Full Description
Simultaneous Mass Transfer and Chemical Reactions in Engineering Science A comprehensive look at the basic science of diffusional process and mass transfer
Mass transfer as a principle is an essential part of numerous unit operations in biomolecular, chemical, and process engineering; crystallization, distillation, and membrane separation processes, for example, use this important method. Given this significance - particularly in engineering design where these processes occur - understanding the design and analysis of such unit operations must begin with a basic understanding of how simultaneous mass transfer and the chemical reactions that influence these occurrences. It is also vital to be aware of the most up-to-date technologies for analyzing and predicting the phenomena.
Given the significance of this process, Simultaneous Mass Transfer and Chemical Reactions in Engineering Science is an important resource as it introduces the reader to the complex subject of simultaneous mass transfer with biochemical and chemical reactions and gives them the tools to develop an applicable design. Analyzing the systems of simultaneous mass transfer and reactions is at the core of this book, as all known design approaches are carefully examined and compared. The volume also provides the reader with a working knowledge of the latest technologies - with a special focus on the open-sourced computer programming language R - and how these tools are an essential resource in quantitative assessment in analysis models.
Simultaneous Mass Transfer and Chemical Reactions in Engineering Science provides a working knowledge of the latest information on simultaneous mass transfer and reactions by focusing on the analysis of this process, as well as discussing the existence and distinctive quality of the solutions to the Simultaneous Mass Transfer and Chemical Reactions in Engineering Science readers will also find:
A theoretical basis of each design model that is carefully stated, compared, and assessed
Carefully developed and established Existence and Uniqueness Theorems for a general design model
Comprehensive coverage of how the programming language R may be used to analyze models
Numerous examples and case studies that provide a working knowledge of simultaneous mass transfer and reactions
Simultaneous Mass Transfer and Chemical Reactions in Engineering Science is a useful reference for students in chemical engineering, biotechnology, or chemistry, as well as professional process and chemical engineers.
Contents
Preface
1. INTRODUCTION TO SIMULTANEOUS MASS TRANSFER AND
CHEMICAL REACTIONS IN ENGINEERING SCIENCE
1.1 Mathematical Models
1.2 Diffusion Models for Environmental Transport
2. DATA ANALYSIS USING R PROGRAMMING
2.1 Data and Processing
2.2 Beginning R
2.2.1 A First Session Using R
2.2.2 The R Environment
2.3 R as a Calculator
2.3.1 Mathematical Operations Using R
2.3.2 Assignment of Values in R, and Computations using Vectors and Matrices
2.3.3 Computations in Vectors and Simple Graphics
2.3.4 Use of Factors in R Programming
2.3.5 Simple Graphics
2.3.6 x as Vectors and Matrices in Statistics
2.3.7 Some Special Functions that Create Vectors
2.3.8 Arrays and Matrices
2.3.9 Use of the Dimension Function dim in R
2.3.10 Use of the Matrix Function matrix in R
2.3.11 Some Useful Functions Operating on Matrices in R
2.3.12 NA `Not Available? for Missing Values in Datasets
2.3.13 Special Functions That Create Vectors
2.4 Using R in Data Analysis in Human Genetic Epidemiology
2.4.1 Entering Data at the R Command Prompt
2.4.1.1 Creating a data-frame for R computation using the EXCEL spreadsheet (on a Windows platform)
2.4.1.2 Obtaining a Data Frame from a Text File
2.4.1.3 Data Entry and Analysis Using the Function data.entry()
2.4.1.4 Data Entry Using Several Available R Functions
2.4.1.5 Data Entry and Analysis Using the Function
2.4.1.6 Data Entry and Analysis Using the Function source()
2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R
2.4.1.8 Human Genetic epidemiology Using R: The CRAN Package GASTON in Genetics
2.4.2 The Function list() and the Making of data.frame() in R
2.5 Univariate, Bivariate, and Multivariate Data Analysis
2.5.1 Univariate Data Analysis
2.5.2 Bivariate and Multivariate Data Analysis
2.6 Some Final Remarks on Statistics and Biostatistics, Using
Appendix 1 Documentation for the plot function
Special References for Chapter 2
References
Index
