Process Dynamics, Modeling, and Control (Topics in Chemical Engineering)

Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) Review

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Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) Feature

This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.
The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.

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The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis

The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis Review

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The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis Feature

With the uncertainly of measurement results drawing the attention of managers, metrologists, and customers, this comprehensive guide works to show the importance of metrology while explaining the science of the uncertainty of measurements. Kimothi shows how the accuracy of measurements affects all of us in trade, commerce, safety, health care, environmental protection, and more. External and internal customers, along with regulatory agencies, often prescribe measurement accuracy requirements. This book helps to sort out the current issues surrounding measurement reliability. Kimothi's explanations make it easier for organizations to understand the concerns of measurement uncertainty in decision-making.

Newcomers to metrology will find Kimothi's explanations easy to follow because this book starts off with a comprehensive introduction to the basic principles of reliable measurements. As the text progresses, these basic principles provide a foundation for more and more advanced aspects of measurement uncertainty. The book describes: the need for measurement certainty, techniques to achieve results, and standards in measurement. This comprehensive range of information makes this an ideal desk reference for metrology students and statistical quality enthusiasts. Kimothi includes information about current events regarding reliable measurements and how the uncertainty of measurements affects trade, Six Sigma, and more.

Topics covered include:
· Guide to the Expression of Uncertainty in Measurement (GUM) approach
· A complete chapter on calibration and measurement traceability
· Statistical techniques in metrology
· Examples of measurement data and random variables
· Probability density functions
· Sampling distribution
· Statistical estimation degrees of freedom and regression
· How to evaluate various uncertainties in measurements using several approaches including international consensus
· One chapter is devoted to measurement errors
· Information specific to calibration laboratories
· Examples of R&R studies

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Fortran Programs for Chemical Process Design, Analysis, and Simulation

Fortran Programs for Chemical Process Design, Analysis, and Simulation Review

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Fortran Programs for Chemical Process Design, Analysis, and Simulation Feature

This book gives engineers the fundamental theories, equations, and computer programs (including source codes) that provide a ready way to analyze and solve a wide range of process engineering problems.

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