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· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 응용수학
· ISBN : 9781498785105
· 쪽수 : 242쪽
· 출판일 : 2017-08-28
목차
Chapter 1 Introduction to optimization
1.1 What is optimization?
1.2 Mathematical modelling and optimization
1.3 Classification of optimization problems
1.4 Objective function
1.5 Optimization with constraints: feasible region
1.6 Multiobjective optimization
1.7 Process optimization
References
Chapter 2 Deterministic optimization
2.1 Introduction
2.2 Single variable deterministic optimization
2.3 Continuity and convexity
2.4 Unconstrained optimization
2.5 Equality-constrained optimization
2.6 Equality and inequality-constrained optimization
2.7 Software for deterministic optimization
References
Chapter 3 Stochastic optimization
3.1 Introduction to stochastic optimization
3.2 Stochastic optimization vs deterministic optimization
3.3 Stochastic optimization with constraints
3.4 Genetic algorithms
3.5 Differential evolution
3.6 Tabu search
3.7 Simulated annealing
3.8 Other methods
References
Chapter 4 The simulator Aspen Plus
4.1 Importance of software for process analysis
4.2 Characteristics of the process simulator Aspen Plus
4.3 Sequential modular simulation
References
Chapter 5 Direct optimization in Aspen Plus
5.1 Optimization methods
5.2 Sensitivity analysis tools in Aspen Plus
5.3 Sequential quadratic programming (SQP) in Aspen Plus
5.4 Optimization of a heat exchanger
5.5 Optimization of a flash drum
5.6 Optimization of a tubular reactor
References
Chapter 6 Optimization using Aspen Plus and a stochastic toolbox
6.1 Introduction
6.2 Software for stochastic optimization
6.3 Linking Aspen Plus with the stochastic optimization software
6.4 Mono-objective optimization of a multicomponent distillation column
6.5 Multi-objective optimization of a multicomponent distillation column
6.6 Conclusions
References
Chapter 7 Using an external user defined block model in Aspen Plus
7.1 Introduction
7.2 Importance of the user defined block models
7.3 Previous work and loading a user defined block model in Aspen Plus
7.4 Linking the user defined block model with Microsoft Excel and Matlab
7.5 Conclusions
References
Chapter 8 Optimization with a user kinetic model
Introduction
8.1 Kinetic models allowed in Aspen Plus
8.2 Developing a user kinetic model
8.3 Loading a user kinetic model in Aspen Plus
8.4 Optimization of a reactive distillation column with a user kinetic model
8.5 Reactive distillation column with a default kinetic model
8.6 Conclusions
References
Chapter 9 Optimization of a biobutanol production process
9.1 Description of the process
9.2 Thermodynamics and kinetic model
9.3 Optimization process
9.4 Optimization results
9.5 Conclusions
References
Chapter 10 Optimization of a silane production process
10.1 Introduction
10.2 Silane production
10.3 Description of the process using reactive distillation
10.4 Economic potential of reactive distillation production of silane
10.5 Thermodynamics and kinetic model
10.6 Initial designs
10.7 Process optimization
10.8 Conclusions
References
