000			03032nam a22004575i 4500
001			978-0-387-09645-2
003			DE-He213
005			20250710083924.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387096452 _a99780387096452
024	7		_a10.1007/978-0-387-09645-2 _2doi
082	0	4	_a670 _223
100	1		_aSchmitz, Tony L. _eauthor.
245	1	0	_aMachining Dynamics _h[recurso electrónico] : _bFrequency Response to Improved Productivity / _cby Tony L. Schmitz, Kevin S. Smith.
264		1	_aBoston, MA : _bSpringer US, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aModal Analysis -- Turning Dynamics -- Milling Dynamics -- Surface Location Error in Milling -- Special Topics in Milling -- Tool Point Dynamics Prediction.
520			_aMachining 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.
650		0	_aENGINEERING.
650		0	_aVIBRATION.
650		0	_aINDUSTRIAL ENGINEERING.
650		0	_aMACHINERY.
650	1	4	_aENGINEERING.
650	2	4	_aINDUSTRIAL AND PRODUCTION ENGINEERING.
650	2	4	_aMANUFACTURING, MACHINES, TOOLS.
650	2	4	_aVIBRATION, DYNAMICAL SYSTEMS, CONTROL.
650	2	4	_aMACHINERY AND MACHINE ELEMENTS.
700	1		_aSmith, Kevin S. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387096445
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09645-2 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c56004 _d56004