Computation of mathematical models for complex industrial processes:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, NJ
World Scientific Publishing Co. Inc.
2014
|
| Schriftenreihe: | Advances in process systems engineering
v. 4 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references 1. Introduction. 1.1. Background. 1.2. Motivation. 1.3. Process modelling. 1.4. Model approximation. 1.5. Algorithm design and setup. 1.6. Interpretation of verification of computing results. 1.7. Book outline -- 2. Fundamentals of process modelling and model computation. 2.1. Building mathematical models. 2.2. General ODE and PDE models for industrial processes. 2.3. Examples of ODE and PDE process models. 2.4. Solutions of process models. 2.5. The Runge-Kutta methods. 2.6. Finite difference methods. 2.7. Wavelets-based methods. 2.8. High resolution methods -- 3. Finite difference methods for ordinary differential equation models. 3.1. Fermentation processes. 3.2. Biology of lysine synthesis. 3.3. Model construction. 3.4. Numerical approximations of fermentation models. 3.5. Simulation for Batch fermentation. 3.6. Simulation for Fed-Batch fermentation -- - 4. Finite difference methods for partial differential equation models. 4.1. Continuous galvanizing processes. 4.2. Development of a PDE model. 4.3. Discrete state space model. 4.4. Stability analysis and parameter settings of the model. 4.5. Identification of model parameters. 4.6. Least-square algorithms for system identification. 4.7. Simplification of system identification algorithms. 4.8. Simulations and industrial applications -- 5. Wavelets-based methods. 5.1. Process modelling for chemical reactions. 5.2. Three versions of wavelet collocation methods. 5.3. Wavelet collocation method for reaction processes. 5.4. Model development for crystallization processes. 5.5. Wavelet Galerkin method for PDEs. 5.6. Solution based on wavelet Galerkin method -- - 6. High resolution methods. 6.1. Column chromatographic separation processes. 6.2. Model development for column chromatography. 6.3. Analytical solution for linear equilibrium case. 6.4. Model discretization using high resolution methods. 6.5. The Alexander method for time integration. 6.6. Solutions to the chromatographic process model. 6.7. Crystallization and population balance equations. 6.8. Crystallization with pure size-independent growth. 6.9. Process with size-independent growth and nucleation -- 7. Comparative studies of numerical methods for SMB chromatographic processes. 7.1. Chromatographic separation processes. 7.2. Dynamic modelling of SMBC processes. 7.3. Numerical computation. 7.4. Case study I: Fructose-glucose separation. 7.5. Case study II: Bi-naphthol enantiomers separation. 7.6. Concluding remarks -- 8. Conclusion Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes. Thus, they provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios |
| Beschreibung: | 1 Online-Ressource (xiv, 148 pages) |
| ISBN: | 1306941970 9781306941976 9789814360944 9814360945 |
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| 245 | 1 | 0 | |a Computation of mathematical models for complex industrial processes |c Yu-Chu Tian, Tonghua Zhang, Hongmei Yao, Moses O Tade |
| 264 | 1 | |a Hackensack, NJ |b World Scientific Publishing Co. Inc. |c 2014 | |
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| 490 | 0 | |a Advances in process systems engineering |v v. 4 | |
| 500 | |a Includes bibliographical references | ||
| 500 | |a 1. Introduction. 1.1. Background. 1.2. Motivation. 1.3. Process modelling. 1.4. Model approximation. 1.5. Algorithm design and setup. 1.6. Interpretation of verification of computing results. 1.7. Book outline -- 2. Fundamentals of process modelling and model computation. 2.1. Building mathematical models. 2.2. General ODE and PDE models for industrial processes. 2.3. Examples of ODE and PDE process models. 2.4. Solutions of process models. 2.5. The Runge-Kutta methods. 2.6. Finite difference methods. 2.7. Wavelets-based methods. 2.8. High resolution methods -- 3. Finite difference methods for ordinary differential equation models. 3.1. Fermentation processes. 3.2. Biology of lysine synthesis. 3.3. Model construction. 3.4. Numerical approximations of fermentation models. 3.5. Simulation for Batch fermentation. 3.6. Simulation for Fed-Batch fermentation -- | ||
| 500 | |a - 4. Finite difference methods for partial differential equation models. 4.1. Continuous galvanizing processes. 4.2. Development of a PDE model. 4.3. Discrete state space model. 4.4. Stability analysis and parameter settings of the model. 4.5. Identification of model parameters. 4.6. Least-square algorithms for system identification. 4.7. Simplification of system identification algorithms. 4.8. Simulations and industrial applications -- 5. Wavelets-based methods. 5.1. Process modelling for chemical reactions. 5.2. Three versions of wavelet collocation methods. 5.3. Wavelet collocation method for reaction processes. 5.4. Model development for crystallization processes. 5.5. Wavelet Galerkin method for PDEs. 5.6. Solution based on wavelet Galerkin method -- | ||
| 500 | |a - 6. High resolution methods. 6.1. Column chromatographic separation processes. 6.2. Model development for column chromatography. 6.3. Analytical solution for linear equilibrium case. 6.4. Model discretization using high resolution methods. 6.5. The Alexander method for time integration. 6.6. Solutions to the chromatographic process model. 6.7. Crystallization and population balance equations. 6.8. Crystallization with pure size-independent growth. 6.9. Process with size-independent growth and nucleation -- 7. Comparative studies of numerical methods for SMB chromatographic processes. 7.1. Chromatographic separation processes. 7.2. Dynamic modelling of SMBC processes. 7.3. Numerical computation. 7.4. Case study I: Fructose-glucose separation. 7.5. Case study II: Bi-naphthol enantiomers separation. 7.6. Concluding remarks -- 8. Conclusion | ||
| 500 | |a Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes. Thus, they provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios | ||
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Industrial Engineering |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Industrial Technology |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Manufacturing |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades |2 bisacsh | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Mathematical models |x Industrial applications | |
| 700 | 1 | |a Zhang, Tonghua |e Sonstige |4 oth | |
| 700 | 1 | |a Yao, Hongmei |e Sonstige |4 oth | |
| 700 | 1 | |a Tade, Moses O. |e Sonstige |4 oth | |
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Datensatz im Suchindex
| _version_ | 1804175430647808000 |
|---|---|
| any_adam_object | |
| author | Tian, Yu-Chu |
| author_facet | Tian, Yu-Chu |
| author_role | aut |
| author_sort | Tian, Yu-Chu |
| author_variant | y c t yct |
| building | Verbundindex |
| bvnumber | BV043057847 |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)883374314 (DE-599)BVBBV043057847 |
| dewey-full | 670.15118 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.15118 |
| dewey-search | 670.15118 |
| dewey-sort | 3670.15118 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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| id | DE-604.BV043057847 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:10Z |
| institution | BVB |
| isbn | 1306941970 9781306941976 9789814360944 9814360945 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028482039 |
| oclc_num | 883374314 |
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| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (xiv, 148 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | World Scientific Publishing Co. Inc. |
| record_format | marc |
| series2 | Advances in process systems engineering |
| spelling | Tian, Yu-Chu Verfasser aut Computation of mathematical models for complex industrial processes Yu-Chu Tian, Tonghua Zhang, Hongmei Yao, Moses O Tade Hackensack, NJ World Scientific Publishing Co. Inc. 2014 1 Online-Ressource (xiv, 148 pages) txt rdacontent c rdamedia cr rdacarrier Advances in process systems engineering v. 4 Includes bibliographical references 1. Introduction. 1.1. Background. 1.2. Motivation. 1.3. Process modelling. 1.4. Model approximation. 1.5. Algorithm design and setup. 1.6. Interpretation of verification of computing results. 1.7. Book outline -- 2. Fundamentals of process modelling and model computation. 2.1. Building mathematical models. 2.2. General ODE and PDE models for industrial processes. 2.3. Examples of ODE and PDE process models. 2.4. Solutions of process models. 2.5. The Runge-Kutta methods. 2.6. Finite difference methods. 2.7. Wavelets-based methods. 2.8. High resolution methods -- 3. Finite difference methods for ordinary differential equation models. 3.1. Fermentation processes. 3.2. Biology of lysine synthesis. 3.3. Model construction. 3.4. Numerical approximations of fermentation models. 3.5. Simulation for Batch fermentation. 3.6. Simulation for Fed-Batch fermentation -- - 4. Finite difference methods for partial differential equation models. 4.1. Continuous galvanizing processes. 4.2. Development of a PDE model. 4.3. Discrete state space model. 4.4. Stability analysis and parameter settings of the model. 4.5. Identification of model parameters. 4.6. Least-square algorithms for system identification. 4.7. Simplification of system identification algorithms. 4.8. Simulations and industrial applications -- 5. Wavelets-based methods. 5.1. Process modelling for chemical reactions. 5.2. Three versions of wavelet collocation methods. 5.3. Wavelet collocation method for reaction processes. 5.4. Model development for crystallization processes. 5.5. Wavelet Galerkin method for PDEs. 5.6. Solution based on wavelet Galerkin method -- - 6. High resolution methods. 6.1. Column chromatographic separation processes. 6.2. Model development for column chromatography. 6.3. Analytical solution for linear equilibrium case. 6.4. Model discretization using high resolution methods. 6.5. The Alexander method for time integration. 6.6. Solutions to the chromatographic process model. 6.7. Crystallization and population balance equations. 6.8. Crystallization with pure size-independent growth. 6.9. Process with size-independent growth and nucleation -- 7. Comparative studies of numerical methods for SMB chromatographic processes. 7.1. Chromatographic separation processes. 7.2. Dynamic modelling of SMBC processes. 7.3. Numerical computation. 7.4. Case study I: Fructose-glucose separation. 7.5. Case study II: Bi-naphthol enantiomers separation. 7.6. Concluding remarks -- 8. Conclusion Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes. Thus, they provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh Mathematisches Modell Mathematical models Industrial applications Zhang, Tonghua Sonstige oth Yao, Hongmei Sonstige oth Tade, Moses O. Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=810361 Aggregator Volltext |
| spellingShingle | Tian, Yu-Chu Computation of mathematical models for complex industrial processes TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh Mathematisches Modell Mathematical models Industrial applications |
| title | Computation of mathematical models for complex industrial processes |
| title_auth | Computation of mathematical models for complex industrial processes |
| title_exact_search | Computation of mathematical models for complex industrial processes |
| title_full | Computation of mathematical models for complex industrial processes Yu-Chu Tian, Tonghua Zhang, Hongmei Yao, Moses O Tade |
| title_fullStr | Computation of mathematical models for complex industrial processes Yu-Chu Tian, Tonghua Zhang, Hongmei Yao, Moses O Tade |
| title_full_unstemmed | Computation of mathematical models for complex industrial processes Yu-Chu Tian, Tonghua Zhang, Hongmei Yao, Moses O Tade |
| title_short | Computation of mathematical models for complex industrial processes |
| title_sort | computation of mathematical models for complex industrial processes |
| topic | TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh Mathematisches Modell Mathematical models Industrial applications |
| topic_facet | TECHNOLOGY & ENGINEERING / Industrial Engineering TECHNOLOGY & ENGINEERING / Industrial Technology TECHNOLOGY & ENGINEERING / Manufacturing TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades Mathematisches Modell Mathematical models Industrial applications |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=810361 |
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