<p>Contemporary Chemical Process Engineers face complex design and research problems. Temperature-dependent physical properties and non-Newtonian flow behavior of substances in a process cannot be predicted by numerical mathematics. Scaling-up equipment for processing can often only be done with par
Dimensional Analysis. Practical Guides in Chemical Engineering
β Scribed by Jonathan Worstell (Auth.)
- Publisher
- Butterworth-Heinemann
- Year
- 2014
- Tongue
- English
- Leaves
- 148
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Practical Guides in Chemical Engineering are a cluster of short texts that each provides a focused introductory view on a single subject. The full library spans the main topics in the chemical process industries that engineering professionals require a basic understanding of. They are 'pocket publications' that the professional engineer can easily carry with them or access electronically while working. Each text is highly practical and applied, and presents first principles for engineers who need to get up to speed in a new area fast. The focused facts provided in each guide will help you converse with experts in the field, attempt your own initial troubleshooting, check calculations, and solve rudimentary problems.
Dimensional Analysis provides the foundation for similitude and for up and downscaling. Aeronautical, Civil, and Mechanical Engineering have used Dimensional Analysis profitably for over one hundred years. Chemical Engineering has made limited use of it due to the complexity of chemical processes. However, Chemical Engineering can now employ Dimensional Analysis widely due to the free-for-use matrix calculators now available on the Internet. This book shows how to apply matrices to Dimensional Analysis.
- Practical, short, concise information on the basics will help you get an answer or teach yourself a new topic quickly
- Supported by industry examples to help you solve a real world problem
- Single subject volumes provide key facts for professionals
β¦ Table of Contents
Content:
Front-matter, Pages i,iii
Copyright, Page iv
Dedication, Page v
Chapter 1 - Introduction, Pages 1-14
Chapter 2 - History of Dimensional Analysis, Pages 15-21
Chapter 3 - Dimensions and Systems of Units, Pages 23-37
Chapter 4 - Foundation of Dimensional Analysis, Pages 39-56
Chapter 5 - Mechanical/Physical Examples of Dimensional Analysis, Pages 57-82
Chapter 6 - Thermal Examples of Dimensional Analysis, Pages 83-101
Chapter 7 - Mass Transfer and Reaction Examples of Dimensional Analysis, Pages 103-135
Chapter 8 - Dimensional Analysis and Scaling, Pages 137-145
Chapter 9 - An Assessment of Dimensional Analysis, Pages 147-149
π SIMILAR VOLUMES
<p><i>Scaling Chemical Processes: Practical Guides in Chemical Engineering</i> is one of a series of short texts that each provides a focused introductory view on a single subject. The full library spans the main topics in the chemical process industries for engineering professionals who require a b
<p><i>Practical Guides in Chemical Engineering</i> are a cluster of short texts that each provides a focused introductory view on a single subject. The full library spans the main topics in the chemical process industries that engineering professionals require a basic understanding of. They are βpoc
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 designsmathematical modeling, an
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:<br> * screening designs <br> * mathematic
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