Advertisement

Machining Dynamics

Frequency Response to Improved Productivity

  • Tony L. Schmitz
  • Kevin S. Smith

Table of contents

  1. Front Matter
    Pages I-XI
  2. Tony L. Schmitz, Kevin S. Smith
    Pages 1-6
  3. Tony L. Schmitz, Kevin S. Smith
    Pages 7-57
  4. Tony L. Schmitz, Kevin S. Smith
    Pages 59-98
  5. Tony L. Schmitz, Kevin S. Smith
    Pages 99-171
  6. Tony L. Schmitz, Kevin S. Smith
    Pages 173-198
  7. Tony L. Schmitz, Kevin S. Smith
    Pages 199-234
  8. Tony L. Schmitz, Kevin S. Smith
    Pages 235-287
  9. Back Matter
    Pages 289-303

About this book

Introduction

Machining Dynamics: From 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.

Readers will find:
clear descriptions of predictive algorithms for machining process performance
comprehensive coverage of the fundamentals of machining dynamics
numerous numerical examples
functional MATLAB® code for process predictions.

Machining dynamics: From frequency response to improved productivity will serve as a valuable resource for practicing manufacturing engineers and graduate students interested in learning how to improve machining productivity through consideration of the process dynamics.

Keywords

MATLAB MATLAB code force modeling machining machining dynamics mechanical vibrations modal analysis modeling process predictions simulation stability surface location error tool point frequency response function vibration

Authors and affiliations

  • Tony L. Schmitz
    • 1
  • Kevin S. Smith
    • 2
  1. 1.Mechanical and Aerospace EngineeringUniversity of FloridaGainesville
  2. 2.Mechanical Engineering and Engineering Science Dept.University of North CarolinaCharlotte

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-09645-2
  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-09644-5
  • Online ISBN 978-0-387-09645-2
  • Buy this book on publisher's site