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.
Scanning angle Raman spectroscopy in polymer thin film characterization (No. IS-T 3192). Ames Laboratory. Ames, IA: AMES. doi:10.2172/1409182 Nyquist, R. A. (2001). Interpreting infrared, Raman, and nuclear magnetic resonance spectra.
The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.
This book guides the reader through statistical tools and methods for building mechanistic mathematical models in chemical engineering using design of experiment techniques.
Besides this, the book also covers 22, 23, and 3n factorial experiments; two-stage, three-stage and mixed design with nested factors and factorial factors; different methods of orthogonal array design; and multivariate analysis of variance ...
The book then covers basic principles of sensing devices, with a brand new chapter covering force and mass, followed by pressure, temperature, flow rate, and physico-chemical properties.
Experiment Optimization in Chemistry and Chemical Engineering
Design of experiments (DOE) is a systematic approach for investigating systems and processes. This book presents a new approach - evolvable design - which is a modern way for replacing pre-programmed and fixed problem-solving methods.
Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation.Following in the footsteps of its ...
This book continues where DOE Simplified leaves off in Chapter 8 with an introduction to "Response Surface Methods [RSM] for Optimization.
Experiment Design for Environmental Engineering provides a wide range of practical environmental engineering laboratory experiments for implementation by students in a university laboratory or by practicing professionals in the field, along ...