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重油催化裂化12集总反应动力学模型开发

摘要第5-6页
Abstract第6页
Chapter 1. Introduction第10-33页
    1.1 Heavy oil upgrading processes第11-12页
    1.2 Fluid Catalytic Cracking (FCC)第12-18页
        1.2.1 Overview第12页
        1.2.2 Catalytic cracking reaction mechanism第12-18页
    1.3 Development of FCC Lump-Kinetic Model第18-27页
        1.3.1 Association model第18-19页
        1.3.2 Lumped-Kinetic Model第19-26页
        1.3.3 Molecular scale kinetic Model第26-27页
    1.4 Research progress of model solving algorithm第27-31页
        1.4.1 Quasi-Newton method第27-30页
        1.4.3 Genetic algorithm第30页
        1.4.4 Simulated Annealing method第30-31页
    1.5 The research content of this paper第31-33页
Chapter 2. Development of Kinetic Model for Residue Catalytic Cracking第33-41页
    2.1 Division of the model's total components第33-34页
    2.2 The establishment of model reaction network第34-35页
    2.3 Mathematical expression of the Kinetic model equation第35-40页
    2.4 Summary第40-41页
Chapter 3. Establishment of Model Solving Algorithm第41-49页
    3.1 Algorithm for solving differential equation第41-44页
        3.1.1 Runge-Kutta Method第42页
        3.1.2 Flow Chat of Runge-Kutta algorithm第42-44页
    3.2 The objective function optimization algorithm第44-48页
        3.2.1 BFGS algorithm principle第44-47页
        3.2.2 BFGS algorithm steps第47-48页
    3.3 Summary第48-49页
Chapter 4. Design and Development of Model Software第49-59页
    4.1 Model software development process第49-52页
        4.1.1 Demand Analysis第49-50页
        4.1.2 Software Design第50-52页
    4.2 Introduction to Model Software第52-56页
        4.2.1 Model Software Configuration Interface第52-53页
        4.2.2 Rate Constant Input Interface第53-54页
        4.2.3 Input interface of known conditions第54-55页
        4.2.5 Output interface for fitting process第55-56页
        4.2.6 Output Interface for Prediction results第56页
    4.3 Functional Modules of Model Software第56-58页
        4.3.1 Back Calculation Module for Kinetic Parameters Calculation第56-57页
        4.3.2 Prediction Calculation Module第57-58页
    4.4 Summary第58-59页
Chapter 5 Instance Verification of Model Software第59-70页
    5.1 Verification Data and Its Source第59-61页
    5.2 Application of Model Software第61-64页
        5.2.1 Fitting Configuration Process第61页
        5.2.2 Initial Value Input Process第61-62页
        5.2.3 Fitting data input process第62页
        5.2.4 Fitting operation process第62-63页
        5.2.5 Saving Process Kinetic Parameters第63页
        5.2.6 Prediction Process of product Distribution第63-64页
    5.3 Kinetic Parameter Estimation and Prediction Calculation Results第64-69页
        5.3.1 Calculation Results from the Model Software第64-69页
        5.3.2 Error Analysis of Prediction Results第69页
    5.4 Summary第69-70页
Chapter 6 Conclusions and Prospects第70-72页
    6.1 Conclusion第70页
    6.2 Outlook第70-72页
REFERENCE第72-77页
Acknowledgement第77页

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