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020 _a9783319937076
024 7 _a10.1007/978-3-319-93707-6
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTJ1185
_b2019 EB
100 1 _aSchmitz, Tony L.
_eautor
_9670313
245 1 0 _aMachining Dynamics :
_bFrequency Response to Improved Productivity
_cby Tony L. Schmitz, K. Scott Smith
250 _a2nd ed. 2019.
264 1 _aCham
_bSpringer International Publishing ;
_bImprint: Springer
_c2019
300 _a1 recurso en línea (X, 382 páginas)
_b354 ilustraciones, 231 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Modal Analysis -- Turning Dynamics -- Milling Dynamics -- Surface Location Error in Milling -- Special Topics in Milling -- Tool Point Dynamics Prediction -- Machining Tribology.
520 3 _aThis 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.
650 7 _aControl automático
_2embne
_9405125
650 7 _2embne
_aMecanizado
_9666635
700 1 _aSmith, K. Scott
_eautor
_9670312
776 0 8 _iPrinted edition:
_z9783030067083
776 0 8 _iPrinted edition:
_z9783319937069
776 0 8 _iPrinted edition:
_z9783319937083
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-93707-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b08/2019
_eu
_zSI