Synopsis
Principles of Industrial Instrumentation and Control Systems is designed to serve as a textbook for a course on Instrumentation and Control Systems for undergraduate students of mechanical engineering and related disciplines. It provides an insight into the instrumentation methods used for measurement of important industrial variables and introduces the readers to the basic concepts of control systems. The book includes comprehensive discussions on the measurement techniques of physical variables such as displacement, time, count, frequency, stress and strain, force, pressure, fluid flow, liquid level, and temperature. Other major variables discussed in the book include moisture, humidity, density, viscosity, torque, power, speed, acceleration and vibration, and sound. Static and dynamic characteristics and error analysis of measurement systems is also covered. Detailed discussion of topics such as basic transducers, signal conditioning, control systems, transfer functions, and stability make the book a complete text for undergraduate students. Written in a student-friendly style, the book presents relevant topics in a systematic and comprehensible manner. A number of solved examples have been included in the text to help students grasp important concepts easily. The end-of-chapter exercises are intended to test the students understanding of the topics discussed and to help them prepare for university as well as competitive examinations.
Key Features
(1)Discusses instrumentation methods of important physical variables in a lucid manner
(2)Incorporates a large number of illustrations for easy and clear understanding of concepts
(3)Includes solved and unsolved problems that aid in grasping important topics
(4)Contains a large number of review problems
About the Author
Chennakesava R. Alavala is currently Professor in the Mechanical Engineering Department at Jawaharlal Nehru Technological University, Hyderabad. He holds a PhD in mechanical engineering and another in CAD/CAM. He is a Governing Body member for several Engineering colleges in Andhra Pradesh and is also an editorial member of Journal of Manufacturing Engineering. He has published as many as 112 technical papers worldwide and has also authored several books. His research interests include fuzzy logic, neural networks, genetic algorithms, finite element method, CAD/CAM, robotics, and characterization of composite materials and manufacturing technologies.
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