gas Turbines

Chapter 3: Research Methodology
3.1 Selection of Computational Modeling Software
3.2 Development of Computational Model
3.3 Validation of Computational Model
3.4 Simulation Setup
3.5 Boundary Conditions
3.6 Combustion Chemistry Models
3.7 Turbulence Modeling
3.8 Grid Generation
3.9 Post-processing Techniques

Chapter 4: Discussion of Findings
4.1 Simulation Results
4.2 Comparison with Experimental Data
4.3 Analysis of Combustion Performance
4.4 Sensitivity Analysis
4.5 Optimization Studies
4.6 Influence of Operating Conditions
4.7 Impact of Fuel Properties
4.8 Computational Efficiency

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Implications of Research
5.3 Contributions to the Field
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview on Computational modeling of combustion in a gas turbine combustor

Computational modeling has become an indispensable tool in the study of combustion processes in gas turbine combustors. This thesis aims to develop and validate a computational model that can accurately predict the combustion process in a gas turbine combustor. By leveraging computational fluid dynamics and combustion chemistry models, this research seeks to improve our understanding of combustion in gas turbines and contribute to the development of more efficient and environmentally friendly gas turbine technologies.

Chapter 1 provides an introduction to the research topic, including the background of study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 reviews the relevant literature on gas turbine combustion, computational modeling of combustion, and previous studies on computational modeling of combustion in gas turbines. Chapter 3 outlines the research methodology, including the selection of computational modeling software, the development and validation of the computational model, simulation setup, and post-processing techniques.

Chapter 4 discusses the findings of the research, including simulation results, comparison with experimental data, analysis of combustion performance, sensitivity analysis, optimization studies, and the impact of operating conditions and fuel properties. Chapter 5 provides a conclusion and summary of the project, highlighting key findings, implications of research, contributions to the field, recommendations for future research, and final thoughts.

Overall, this thesis aims to advance our understanding of combustion in gas turbine combustors through the development and validation of a computational model. By improving the accuracy and efficiency of combustion modeling, this research contributes to the development of more sustainable and efficient gas turbine technologies.

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