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© 2019

Machining Dynamics

Frequency Response to Improved Productivity

Book

Table of contents

  1. Front Matter
    Pages i-x
  2. Tony L. Schmitz, K. Scott Smith
    Pages 1-6
  3. Tony L. Schmitz, K. Scott Smith
    Pages 7-66
  4. Tony L. Schmitz, K. Scott Smith
    Pages 67-128
  5. Tony L. Schmitz, K. Scott Smith
    Pages 129-212
  6. Tony L. Schmitz, K. Scott Smith
    Pages 213-239
  7. Tony L. Schmitz, K. Scott Smith
    Pages 241-281
  8. Tony L. Schmitz, K. Scott Smith
    Pages 283-343
  9. Tony L. Schmitz, K. Scott Smith
    Pages 345-376
  10. Back Matter
    Pages 377-382

About this book

Introduction

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 to the whole text, new exercises and problems, 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.

Keywords

Chatter and vibrations Digital manufacturing Industry 4.0 Eddy current damper Phase correction with time delay Modulated tool path turning Time domain simulation Chip breaking prediction Stability analysis Stability identification Nonlinear optimization Process damping

Authors and affiliations

  1. 1.Department of Mechanical Engineering and Engineering ScienceUniversity of North Carolina at CharlotteCharlotteUSA
  2. 2.Department of Mechanical Engineering and Engineering ScienceUniversity of North Carolina at CharlotteCharlotteUSA

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.


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