Design of Experiments 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 ...

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Author: Zivorad R. Lazic

Publisher: John Wiley & Sons

ISBN: 9783527604593

Category: Science

Page: 620

View: 135

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.

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

[20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] Lazić Ž, Design of Experiments in Chemical Engineering. Weinheim: Wiley-VCH Verlag GmbH&Co.; 2004. p. 610. ISBN 3-527-31142-4 Box GEP, Wilson KB.

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Author: Valter Silva

Publisher: BoD – Books on Demand

ISBN: 9789535138778

Category: Mathematics

Page: 180

View: 842

Optimized operating conditions for complex systems can be attained by using advanced combinations of numerical and statistical methodologies. One of the most efficient and straightforward solutions relies on the application of statistical methods with an emphasis on the design of experiments (DoEs). Throughout the book, the design and analysis of experiments are conducted involving several approaches, namely, Taguchi, response surface methods, statistical correlations, or even fractional factorial and model-based evolutionary operation designs. This book not only presents a theoretical overview about the different approaches but also contains material that covers the use of the experimental analysis applied to several chemical processes. Some chapters highlight the use of software products to assist experimenters in both the design and analysis stages. It helps graduate students, teachers, researchers, and other professionals who are interested in chemical process optimization and also provides a good basis of theoretical knowledge and valuable insights into the technical details of these tools as well as explains common pitfalls to avoid. The world's leading pharmaceutical companies and local governments are trying to achieve their eradication.

Chemical Engineering

Physical and chemical properties are examples of such non-process parameters. Typical stages of the parameter estimation ... 2.1.11 Experimental Design Experimental design (also called “optimal design of experiments” or “experimental ...

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Author: Tanase Gh. Dobre

Publisher: John Wiley & Sons

ISBN: 9783527306077

Category: Science

Page: 568

View: 487

A description of the use of computer aided modeling and simulation in the development, integration and optimization of industrial processes. The two authors elucidate the entire procedure step-by-step, from basic mathematical modeling to result interpretation and full-scale process performance analysis. They further demonstrate similitude comparisons of experimental results from different systems as a tool for broadening the applicability of the calculation methods. Throughout, the book adopts a very practical approach, addressing actual problems and projects likely to be encountered by the reader, as well as fundamentals and solution strategies for complex problems. It is thus equally useful for student and professional engineers and chemists involved in industrial process and production plant design, construction or upgrading.

Evolvable Designs of Experiments

... Kempthorne, O. Design and Analysis of Experiments Volume 2: Advanced Experimental Design 2005 ISBN: 978-0-471-55177-5 Lazic, Z. R. Design of Experiments in Chemical Engineering A Practical Guide 2004 ISBN: 978-3-527-31142-2 Mason, ...

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Author: Octavian Iordache

Publisher: John Wiley & Sons

ISBN: 9783527624034

Category: Technology & Engineering

Page: 230

View: 473

Adopting a groundbreaking approach, the highly regarded author shows how to design methods for planning increasingly complex experiments. He begins with a brief introduction to standard quality methods and the technology in standard electric circuits. The book then gives numerous examples of how to apply the proposed methodology in a series of real-life case studies. Although these case studies are taken from the printed circuit board industry, the methods are equally applicable to other fields of engineering.

Reactive Flows Diffusion and Transport

The paper presents new effective algorithms for robust parameter estimation and design of robust optimal experiments in dynamic systems. Numerical results for a real-life application from bio-chemical engineering are presented.

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Author: Willi Jäger

Publisher: Springer Science & Business Media

ISBN: 9783540283966

Category: Mathematics

Page: 676

View: 555

The articles in this volume summarize the research results obtained in the former SFB 359 "Reactive Flow, Diffusion and Transport" which has been supported by the DFG over the period 1993-2004. The main subjects are physical-chemical processes sharing the difficulty of interacting diffusion, transport and reaction which cannot be considered separately. The modeling and simulation within this book is accompanied by experiments.

Experimental Methods and Instrumentation for Chemical Engineers

Experimental Methods and Instrumentation for Chemical Engineers, Second Edition, touches many aspects of engineering practice, research, and statistics. The principles of unit operations, transport phenomena, and plant design constitute ...

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Author: Gregory S. Patience

Publisher: Elsevier

ISBN: 9780444637925

Category: Technology & Engineering

Page: 424

View: 424

Experimental Methods and Instrumentation for Chemical Engineers, Second Edition, touches many aspects of engineering practice, research, and statistics. The principles of unit operations, transport phenomena, and plant design constitute the focus of chemical engineering in the latter years of the curricula. Experimental methods and instrumentation is the precursor to these subjects. This resource integrates these concepts with statistics and uncertainty analysis to define what is necessary to measure and to control, how precisely and how often. The completely updated second edition is divided into several themes related to data: metrology, notions of statistics, and design of experiments. 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. It continues with chapters that describe how to measure gas and liquid concentrations, how to characterize solids, and finally a new chapter on spectroscopic techniques such as UV/Vis, IR, XRD, XPS, NMR, and XAS. Throughout the book, the author integrates the concepts of uncertainty, along with a historical context and practical examples. A problem solutions manual is available from the author upon request. Includes the basics for 1st and 2nd year chemical engineers, providing a foundation for unit operations and transport phenomena Features many practical examples Offers exercises for students at the end of each chapter Includes up-to-date detailed drawings and photos of equipment

Interpolation and Regression Models for the Chemical Engineer

Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems Guido Buzzi-Ferraris and ... Atkinson, A.C. and Fedorov, V.V. (1975a) The design of experiments for discriminating between two rival models.

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Author: Guido Buzzi-Ferraris

Publisher: John Wiley & Sons

ISBN: 9783527326525

Category: Computers

Page: 442

View: 864

Engineers and other applied scientists are frequently faced with models of complex systems for which no rigorous mathematical solution can be calculated. Numerical approximations are thus frequently used to predict the behavior of such systems, either based on real-life measurements or on the behavior of simpler models. An engineer's companion for using numerical methods for the solution of complex mathematical problems. It explains the theory behind current numerical methods and shows how to use them in a step-by-step fashion, focusing on interpolation and regression models. The methods and examples are taken from a wide range of scientific and engineering fields, including chemical and electrical engineering, physics, medicine, and environmental science. The material is based on several courses for scientists and engineers taught by the authors, and all the exercises and problems are classroom-tested. The software needed is available by way of a freely accessible program library at the University of Milan that provides up-to-date software tools for all the methods described in the book.

Design of Experiments for Engineers and Scientists

Interactions: cake making/six process variable experiment, 23–5 calculating two order effect, 20–1 chemical engineering/three process variable experiment, 25–6 factorial variance, 18–19 optimization problems, 17 plot, 35 significance, ...

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Author: Jiju Antony

Publisher: Elsevier

ISBN: 9780080469959

Category: Technology & Engineering

Page: 190

View: 391

The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma. Key features: * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods – reducing time taken to design and develop prototypes, reducing time to reach the market * Case studies place DOE techniques in the context of different industry sectors * An excellent resource for the Six Sigma training program This book will be useful to engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs. * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and conduct tests * Case studies place DOE techniques in the context of different industry sectors

Issues in Chemical Engineering and other Chemistry Specialties 2011 Edition

Federal University, Porto Alegre: STATISTICAL DESIGN OF EXPERIMENTS FOR OPTIMIZATION OF BATCH ADSORPTION CONDITIONS FOR ... The publisher of the journal Chemical Engineering Communications can be contacted at: Taylor & Francis Inc., ...

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Author:

Publisher: ScholarlyEditions

ISBN: 9781464963551

Category: Technology & Engineering

Page: 2996

View: 186

Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Chemical Engineering and other Chemistry Specialties. The editors have built Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Chemical Engineering and other Chemistry Specialties in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Optimal Experimental Design for Chemical Engineers

This book guides the reader through statistical tools and methods for building mechanistic mathematical models in chemical engineering using design of experiment techniques.

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Author: Federico Galvanin

Publisher:

ISBN: 1788010876

Category: Technology & Engineering

Page: 450

View: 834

Mechanistic mathematical models are an essential tool for the study, simulation and optimisation of processes in chemical engineering, allowing for a quantitative description of observed phenomena through the definition of laws and correlations. Development of these models are often costly and time-consuming, whilst the validation and statistical assessment of the model structure, and the precise estimation of model parameters, may require extensive experimentation. In response, model building procedures have been proposed for developing, improving and validating mechanistic models in more efficient ways by managing and guiding the information obtained from experimental activities. These procedures heavily rely on the use of efficient computational techniques for model identification based on the use of optimal design of experiments techniques. This book guides the reader through statistical tools and methods for building mechanistic mathematical models in chemical engineering using design of experiment techniques. Relevant chemical engineering case studies are used throughout the book to provide a practical approach to this complex topic. Ideal for experimenters, who will find useful tips for driving experiments, and modellers who will find useful information on model development, selection and validation, this book is essential for chemical engineers across academia and industry. ment techniques. Relevant chemical engineering case studies are used throughout the book to provide a practical approach to this complex topic. Ideal for experimenters, who will find useful tips for driving experiments, and modellers who will find useful information on model development, selection and validation, this book is essential for chemical engineers across academia and industry.