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Provides comprehensive coverage of the fundamentals and machining dynamics with numerous examples
Includes functional MATLAB code for process predictions
Provides clear descriptions of predictive algorithms for machining process performance
Includes supplementary material: sn.pub/extras
Request lecturer material: sn.pub/lecturer-material
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This book trains engineers and students in the practical application of machining dynamics, with a particular focus on milling. The book walks readers through the steps required to improve machining productivity through chatter avoidance and reduced surface location error, and covers in detail topics such as modal analysis (including experimental methods) to obtain the tool point frequency response function, descriptions of turning and milling, force modeling, time domain simulation, stability lobe diagram algorithms, surface location error calculation for milling, beam theory, and more.
This new edition includes updates throughout the entire text, new exercises and examples, and a new chapter on machining tribology. It is a valuable resource for practicing manufacturing engineers and graduate students interested in learning how to improve machining productivity through consideration of the process dynamics.
Authors and Affiliations
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Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, Charlotte, USA
Tony L. Schmitz, K. Scott Smith
About the authors
Tony L. Schmitz is Professor of Mechanical Engineering and Engineering Science at The University of North Carolina at Charlotte.
K. Scott Smith is Professor and Department Chair of Mechanical Engineering and Engineering Science at The University of North Carolina at Charlotte.
Bibliographic Information
Book Title: Machining Dynamics
Book Subtitle: Frequency Response to Improved Productivity
Authors: Tony L. Schmitz, K. Scott Smith
DOI: https://doi.org/10.1007/978-3-319-93707-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-93706-9Published: 09 November 2018
Softcover ISBN: 978-3-030-06708-3Published: 03 January 2019
eBook ISBN: 978-3-319-93707-6Published: 30 October 2018
Edition Number: 2
Number of Pages: X, 382
Number of Illustrations: 123 b/w illustrations, 231 illustrations in colour
Topics: Industrial and Production Engineering, Manufacturing, Machines, Tools, Processes, Vibration, Dynamical Systems, Control, Machinery and Machine Elements