This book addresses the applications of MATLAB and Simulink in the solution of chemical engineering problems. By classifying the problems into seven different categories, the author organizes this book as follows:
Chapter One - Solution of a System of Linear Equations
Chapter Two - Solution of Nonlinear Equations
Chapter Three - Interpolation, Differentiation and Integration
Chapter Four- Numerical Solution of Ordinary Differential Equations
Chapter Five - Numerical solution of Partial Differential Equations
Chapter Six - Process Optimization
Chapter Seven - Parameter Estimation
Each chapter is arranged in four major parts. In the first part, the basic problem patterns that can be solved with MATLAB are presented. The second part describes how to apply MATLAB commands to solve the formulated problems in the field of chemical engineering. In the third and the fourth parts, exercises and summary of MATLAB instructions are provided, respectively. The description of the chemical engineering example follows the sequence of problem formulation, model analysis, MATLAB program design, execution results, and discussion. In this way, learners are first aware of the basic problem patterns and the underlying chemical engineering principles, followed by further familiarizing themselves with the relevant MATLAB instructions and programming skills. Readers are encouraged to do exercises to practice their problem-solving skills and deepen the fundamental knowledge of chemical engineering and relevant application problems.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
[E-book at Google Play Books] Exercises Solution Manual for MATLAB Applicatio...Chyi-Tsong Chen
This self-study solution manual in accompany with the book "MATLAB Applications in Chemical Engineering" is designed to provide readers with the key points of solving exercise problems at the end of each chapter, which therefore instructively guides readers to familiarize themselves with the related MATLAB commands and programming methods for various types of problems. Additionally, through the assistance of this solution manual, the readers would profoundly strengthen the logical abilities, problem-solving skills, and deepen the applications of MATLAB programming language to solve analysis, design, simulation and optimization problems arose in related fields of chemical engineering.
The preparation of this manual is not for directly providing solutions, but through key guidance, overview and analysis, and instructional solution-steps, to gradually cultivate readers' problem-solving skills.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
[E-book at Google Play Books] Exercises Solution Manual for MATLAB Applicatio...Chyi-Tsong Chen
This self-study solution manual in accompany with the book "MATLAB Applications in Chemical Engineering" is designed to provide readers with the key points of solving exercise problems at the end of each chapter, which therefore instructively guides readers to familiarize themselves with the related MATLAB commands and programming methods for various types of problems. Additionally, through the assistance of this solution manual, the readers would profoundly strengthen the logical abilities, problem-solving skills, and deepen the applications of MATLAB programming language to solve analysis, design, simulation and optimization problems arose in related fields of chemical engineering.
The preparation of this manual is not for directly providing solutions, but through key guidance, overview and analysis, and instructional solution-steps, to gradually cultivate readers' problem-solving skills.
Ch 07 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 7 of the book entitled "MATLAB Applications in Chemical Engineering": Parameter Estimation. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 06 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 6 of the book entitled "MATLAB Applications in Chemical Engineering": Process Optimization. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 05 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 5 of the book entitled "MATLAB Applications in Chemical Engineering": Numerical Solution of Partial Differential Equations. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 04 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 3 of the book entitled "MATLAB Applications in Chemical Engineering": Numerical Solution of Ordinary Differential Equations. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 03 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 3 of the book entitled "MATLAB Applications in Chemical Engineering": Interpolation, Differentiation, and Integration. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 02 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 2 of the book entitled "MATLAB Applications in Chemical Engineering": Solution of Nonlinear Equations.
Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Ch 01 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片Chyi-Tsong Chen
The slides of Chapter 1 of the book entitled "MATALB Applications in Chemical Engineering": Solution of a System of Linear Equations. Author: Prof. Chyi-Tsong Chen (陳奇中 教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
[E-book at Google Play Books] MATLAB Applications in Chemical Engineering (2022 Revised Edition).pdf
1.
2. Author Biography
Current Position: Vice President, National Quemoy
University, Taiwan (Aug. 2014 - )
Education: Ph.D. in Chemical Engineering, National
Cheng Kung University, Taiwan (May 1990)
Experiences:
Vice President, National Quemoy University, Taiwan
(Aug. 2014 - )
Life-long Distinguished Professor, National Quemoy Univeristy, Taiwan (Aug. 2021-)
Distinguished Professor, National Quemoy Univeristy, Taiwan (Aug. 2017- July 2021 )
Professor of the Center for General Education, National Quemoy Univeristy, Taiwan (Aug. 2014- )
Visiting Scholar at the Massachusetts Institute of Technology (MIT), USA (Aug. 2010-July 2011)
Dean of the FCU Extension, Feng Chia University, Taiwan (Aug. 2007-July 2009)
Dean of the College of Continuing Eduation, Feng Chia University, Taiwan (Aug. 2005-July 2007)
Associate Dean of the College of Engineering, Feng Chia University, Taiwan (Aug. 2003-July 2005)
Chairman of the Chemical Engineering Department, Feng Chia University, Taiwan (Aug. 2001-July
2003)
Visiting Professor at the University of California, Santa Barbara, USA (Jan. 2000-Aug. 2000)
Professor of the Chemical Engineering Department, Feng Chia University, Taiwan (Aug. 1997-July
2014)
Associate Professor of the Chemical Engineering Department, Feng Chia University, Taiwan (Aug.
1992-July 1997)
Honors:
Teaching Excellence Award granted by National Quemoy Univeristy, Taiwan (2017)
Associate Editor of the Journal of the Taiwan Institute of Chemical Engineers (2012-2015)
Chairman of the Accreditation Group, Institute of Engineering Education Taiwan (2006-2014)
Teaching Excellence Award granted by Feng Chia University, Taiwan (2006)
Honorary member of the Phil Tau Phil Academic Society, Taiwan (1998)
A–Level Research Awards from the National Science Council of Taiwan (1997-2000)
Research fields:
Process control
Process design, simulation and optimization
Artificial intelligent technologies and applications
Publications:
Over 150 refereed journal and conference papers
Over 20 technical reports
Author of 4 books about the applications of MATLAB in reltated engineering fields.
Chen, Chyi-Tsong 陳奇中
Scan to download
MATLAB programs of this book.
3. v
Table of Contents
Chapter 1: Solution of a System of Linear Equations .......................... 1
1.1 Properties of linear equation systems and the relevant
MATLAB commands ............................................................................. 1
1.1.1 A simple example: the liquid blending problem ..................................... 1
1.1.2 Relevant properties of linear equation systems ....................................... 3
1.1.3 Relevant MATLAB commands .............................................................. 5
1.2 Chemical engineering examples .......................................................... 10
Example 1-2-1 Composition analysis of a distillation column system .................... 10
Example 1-2-2 Temperature analysis of an insulated stainless steel pipeline ......... 14
Example 1-2-3 Composition analysis of a set of CSTRs ........................................ 18
Example 1-2-4 Independent reactions in a reaction system .................................... 21
Example 1-2-5 Composition distributions in a distillation column ......................... 24
Example 1-2-6 Steady-state analysis of a batch reaction system ............................ 36
1.3 Exercises ................................................................................................ 43
1.4 Summary of the MATLAB commands related to this chapter ......... 48
Chapter 2: Solution of Nonlinear Equations .................................... 51
2.1 Relevant MATLAB commands and the Simulink solution interface 51
2.1.1 Nonlinear equation of a single variable ................................................ 51
2.1.2 Solution of a system of nonlinear equations ......................................... 61
2.2 Chemical engineering examples .......................................................... 70
Example 2-2-1 Boiling point of an ideal solution ................................................... 70
Example 2-2-2 Equilibrium concentrations in a reaction system ..............................74
Example 2-2-3 Analysis of a pipeline network ....................................................... 78
Example 2-2-4 A drying process through heat conduction and forced convection 82
Example 2-2-5 Simulation of a multistage binary distillation ................................. 86
Example 2-2-6 Analysis of a set of three CSTRs in series .................................... 100
2.3 Exercises .............................................................................................. 103
2.4 Summary of MATLAB commands related to this chapter ............. 122
Chapter 3: Interpolation, Differentiation, and Integration .............. 125
3.1 Interpolation commands in MATLAB .............................................. 125
3.1.1 One-dimensional interpolation ........................................................... 125
3.1.2 Two-dimensional interpolation ........................................................... 129
4. vi | MATLAB® Applications in Chemical Engineering
3.2 Numerical differentiation ................................................................... 131
3.2.1 The application of the MATLAB diff command in numerical
differentiation ................................................................................... 132
3.2.2 Polynomial fitting and its application to the calculation of
derivatives of a data set ....................................................................... 134
3.2.3 Higher-order derivatives of a data set ................................................. 135
3.2.4 The derivatives calculation of a known function ................................ 146
3.2.5 A method for calculating numerical gradients .................................... 151
3.3 Numerical integration ........................................................................ 153
3.3.1 Integral of numerical data ................................................................... 153
3.3.2 Integral of a known function ............................................................... 154
3.3.3 Double integral ................................................................................... 156
3.4 Chemical engineering examples ........................................................ 157
Example 3-4-1 Preparation of a water solution with a required viscosity .......... 157
Example 3-4-2 Interpolation of diffusivity coefficients ..................................... 159
Example 3-4-3 Reaction rate equation of a batch reactor ................................... 161
Example 3-4-4 Volume fraction of solid particles in a gas-solid fluidized bed .. 167
Example 3-4-5 Average residence time calculation based on a tracer response . 170
Example 3-4-6 Design of an absorption tower ................................................... 173
Example 3-4-7 Reaction time of an adiabatic batch reactor ............................... 176
Example 3-4-8 Breakthrough time determination for an absorption tower ........ 179
3.5 Exercises .............................................................................................. 183
3.6 Summary of the MATLAB commands related to this chapter ....... 195
Chapter 4: Numerical Solution of Ordinary Differential Equations 197
4.1 Initial value problems for ordinary differential equations ............. 197
4.1.1 The standard problems ........................................................................ 197
4.1.2 The MATLAB ODE solvers ............................................................... 198
4.1.3 Solving ODEs with MATLAB Simulink ............................................ 205
4.1.4 The DEE solution interface ................................................................. 218
4.2 Higher-order ordinary differential equations .................................. 222
4.3 Stiff differential equations ................................................................. 227
4.4 Differential-algebraic equation system ............................................. 232
4.5 Boundary-valued ordinary differential equations ........................... 236
4.5.1 Problem patterns ................................................................................. 236
4.5.2 MATLAB commands for solving two-point boundary value problems 238
4.5.3 Multipoint BVP ................................................................................... 248
4.6 Chemical engineering examples ........................................................ 254
Example 4-6-1 Temperature and conversion distributions in a catalyzed tubular
5. Table of Contents | vii
reactor ....................................................................................... 254
Example 4-6-2 Temperature and conversion distribution in a plug-flow reactor . 260
Example 4-6-3 Biochemical process dynamics in a batch reactor ........................ 265
Example 4-6-4 Temperature distribution on a flat panel with heat conduction and
radiation ...................................................................................... 268
Example 4-6-5 Flow dynamics of a non-Newtonian fluid .................................. 271
Example 4-6-6 Optimal operation temperature for penicillin fermentation ....... 277
4.7 Exercises .............................................................................................. 285
4.8 Summary of the MATLAB commands related to this chapter ....... 308
Chapter 5: Numerical Solution of Partial Differential Equations . 311
5.1 Classifications of PDEs......................................................................... 311
5.1.1 The order of a PDE ............................................................................. 311
5.1.2 Nonlinearity of a PDE ........................................................................ 312
5.1.3 Categories of initial conditions and boundary conditions ................... 313
5.2 The MATLAB PDE toolbox ............................................................... 316
5.2.1 The MATLAB PDE solver ................................................................. 316
5.2.2 The PDE graphical interface toolbox .................................................. 331
5.2.2.1 The solvable PDE problem patterns ......................................................... 333
5.2.2.2 Solution of PDE problems with the pdetool interface .............................. 335
5.3 Chemical engineering examples ........................................................ 341
Example 5-3-1 Temperature and reaction rate distributions in a catalyzed reactor 341
Example 5-3-2 Concentration distribution in a diffusive reaction system .......... 350
Example 5-3-3 Rapid cooling of a hot solid object ............................................ 358
Example 5-3-4 Two-dimensional heat transfer ................................................... 362
Example 5-3-5 The permeation of gaseous solute into a liquid film .................. 373
Example 5-3-6 Concentration distribution of ethanol in a tube .......................... 378
Example 5-3-7 Heat conduction of a long rod .................................................... 380
Example 5-3-8 Unsteady-state heat conduction in a flat panel ........................... 384
5.4 Exercises .............................................................................................. 388
5.5 Summary of the MATLAB commands related to this chapter ....... 397
Chapter 6: Process Optimization ..................................................... 399
6.1 The optimization problem and the relevant MATLAB commands 399
6.1.1 Optimization problems of a single decision variable .......................... 399
6.1.2 Multivariate optimization problems without constraints .................... 401
6.1.3 Linear programming problems ........................................................... 404
6.1.4 Quadratic programming problem ........................................................ 406
6. viii | MATLAB® Applications in Chemical Engineering
6.1.5 The constrained nonlinear optimization problems .............................. 409
6.1.6 The multi-objective goal attainment problem ..................................... 413
6.1.7 Semi-infinitely constrained optimization problem ............................. 418
6.1.8 The minimax problem ......................................................................... 426
6.1.9 Binary integer programming problem ................................................ 430
6.1.10 A real-coded genetic algorithm for optimization ................................ 432
6.1.10.1 Fundamental principles of the real-coded genetic algorithm ................... 432
6.1.10.2 Application of the RCGA algorithm to solve optimization problems ........ 436
6.2 Chemical engineering examples ........................................................ 448
Example 6-2-1 Maximizing the profit of a production system ........................... 448
Example 6-2-2 The optimal photoresist film thickness in a wafer
production process ....................................................................... 452
Example 6-2-3 Minimal energy of a chemical equilibrium system .................... 453
Example 6-2-4 Maximal profit of an alkylation process .................................... 456
Example 6-2-5 Maximum separation efficiency in a single-effect distillatory ... 463
Example 6-2-6 Dynamic optimization of an ammonia synthesis process .......... 467
Example 6-2-7 Optimal operating temperature for a tubular reactor .................. 474
6.3 Exercises .............................................................................................. 481
6.4 Summary of the MATLAB commands related to this chapter ....... 501
Chapter 7: Parameter Estimation ................................................... 503
7.1 Parameter estimation using the least-squares method .................... 503
7.1.1 Linear least-squares method ............................................................... 503
7.1.2 Nonlinear least-squares methods ........................................................ 510
7.1.3 The confidence interval of parameter estimation ................................ 514
7.2 Chemical engineering examples ........................................................ 517
Example 7-2-1 The solubility model of sulfur dioxide .........................................517
Example 7-2-2 The rate equation of a catalyzed reaction system ....................... 520
Example 7-2-3 Isothermal adsorption model for activated carbon ..................... 524
Example 7-2-4 Transfer function of a heating process ....................................... 527
Example 7-2-5 Estimation of the reaction rate constants for a fermentation process 530
Example 7-2-6 Parameter estimation for a packed bed reactor described
by a partial differential equation model ....................................... 536
Example 7-2-7 Parameter estimation using D-optimal experimental design method
....................................................................................................... 545
7.3 Exercises .............................................................................................. 549
7.4 Summary of the MATLAB commands related to this chapter ....... 560
References .......................................................................................... 563
Index ................................................................................................... 569