Introduction to Software for Chemical Engineers

Auteur

Mariano 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 Modelling 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, h=41 (Scopus) and has edited five other books.

Texte du rabat

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.

Résumé
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.

Contenu

0. Front Matter. Part I. Modeling and Simulation in the Chem. Eng 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 & Pyomo for chemical Engineering. 7. Data analysis for chemical engineers: Introduction to r. 8. Minitab. 9. SPSS. Part III. Detailed Equipment Design and Analysis. 10. Computational fluid dynamics and Multiphysics. 11. Discrete element Methods. Applications in Process Engineering (DEM). Part IV. Process simulation. 12. Process flowsheeting in chemical engineering. 13. Introduction to gProms for Chemical Engineering. 14. Engineering Equation Solver for Chemical Engineering. 15. Modular Process simulators. 16. LCA Life cycle assessment in chemical processes: Introduction to SimaPro. Part V. Process Design & 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. 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.