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130626 ||| eng |
| 020 |
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|a 9780387096452
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| 100 |
1 |
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|a Schmitz, Tony L.
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| 245 |
0 |
0 |
|a Machining Dynamics
|h Elektronische Ressource
|b Frequency Response to Improved Productivity
|c by Tony L. Schmitz, K. Scott Smith
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| 250 |
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|a 1st ed. 2009
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| 260 |
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|a New York, NY
|b Springer US
|c 2009, 2009
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| 300 |
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|a XI, 304 p
|b online resource
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| 505 |
0 |
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|a Modal Analysis -- Turning Dynamics -- Milling Dynamics -- Surface Location Error in Milling -- Special Topics in Milling -- Tool Point Dynamics Prediction
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| 653 |
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|a Machinery and Machine Elements
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| 653 |
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|a Mechanics, Applied
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| 653 |
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|a Industrial engineering
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| 653 |
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|a Machines, Tools, Processes
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| 653 |
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|a Manufactures
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| 653 |
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|a Machinery
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| 653 |
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|a Multibody Systems and Mechanical Vibrations
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| 653 |
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|a Industrial and Production Engineering
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| 653 |
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|a Vibration
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| 653 |
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|a Multibody systems
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| 653 |
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|a Production engineering
|
| 700 |
1 |
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|a Smith, K. Scott
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-0-387-09645-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-0-387-09645-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 670
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| 520 |
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|a 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
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