Fluid Mechanics 3rd Edition in SI Units
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A classic in its field, Air Conditioning Principles and Systems continues to fill the need for a text book on air conditioning systems that combines design principles with real-world applications. Readers will gain insight into the design, operation, and troubleshooting of new and existing air conditioning systems. Moreover, this edition has been updated to reflect recent developments and issues in the industry, including the increasing use of the Internet in the field. Key features of this edition: New weather data for outside temperature analysis and system design. Expanded information on environmental problems to help readers stay current on issues and regulations. New information about asbestos, including answers about mitigation of harmful effects. Further exploration on scroll compression and how it works in real-world applications.
About the Author
Edward G. Pita is Professor Emeritus and Adjunct Professor in the Environmental Control Technology Department at New York City Technical College of the City University of New York. He received a B.S. degree from Purdue University, an M.S. degree from Columbia University, and a Ph.D. degree from the University of Maryland, all in mechanical engineering. He is a member of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) and is a registered professional engineer. In addition to his career as an educator, Dr. Pita was chief mechanical engineer for a large consulting engineering firm responsible for HVAC projects for the United Nations, the State City of the Vatican, the U.S. Capitol, and many other governmental and private clients. He has also worked in applications and systems engineering for the Carrier Corporation and the Worthington Corporation.
“Principles of Statistics for Engineers and Scientists” offers the same crystal clear presentation of applied statistics as Bill Navidi’s “Statistics for Engineers and Scientists” text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
About the Author
William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
Shigley’s Mechanical Engineering Design is intended for students beginning the study of mechanical engineering design. Students will find that the text inherently directs them into familiarity with both the basics of design decisions and the standards of industrial components. It combines the straightforward focus on fundamentals that instructors have come to expect, with a modern emphasis on design and new applications. The tenth edition maintains the well-designed approach that has made this book the standard in machine design for nearly 50 years. Specific statistical material pertinent to the 10th edition was retained and integrated within the sections that utilize statistics. A few examples are: The mathematical relationship between the design factor and reliability is covered in the first chapter of Introduction to Mechanical Design where the design factor and reliability are defined and discussed. In Sec. 2-2, The Statistical Significance of Material Properties, is totally self-contained. The statistical Weibull distribution is necessary in the chapter on Rolling-Contact Bearings and is completely contained within this chapter.
About the Author
RICHARD G. BUDYNAS is Professor Emeritus of the Kate Gleason College of Engineering at Rochester Institute of Technology. He has more than 50 years experience in teaching and practicing mechanical engineering design. He is the author of a McGraw-Hill textbook, Advanced Strength and Applied Stress Analysis, Second Edition; and coauthor of a McGraw-Hill reference book, Roark’s Formulas for Stress and Strain, Eighth Edition. He was awarded the BME of Union College, MSME of the University of Rochester, and the PhD of the University of Massachusetts. He is a licensed Professional Engineer in the state of New York. J. KEITH NISBETT is an Associate Professor and Associate Chair of Mechanical Engineering at the Missouri University of Science and Technology. He has more than 30 years of experience with using and teaching from this classic textbook. As demonstrated by a steady stream of teaching awards, including the Governor’s Award for Teaching Excellence, he is devoted to finding ways of communicating concepts to the students. He was awarded the BS, MS, and PhD of the University of Texas at Arlington.
This text book on Hydraulic Machines provides an in-depth coverage of the descriptions, characteristics, underlying principles of working and applications of hydraulic machines. An attempt is made in the book to indicate present trends in practice and analysis in hydraulic turbines and pumps. Applications of various Hydraulic Machines are highlighted.