Overview
- Provides a clear description of predictive algorithms for process performance
- Provides the necessary information in a manner that enables rapid implementation
- Offers a comprehensive source of the fundamentals of machining dynamics that leads to reduced reliance on handbooks and rules of thumb
- Includes functional MATLAB code for process predictions
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About this book
"Machining dynamics: Frequency response to improved productivity" will train engineers and students in the practical application of machining dynamics, with a particular focus on milling. The book is arranged such that the steps required to improve machining productivity through chatter avoidance and reduced surface location error (forced vibrations resulting in part geometric errors) are clearly evident.
The following topics are covered in detail: modal analysis, including experimental methods, to obtain the tool point frequency response function; descriptions of turning and milling, including force modeling, time domain simulation, stability lobe diagram algorithms, and surface location error calculation for milling; and receptance coupling methods for tool point frequency response prediction, including beam theory. Numerical examples are included, as well as the MATLAB code used to develop the figures.
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Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Machining Dynamics
Book Subtitle: Frequency Response to Improved Productivity
Authors: Tony L. Schmitz, Kevin S. Smith
DOI: https://doi.org/10.1007/978-0-387-09645-2
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Softcover ISBN: 978-1-4614-9938-1Published: 19 August 2014
eBook ISBN: 978-0-387-09645-2Published: 27 November 2008
Edition Number: 1
Number of Pages: XI, 304
Topics: Industrial and Production Engineering, Manufacturing, Machines, Tools, Processes, Vibration, Dynamical Systems, Control, Machinery and Machine Elements