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A Numerical Primer for the Chemical Engineer Hardcover, by Zondervan Edwin
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Standort: Columbus, Georgia, USA
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eBay-Artikelnr.:326870419056
Artikelmerkmale
- Artikelzustand
- Book Title
- A Numerical Primer for the Chemical Engineer
- ISBN
- 9781482229448
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1482229447
ISBN-13
9781482229448
eBay Product ID (ePID)
201603892
Product Key Features
Number of Pages
193 Pages
Language
English
Publication Name
Numerical Primer for the Chemical Engineer
Subject
Engineering (General), Chemical & Biochemical, Applied, Chemistry / Industrial & Technical
Publication Year
2014
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
0.6 in
Item Weight
14.4 Oz
Item Length
9.4 in
Item Width
6.5 in
Additional Product Features
Intended Audience
College Audience
LCCN
2014-019438
Dewey Edition
23
TitleLeading
A
Illustrated
Yes
Dewey Decimal
660
Table Of Content
The role of models in chemical engineering Introduction The idea of a model Model building Model analysis Model solution strategies Summary Exercises Errors in computer simulations Introduction Significant digits Round off and truncation errors Break errors Loss of digits Ill conditioned problems (Un-)stable methods Summary Exercises Linear equations Introduction MATLAB Linear systems The inverse of a matrix The determinant of a matrix Useful properties Matrix ranking Eigenvalues and eigenvectors Spectral decomposition Summary Exercises Elimination methods Introduction MATLAB Gaussian elimination LU factorization Summary Exercises Iterative methods Introduction Laplace¿s equation LU factorization Iterative methods The Jacobi method Example for the Jacobi method Summary Exercises Nonlinear equations Introduction Newton¿s method D Newton¿s method D Reduced Newton step method Quasi Newton¿s method Summary Exercises Ordinary di¿erential equations Introduction Euler¿s method Accuracy and stability of Euler¿s method The implicit Euler method Stability of the implicit Euler method Systems of ODE¿s Stability of ODE systems Sti¿ness of ODE systems Higher order methods Summary Exercises Partial di¿erential equations 1 Introduction Types of PDE¿s The method of the lines Stability Summary Exercises Partial di¿erential equations 2 Introduction Transport PDE¿s Finite Volumes Discretizing the control volumes Transfer of heat to ¿uid in a pipe Simulation of the heat PDE Summary Exercises Data regression and curve ¿tting Introduction The least squares method Residual analysis ANOVA analysis Con¿dence limits Summary Exercises Optimization Introduction Linear programming Nonlinear programming Integer programming Summary Exercises Basics of Matlab Introduction The Matlab user interface The array structure Basic calculations Plotting Reading and writing data Functions and m-¿les Repetitive operations Numerical methods in Excel Introduction Basic functions in Excel The Excel solver Solving nonlinear equations in Excel Di¿erentiation Excel Curve ¿tting in Excel Case studies Introduction Modeling a separation system Modeling a chemical reactor system PVT behavior of pure substances Dynamic modeling of a distillation column Dynamic modeling of an extraction cascade (ODE¿s) Distributed parameter models for a tubular reactor Modeling of an extraction column Fitting of kinetic data Fitting of NRTL model parameters Optimizing a crude oil re¿nery Planning in a manufacturing line Bibliography
Synopsis
Solve Developed Models in a Numerical Fashion Designed as an introduction to numerical methods for students, A Numerical Primer for the Chemical Engineer explores the role of models in chemical engineering. Combining mathematical correctness (model verification) with numerical performance (model validation), this text concentrates on numerical methods and problem solving, rather than focusing on in-depth numerical analysis. It applies actual numerical solution strategies to formulated process models to help identify and solve chemical engineering problems. Describe Motions with Accuracy The book starts with a recap on linear algebra, and uses algorithms to solve linear equations, nonlinear equations, ordinary differential equations, and partial differential equations (PDEs). It includes an introductory chapter on MATLAB(R) basics, contains a chapter on the implementation of numerical methods in Excel, and even adopts MATLAB and Excel as the programming environments throughout the text. The material addresses implicit and explicit schemes, and explores finite difference and finite volume methods for solving transport PDEs. It covers the methods for error and computational stability, as well as curve fitting and optimization. It also contains a case study chapter with worked out examples to demonstrate the numerical techniques, and exercises at the end of each chapter that students can use to familiarize themselves with the numerical methods. A Numerical Primer for the Chemical Engineer lays down a foundation for numerical problem solving and sets up a basis for more in-depth modeling theory and applications. This text addresses the needs of senior undergraduates in chemical engineering, and students in applied chemistry and biochemical process engineering/food process engineering., Solve Developed Models in a Numerical Fashion Designed as an introduction to numerical methods for students, A Numerical Primer for the Chemical Engineer explores the role of models in chemical engineering. Combining mathematical correctness (model verification) with numerical performance (model validation), this text concentrates on numerical methods and problem solving, rather than focusing on in-depth numerical analysis. It applies actual numerical solution strategies to formulated process models to help identify and solve chemical engineering problems. Describe Motions with Accuracy The book starts with a recap on linear algebra, and uses algorithms to solve linear equations, nonlinear equations, ordinary differential equations, and partial differential equations (PDEs). It includes an introductory chapter on MATLAB¿basics, contains a chapter on the implementation of numerical methods in Excel, and even adopts MATLAB and Excel as the programming environments throughout the text. The material addresses implicit and explicit schemes, and explores finite difference and finite volume methods for solving transport PDEs. It covers the methods for error and computational stability, as well as curve fitting and optimization. It also contains a case study chapter with worked out examples to demonstrate the numerical techniques, and exercises at the end of each chapter that students can use to familiarize themselves with the numerical methods. A Numerical Primer for the Chemical Engineer lays down a foundation for numerical problem solving and sets up a basis for more in-depth modeling theory and applications. This text addresses the needs of senior undergraduates in chemical engineering, and students in applied chemistry and biochemical process engineering/food process engineering.
LC Classification Number
TP155.2.M36Z66 2014
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