UID:
almafu_9961219719002883
Format:
1 online resource (XVII, 252 p.)
Edition:
2nd, Revised and Extended Edition
ISBN:
9783110797985
Series Statement:
De Gruyter Textbook
Content:
Follow step-by-step explanations to understand mathematical models – algebraic and differential equations – of chemical reactors and how numerical models workin computer implementation. Learn the basics behind current user-friendly tools in numerical simulation and optimization of reactor systems (Python, Matlab, Julia and gPROMS). Discover how to select the right algorithm for specific reactor models from homogenous to multiphase systems and structured reactors in detailed discussions at the end of each chapter. In this second edition, 20 solved example simulations performed in MATLAB and Python are included for demonstration purposes.
Note:
Frontmatter --
,
Preface to the second edition --
,
Preface to the first edition --
,
Contents --
,
Nomenclature --
,
1 Introduction --
,
2 Kinetics in reaction engineering --
,
3 Modelling of homogeneous systems --
,
4 Modelling of fixed beds and fluidized beds --
,
5 Modelling of three-phase systems --
,
6 Modelling of gas-liquid systems --
,
7 Structured reactors --
,
8 Modelling of unsteady-state reactor systems --
,
9 Equipment and models for laboratory experiments --
,
10 Parameter estimation in reaction engineering --
,
References --
,
Exercises --
,
Appendices --
,
Appendix A. Numerical strategies in the solution of nonlinear algebraic equations and ordinary differential equations Two kinds of numerical tasks appear very often in solving tasks --
,
Appendix B. Computer simulation of CSTR, PFR and batch reactor models --
,
Appendix C. Numerical simulation of non-isothermal tubular reactors --
,
Index
,
Issued also in print.
,
In English.
Additional Edition:
ISBN 9783110798395
Additional Edition:
ISBN 9783110797978
Language:
English
DOI:
10.1515/9783110797985
URL:
https://doi.org/10.1515/9783110797985
URL:
https://www.degruyter.com/isbn/9783110797985
URL:
https://doi.org/10.1515/9783110797985
URL:
https://www.degruyter.com/isbn/9783110797985
