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007 cr nn 008mamaa
008 150903s2012 xxk| o |||| 0|eng d
020 _a9780857295644
_99780857295644
024 7 _a10.1007/9780857295644
_2doi
035 _avtls000333922
039 9 _a201509030753
_bVLOAD
_c201404130559
_dVLOAD
_c201404092348
_dVLOAD
_y201402041135
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTJ241
100 1 _aZhou, Zude.
_eautor
_9305624
245 1 0 _aFundamentals of Digital Manufacturing Science /
_cby Zude Zhou, Shane (Shengquan) Xie, Dejun Chen.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _axiv, 366 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
500 _aSpringer eBooks
505 0 _a1. Introduction -- 2. Theory System of Digital Manufacturing Science -- 3. Computing Manufacturing in Digital Manufacturing Science -- 4.  Manufacturing Informatics in Digital Manufacturing Science -- 5. Intelligent Manufacturing in Digital Manufacturing Science -- 6. Science of Bionic Manufacturing in Digital Manufacturing Science -- 7. Management of Technology in Digital Manufacturing Science -- 8. Key Technology of Digital Manufacturing Science -- 9. Future Development of Digital Manufacturing Science.
520 _aThe manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aXie, Shane (Shengquan).
_eautor
_9305625
700 1 _aChen, Dejun.
_eautor
_9305626
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780857295637
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-564-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c280592
_d280592