Provides comprehensive coverage of the fundamentals and machining dynamics with numerous examples
Includes functional MATLAB code for process predictions
Provides clear deillegalscriptions of predictive algorithms for machining process performance
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.
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, deillegalscriptions 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.
|
"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; deillegalscriptions 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.
Introduction.- Modal Analysis.- Turning Dynamics.- Milling Dynamics.- Surface Location Error in Milling.- Special Topics in Milling.- Tool Point Dynamics Prediction.- Machining Tribology.
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, deillegalscriptions 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.
This book will train engineers and students in the practical application of machining dynamics, with a particular focus on milling. It provides the necessary information in a manner that enables rapid implementation.
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, deillegalscriptions 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.
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.
Über den Autor
Tony L. Schmitz is Professor of Mechanical Engineering and Engineering Science at The University of North Carolina at Charlotte.
n
K. Scott Smith is Professor and Department Chair of Mechanical Engineering and Engineering Science at The University of North Carolina at Charlotte.
n
n
n
Inhaltsverzeichnis
Introduction.- Modal Analysis.- Turning Dynamics.- Milling Dynamics.- Surface Location Error in Milling.- Special Topics in Milling.- Tool Point Dynamics Prediction.- Machining Tribology.
Klappentext
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, deillegalscriptions 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.
Provides comprehensive coverage of the fundamentals and machining dynamics with numerous examples
rn
Includes functional MATLAB code for process predictions
rn
rn
Provides clear deillegalscriptions of predictive algorithms for machining process performance
rn
rn
rn
