Design of Experiments (DOE) in Chemical Engineering
A Practical Guide
(Sprache: Englisch)
While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental...
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Klappentext zu „Design of Experiments (DOE) in Chemical Engineering “
While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research:* screening designs
* mathematical modeling, and
* optimization.
Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods.
The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process.
With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.
Inhaltsverzeichnis zu „Design of Experiments (DOE) in Chemical Engineering “
PrefaceI INTRODUCTION TO STATISTICS FOR ENGINEERS
Basic Distributions of Discrete and Continual Random Variables
Statistical Inference
Statistical Estimation
Tests and Estimates on Statistical Variance
Analysis of Variance
Regression Analysis
Correlation Analysis
References
II DESIGN AND ANALYSIS OF EXPERIMENTS
Introduction to Design of Experiments-Doe
Preliminary Examination of Subject of Research
Basic Experiment-Mathematical Modeling
Statistical Analysis of Experimental Results
Experimental Optimization of Research Subject
Canonical Analysis of the Response Surface
Examples of Complex Optimizations
References
III MIXTURE DESIGN
Screening Designs
Simplex Lattice Design
Scheffe Simplex Lattice Design
Simplex Centroid Design
Extreme Vertices Design
D-Optimal Design
Draper-Lawrence Design
Full Factorial Mixture Design
Crossed Design-Full Factorial Combined with Mixture Design
Examples of Complex Optimization Mixture Problems
References
IV APPENDIX
Answers to Selected Problems
Tables of Statistical Functions
Autoren-Porträt von Zivorad R. Lazic
Zivorad R. Lazic is Quality Assurance Manager at Lenzing Fibers Corporation, Lowland, Tennessee, USA. Born in Ljubovija, Serbia, he completed his studies at Belgrade University, writing his thesis under the supervision of Prof. Dragoljub Vukovic. He began his career in Belgrade at the Military Technical Institute (VTI), where he was Head of Department for R&D into composite rocket propellants. He was trained at Hercules Inc., McGregor, TX, and spent more than six years as Vice President for Process and Product Development in P.T. South Pacific Viscose, Indonesia from 1994 until 2001.Dr. Lazic's interests include advanced statistical tools, DOE, SPC, EVOP, neural network modeling and the six-sigma approach.
Bibliographische Angaben
- Autor: Zivorad R. Lazic
- 2004, 1. Auflage, X, 610 Seiten, 130 Schwarz-Weiß-Abbildungen, 250 Abbildungen, Maße: 18 x 25 cm, Gebunden, Englisch
- Verlag: Wiley-VCH
- ISBN-10: 3527311424
- ISBN-13: 9783527311422
Sprache:
Englisch
Rezension zu „Design of Experiments (DOE) in Chemical Engineering “
"covers the basic theory of DOE and provides numerous practical examples of its application in the chemical process industries"-- Organic Process Research and Development, January 2005
"... a useful textbook for a graduate-level course in the statistics of experimental design."
-- E-STREAMS
Pressezitat
"covers the basic theory of DOE and provides numerous practical examples of its application in the chemical process industries" Organic Process Research and Development, January 2005
"... a useful textbook for a graduate-level course in the statistics of experimental design."
E-STREAMS
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