Language : English
Published : 1996-03-10
Pages : 736
Applied Thermodynamics for Engineering Technologists 5th Edition
Applied Thermodynamics for Engineering Technologists provides a complete introduction to the principles of thermodynamics for degree level students on courses in mechanical, aeronautical, chemical, environmental and energy engineering and engineering science courses.
The fifth edition of this classic text for applied courses has been completely revised and updated to take account of modern teaching methods and perspectives, with the emphasis placed on the application of theory to real processes and plant.
New for this edition is a section on energy recovery, including pinch technology and a discussion of the thinning of the ozone layer due to the use of CFCs. Examples and problems using the refrigerant 134A replace the previous references to CFC R12.
In addition, the discussion of energy sources, their uses and management, has been expanded and improved and there is now extensive coverage of the combined heat and power section. The material on turbines, compressors, nozzles and propulsion is presented in a more logical sequence but retains important information on the differences between gas and steam turbines. Finally the section on refrigeration gives more prominence to the heat pump and vapour absorption plant.
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About the book. This text provides a complete coverage of the basic principles of heat transfer and a broad range of applications. Heat and Mass Transfer: Fundamentals and Applications by Yunus Cengel and Afshin Ghajar provide the perfect blend of fundamentals and applications. The text provides a highly intuitive and practical understanding of the material by emphasizing the physics and the underlying physical phenomena involved. This text covers the standard topics of heat transfer with an emphasis on physics and real-world every day applications, while de-emphasizing the intimidating mathematical aspects. This approach is designed to take advantage of students’ intuition, making the learning process easier and more engaging. This text includes: more than 1,000 illustrations with a sensational visual appeal that highlight its key learning features; and, approximately 2,000 homework problems in design, computer, essay, and laboratory-type problems.
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 concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout. Available with InfoTrac Student Collections http://gocengage.com/infotrac.
About the Author
Jay Devore earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. He previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, Jay served as Chair of the Statistics Department at California Polytechnic State University, San Luis Obispo, which has an international reputation for activities in statistics education. In addition to this book, Jay has written several widely used engineering statistics texts and a book in applied mathematical statistics. He is currently collaborating on a business statistics text, and also serves as an Associate Editor for Reviews for several statistics journals. He is the recipient of a distinguished teaching award from Cal Poly and is a Fellow of the American Statistical Association. In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, the executive director of a nonprofit organization in New York City, and his daughter Teresa, an ESL teacher in New York City.
Nicholas Farnum received his B.S. and Ph.D. in Mathematics from University of California at Irvine. He is currently a professor in the Information Systems and Decision Sciences Department at California State University, Fullerton. Professor Farnum has published several papers in applied and theoretical statistics and has also written texts in Quality Control and Forecasting. He is a member of the American Statistical Association and the Mathematical Association of America. In his spare time Professor Farnum enjoys cooking, playing music, and traveling.
Jimmy Doi earned his B.A. in Mathematics (minors in Biology, Chemistry, Japanese) from California State University, Northridge. He earned his masters and Ph.D. in Statistics at North Carolina State University. Since receiving his doctorate Professor Doi has been on the faculty in the Statistics Department at California Polytechnic State University, San Luis Obispo. His research interests include biostatistics and categorical data analysis. He enjoys traveling, kayak fishing, long board surfing, and playing basketball with his current and former students. But his favorite moments are when he spends time with his wife Midori and daughter Alicia.