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Table of contents
CHAPTER 1 LITERATURE REVIEW ON MODELING AND SIMULATION OF HEAT EXCHANGER
CHAPTER 2 CALIBRATION SYSTEM OF STEAM FLOWMETERS
2.1 Description of the system
2.2 Geometrie parameters of the heat exchanger
CHAPTER 3 DEVELOPMENT OF NEURAL NETWORK MODEL FOR A CONDENSER SYSTEM
3.1 Introduction to Neural N etworks
3.1.1 Basic unit of neural networks
3.1.2 General structure of artificial neural networks
3.1.3 Training a neural network
3.2 Preliminary analyses of the condenser system
3.2.1 Input and output parameters
3.2.2 Choice of experimental data
3.2.3 Data division for testing neural network model
3.2.4 Data normalization
3.3 Determination of ANN architecture
3. 3 .1 General approach
3.3.2 Mathematical training algorithm
3.3.3 Resulting NN for steam condenser system
3.4 Application ofretained neural network
3.5 Conclusion
CHAPTER 4 A PHYSICAL MODEL FOR THE STEAM CONDENSER SYSTEM
4.1 Objective
4.2 Modelling
4.3 Mathematical equations of the model
4.3.1 Continuity equations
4.3.2 Energy equations of control volumes on shell side
4.3.3 Energy equations of control volumes on tube side
4.3.4 Heat transfer equations across tube walls
4.3.5 Miscellaneous relationships
4.4 Equation system solving
4.5 Model validation
CHAPTER 5 CONCLUSION
ANNEXS
1: Values ofthe weight matrices w1, w2, w3 and bias b1, b2, b3
2 : Programs in matlab
BIBLIOGRAPHY
