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Experimental methods and instrumentation for chemical engineers /

Experimental Methods and Instrumentation for Chemical Engineers is the first practical guide for instrumentation and experimental methods, necessary for chemical engineers - research engineers/students, process engineers (designing and maintaining plants), consultants, etc. This book combines experi...

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Bibliographic Details
Main Authors: Patience, Gregory S.
Corporate Authors: Elsevier Science & Technology.
Published: Elsevier,
Publisher Address: Amsterdam :
Publication Dates: 2013.
Literature type: eBook
Language: English
Edition: First edition.
Subjects:
Chemical engineering > Methodology.
Chemical engineering > Safety measures.
Enginyeria qui mica > Metodologia.
Enginyeria qui mica > Mesures de seguretat.
Electronic books.
Online Access: http://www.sciencedirect.com/science/book/9780444538048
Summary: Experimental Methods and Instrumentation for Chemical Engineers is the first practical guide for instrumentation and experimental methods, necessary for chemical engineers - research engineers/students, process engineers (designing and maintaining plants), consultants, etc. This book combines experimental measurements and instrumentation together with statistics with pertinent examples. Throughout this book, Patience examines all aspects of engineering practice and research. The principles of unit operations, transport phenomena, and plant design form the basis of this discipline. Experimental Methods and Instrumentation for Chemical Engineers integrates these concepts with statistics and uncertainty analysis to define what is absolutely necessary to measure and control how precisely and how often. Experimental Methods and Instrumentation for Chemical Engineers is divided into several themes, including the measurement of pressure, temperature flow rate, physico-chemical properties, gas and liquid concentrations and solids properties. Throughout the book, the concept of uncertainty is discussed in context, and the last chapter is dedicated to designing and experimental plan. The theory around the measurement principles is illustrated with examples. These examples include notions related to plant design as well as cost and safety. Contains extensive diagrams/photos, and other illustrations as well as manufactures equipment and descriptions, with up to date, detailed drawings and photosIncludes exercises at the end of each chapter, enabling the reader to understand the problem by solving real life examples. Broad and breadth coverage of the subject matter. Covers research and plant application and includes the new emerging technologies that are little discussed in other sources.
Carrier Form: 1 online resource (xii, 371 pages) : illustrations (some color)
Bibliography: Includes bibliographical references and index.
ISBN: 9781299461710
1299461719
Index Number: TP155
CLC: TQ016
Contents: Machine generated contents note: 1.1. Overview -- 1.2. Units of Physical Quantities -- 1.3. Writing Conventions -- 1.4. Unit Conversion -- 1.5. Metrology -- 1.6. Industrial Quality Control -- 1.7. Exercises -- References -- 2.1. Overview -- 2.2. Significant Figures -- 2.3. Statistical Notions -- 2.3.1. Normal (Gaussian) Distribution -- 2.3.2. Criterion of Chauvenet -- 2.3.3. Uncertainty (Type B) -- 2.3.4. Confidence Intervals and Uncertainty (Type A) -- 2.3.5. Uncertainty Propagation -- 2.4. Instrumentation Concepts -- 2.4.1. Interval -- 2.4.2. Range -- 2.4.3. Resolution, Sensitivity, Detection Limit, Threshold -- 2.4.4. Precision -- 2.4.5. Error -- 2.4.6. Accuracy -- 2.4.7. Repeatability and Reproducibility -- 2.5. Representing Data Graphically -- 2.5.1. Plotting Pitfalls -- 2.5.2.3D and Contour Graphs -- 2.5.3. Bar Charts -- 2.6. Fast Fourier Transform (FFT) -- 2.7. Exercises -- References -- 3.1. Overview -- 3.2. Data and Experiments -- 3.2.1. Monitoring -- 3.2.2. Qualification -- 3.2.3. Prove-Out -- 3.2.4. Scouting/Process Development -- 3.2.5. Troubleshooting -- 3.3. Data Analysis -- 3.3.1. Hypothesis Testing -- 3.3.2. Statistical Tests -- 3.3.3. Regression Analysis -- 3.3.4. Coefficient of Determination -- 3.3.5. Nonlinear Regression Analysis -- 3.3.6. Data Smoothing -- 3.4. Design of Experiments (DOE) -- 3.4.1. Models -- 3.4.2. Experimental Designs -- 3.4.3. Factorial Designs -- 3.4.4. Response Surface Designs -- 3.5. Exercises -- References -- 4.1. Overview -- 4.2. Units of Pressure -- 4.3. Types of Pressure -- 4.3.1. Atmospheric Pressure -- 4.3.2. Gauge Pressure -- 4.3.3. Differential Pressure -- 4.3.4. Vacuum Pressure -- 4.3.5. Static vs. Dynamic Pressure -- 4.3.6. Barometric Pressure -- 4.4. Pressure Measurement Instrumentation -- 4.4.1. Barometer -- 4.4.2.U-Tube Manometer -- 4.4.3. Bourdon Gauge -- 4.4.4. Diaphragm and Bellows -- 4.4.5. Vacuum -- 4.4.6. Capsule Pressure Gauge -- 4.4.7. McLeod Gauge -- 4.4.8. Pirani Gauge -- 4.5. Process Equipment and S

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