Introduction to Software for Chemical Engineers
Herausgeber: Martín, Mariano Martín
Introduction to Software for Chemical Engineers
Herausgeber: Martín, Mariano Martín
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Introduction to Software for Chemical Engineers, Third Edition is a quick guide to using various computer packages for Chemical Engineering applications. It covers a range of software applications, general mathematical packages, process simulators, equation-based modeling languages, optimization software, and specialized software.
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Introduction to Software for Chemical Engineers, Third Edition is a quick guide to using various computer packages for Chemical Engineering applications. It covers a range of software applications, general mathematical packages, process simulators, equation-based modeling languages, optimization software, and specialized software.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- 3rd edition
- Seitenzahl: 864
- Erscheinungstermin: 24. März 2025
- Englisch
- Abmessung: 234mm x 156mm x 46mm
- Gewicht: 1406g
- ISBN-13: 9781032750965
- ISBN-10: 1032750960
- Artikelnr.: 71687189
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd (Sales)
- 3rd edition
- Seitenzahl: 864
- Erscheinungstermin: 24. März 2025
- Englisch
- Abmessung: 234mm x 156mm x 46mm
- Gewicht: 1406g
- ISBN-13: 9781032750965
- ISBN-10: 1032750960
- Artikelnr.: 71687189
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Mariano Martín Martín is Full Professor of Chemical Engineering at the University of Salamanca and the leader of its Sustainable Processes and Products Lab. He graduated cum laude in an integrated program (BSc+MEng), and acquired a PhD in chemical engineering from the same university. Prof. Martín previously worked as a postdoctoral engineer at Procter & Gamble, where he received the P&G Award for his outstanding contributions to modeling and simulation, and as a Fulbright Postdoctoral Fellow at Carnegie Mellon University. Prof. Martín has been a visiting professor at the University of Wisconsin Madison, CMU, Texas A&M, University of Leeds, University of Birmingham, Plapiqui, Udelar, Universidad de Guanajuato, UNAL, and University of Maribor, among others. He has published over 190 papers, has an h-index of 42 (Scopus), and has edited five other books.
Front Matter. Part I. Modeling and Simulation in the Chemical Engineering
CV and Its Application to Industry. 1. Modeling, Simulation and
Optimization in the Chemical Engineering Curriculum. 2. Modeling,
Simulation and Optimization in the Process and Commodities Industries. Part
II. General Tools. 3. Excel for Chemical Engineering. 4. MATLAB® for
Chemical Engineering. 5. PTC Mathcad for Chemical Engineering. 6. Python
and Pyomo for Chemical Engineering. 7. Data Analysis for Chemical
Engineers: Introduction to R. 8. Minitab for Chemical Engineering. 9.
Statistical Analysis with SPSS for Chemical Engineering. Part III. Detailed
Equipment Design and Analysis. 10. Computational Fluid Dynamics and
Multiphysics. 11. Discrete Element Method Applications in Process
Engineering. Part IV. Process Simulation. 12. Process Flowsheeting in
Chemical Engineering. 13. Introduction to gPROMS for Chemical Engineering.
14. EES for Chemical Engineering. 15. Modular Process Simulators. 16. Life
Cycle Assessment in Chemical Processes: Introduction to SimaPro. Part V.
Process Design and Optimization. 17. Algebraic Modeling and Optimization.
18. Use of GAMS for Optimal Process Synthesis and Operation. 19. AIMMS for
Scheduling of Chemical Plants. 20. Plant Location: Supply Chain Management.
21. Dynamics Optimization in Process Systems. 22. Optimization in Chemical
and Biological Engineering Using Julia. 23. Fast Deployment of Optimization
Applications Using SolverStudio. 24. Use of Lingo for Product Design. 25.
Control Station for Chemical Engineering: LOOP PRO.
CV and Its Application to Industry. 1. Modeling, Simulation and
Optimization in the Chemical Engineering Curriculum. 2. Modeling,
Simulation and Optimization in the Process and Commodities Industries. Part
II. General Tools. 3. Excel for Chemical Engineering. 4. MATLAB® for
Chemical Engineering. 5. PTC Mathcad for Chemical Engineering. 6. Python
and Pyomo for Chemical Engineering. 7. Data Analysis for Chemical
Engineers: Introduction to R. 8. Minitab for Chemical Engineering. 9.
Statistical Analysis with SPSS for Chemical Engineering. Part III. Detailed
Equipment Design and Analysis. 10. Computational Fluid Dynamics and
Multiphysics. 11. Discrete Element Method Applications in Process
Engineering. Part IV. Process Simulation. 12. Process Flowsheeting in
Chemical Engineering. 13. Introduction to gPROMS for Chemical Engineering.
14. EES for Chemical Engineering. 15. Modular Process Simulators. 16. Life
Cycle Assessment in Chemical Processes: Introduction to SimaPro. Part V.
Process Design and Optimization. 17. Algebraic Modeling and Optimization.
18. Use of GAMS for Optimal Process Synthesis and Operation. 19. AIMMS for
Scheduling of Chemical Plants. 20. Plant Location: Supply Chain Management.
21. Dynamics Optimization in Process Systems. 22. Optimization in Chemical
and Biological Engineering Using Julia. 23. Fast Deployment of Optimization
Applications Using SolverStudio. 24. Use of Lingo for Product Design. 25.
Control Station for Chemical Engineering: LOOP PRO.
Front Matter. Part I. Modeling and Simulation in the Chemical Engineering
CV and Its Application to Industry. 1. Modeling, Simulation and
Optimization in the Chemical Engineering Curriculum. 2. Modeling,
Simulation and Optimization in the Process and Commodities Industries. Part
II. General Tools. 3. Excel for Chemical Engineering. 4. MATLAB® for
Chemical Engineering. 5. PTC Mathcad for Chemical Engineering. 6. Python
and Pyomo for Chemical Engineering. 7. Data Analysis for Chemical
Engineers: Introduction to R. 8. Minitab for Chemical Engineering. 9.
Statistical Analysis with SPSS for Chemical Engineering. Part III. Detailed
Equipment Design and Analysis. 10. Computational Fluid Dynamics and
Multiphysics. 11. Discrete Element Method Applications in Process
Engineering. Part IV. Process Simulation. 12. Process Flowsheeting in
Chemical Engineering. 13. Introduction to gPROMS for Chemical Engineering.
14. EES for Chemical Engineering. 15. Modular Process Simulators. 16. Life
Cycle Assessment in Chemical Processes: Introduction to SimaPro. Part V.
Process Design and Optimization. 17. Algebraic Modeling and Optimization.
18. Use of GAMS for Optimal Process Synthesis and Operation. 19. AIMMS for
Scheduling of Chemical Plants. 20. Plant Location: Supply Chain Management.
21. Dynamics Optimization in Process Systems. 22. Optimization in Chemical
and Biological Engineering Using Julia. 23. Fast Deployment of Optimization
Applications Using SolverStudio. 24. Use of Lingo for Product Design. 25.
Control Station for Chemical Engineering: LOOP PRO.
CV and Its Application to Industry. 1. Modeling, Simulation and
Optimization in the Chemical Engineering Curriculum. 2. Modeling,
Simulation and Optimization in the Process and Commodities Industries. Part
II. General Tools. 3. Excel for Chemical Engineering. 4. MATLAB® for
Chemical Engineering. 5. PTC Mathcad for Chemical Engineering. 6. Python
and Pyomo for Chemical Engineering. 7. Data Analysis for Chemical
Engineers: Introduction to R. 8. Minitab for Chemical Engineering. 9.
Statistical Analysis with SPSS for Chemical Engineering. Part III. Detailed
Equipment Design and Analysis. 10. Computational Fluid Dynamics and
Multiphysics. 11. Discrete Element Method Applications in Process
Engineering. Part IV. Process Simulation. 12. Process Flowsheeting in
Chemical Engineering. 13. Introduction to gPROMS for Chemical Engineering.
14. EES for Chemical Engineering. 15. Modular Process Simulators. 16. Life
Cycle Assessment in Chemical Processes: Introduction to SimaPro. Part V.
Process Design and Optimization. 17. Algebraic Modeling and Optimization.
18. Use of GAMS for Optimal Process Synthesis and Operation. 19. AIMMS for
Scheduling of Chemical Plants. 20. Plant Location: Supply Chain Management.
21. Dynamics Optimization in Process Systems. 22. Optimization in Chemical
and Biological Engineering Using Julia. 23. Fast Deployment of Optimization
Applications Using SolverStudio. 24. Use of Lingo for Product Design. 25.
Control Station for Chemical Engineering: LOOP PRO.