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Introduction:

Combustion in furnaces is a complex process that involves the rapid chemical reaction between fuel and oxidizer, resulting in the release of heat energy. Computational modeling has become an essential tool in studying and optimizing combustion processes in furnaces. By using advanced computer simulations, researchers can gain valuable insights into the physics and chemistry of combustion, leading to improved furnace design, efficiency, and emissions control.

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 Fundamentals of combustion
2.2 Computational modeling in combustion
2.3 Numerical methods for combustion simulation
2.4 Advances in combustion modeling software
2.5 Applications of computational combustion modeling
2.6 Challenges in combustion modeling
2.7 Experimental validation of computational models
2.8 Combustion optimization strategies
2.9 Environmental impacts of combustion
2.10 Future trends in combustion modeling

Chapter 3: System Design and Methodology
3.1 Selection of combustion model
3.2 Development of computational grid
3.3 Modeling the furnace geometry
3.4 Fuel and oxidizer injection simulation
3.5 Reaction kinetics modeling
3.6 Heat transfer calculations
3.7 Radiation modeling
3.8 Validation of computational model

Chapter 4: System Implementation
4.1 Software and hardware requirements
4.2 Coding and implementation of combustion model
4.3 Testing and debugging
4.4 Optimization of computational model
4.5 Validation with experimental data
4.6 Sensitivity analysis
4.7 Performance evaluation
4.8 Comparison with existing models

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Contributions to the field
5.3 Implications for furnace design and operation
5.4 Future research directions
5.5 Conclusion

Thesis Overview:

Computational modeling of combustion in a furnace is an essential aspect of modern engineering research, as it allows for a detailed understanding of the complex processes involved in fuel combustion. This thesis aims to explore the use of computational modeling techniques to study combustion in a furnace, with a focus on optimizing efficiency and reducing emissions.

Chapter 1 provides an introduction to the topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 reviews the existing literature on combustion fundamentals, computational modeling techniques, numerical methods, software tools, applications, challenges, validation, optimization strategies, and environmental impacts.

Chapter 3 details the system design and methodology for the computational model, including the selection of combustion model, development of grid, geometry modeling, injection simulation, reaction kinetics, heat transfer, radiation modeling, and validation. Chapter 4 discusses the system implementation process, including software/hardware requirements, coding, testing, optimization, validation, sensitivity analysis, and performance evaluation.

Chapter 5 concludes the thesis with a summary of findings, contributions, implications, future research directions, and a final conclusion. Overall, this thesis aims to contribute to the field of combustion modeling by providing a comprehensive analysis of computational techniques in furnace combustion processes.

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