Professional Engineering Reference from C.H.I.P.S.

Design
of Experiments
in Chemical Engineering

A Practical Guide

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.

Contents

1. Introduction to Statistics for Engineers.
• The Simplest Discrete and Continuous Distributions.
• Statistical Inference.
• Statistical Estimation.
• Tests and Estimates on Statistical Variance.
• Analysis of Variance.
• Regression analysis .
• Correlation Analysis.

2. Design and Analysis of Experiments.
• Introduction to Design of Experiments (DOE).
• Preliminary Examination of Subject of Research.
• Screening Experiments.
• Basic Experiment-Mathematical Modeling.
• Statistical Analysis.
• Experimental Optimization of Research Subject.
• Canonical Analysis of the Response surface.
• Examples of Complex Optimizations.

3. Mixture Design “Composition-Property”.
• Screening Design “Composition-Property”.
• Simplex Lattice Design.
• Scheffe Simplex Lattice Design.
• Simplex Centroid Design.
• Extreme Vertices Designs.
• D-optimal Designs.
• Draper-Lawrence Design.
• Factorial Experiments with Mixture.
• Full Factorial Combined with Mixture Design-Crossed Design.

Appendix
Index

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Design of Experiments in Chemical Engineering:
A Practical Guide