000 03263nam a22004935i 4500
001 978-0-85729-564-4
003 DE-He213
005 20140220083228.0
007 cr nn 008mamaa
008 111021s2012 xxk| s |||| 0|eng d
020 _a9780857295644
_9978-0-85729-564-4
024 7 _a10.1007/978-0-85729-564-4
_2doi
050 4 _aTJ241
072 7 _aTGXT
_2bicssc
072 7 _aTEC020000
_2bisacsh
082 0 4 _a670
_223
100 1 _aZhou, Zude.
_eauthor.
245 1 0 _aFundamentals of Digital Manufacturing Science
_h[electronic resource] /
_cby Zude Zhou, Shane (Shengquan) Xie, Dejun Chen.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXIV, 366 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
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.
650 0 _aEngineering.
650 0 _aComputer aided design.
650 0 _aMachinery.
650 1 4 _aEngineering.
650 2 4 _aManufacturing, Machines, Tools.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
650 2 4 _aInnovation/Technology Management.
700 1 _aXie, Shane (Shengquan).
_eauthor.
700 1 _aChen, Dejun.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857295637
830 0 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-85729-564-4
912 _aZDB-2-ENG
999 _c100263
_d100263