The field of chemical engineering and its link to computer science is in constant evolution, and engineers have an ever-growing variety of tools at their disposal to tackle everyday problems. Introduction to Software for Chemical Engineers, Third Edition provides a quick guide to the use of various computer packages for chemical engineering applications. It covers a range of software applications, including Excel and general mathematical packages such as MATLAB®, MathCAD, R, and Python. Coverage also extends to process simulators such as CHEMCAD, HYSYS, and Aspen; equation-based modeling languages such as gPROMS; optimization software such as GAMS, AIMS, and Julia; and specialized software like CFD or DEM codes. The different packages are introduced and applied to solve typical problems in fluid mechanics, heat and mass transfer, mass and energy balances, unit operations, reactor engineering, and process and equipment design and control.
This new edition is updated throughout to reflect software updates and new packages. It emphasizes the addition of SimaPro due to the importance of life cycle assessment, as well as general statistics software, SPSS, and Minitab that readers can use to analyze lab data. The book also includes new chapters on flowsheeting drawing, process control, and LOOP Pro, as well as updates to include Pyomo as an optimization platform, reflecting current trends. The text offers a global idea of the capabilities of the software used in the chemical engineering field and provides examples for solving real-world problems.
Written by leading experts, this handbook is a must-have reference for chemical engineers looking to grow in their careers through the use of new and improving computer software. Its user-friendly approach to simulation and optimization, as well as its example-based presentation of the software, makes it a perfect teaching tool for both undergraduate- and graduate-level readers.
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.
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.
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.
