Fundamentals of Digital Manufacturing Science [electronic resource] / by Zude Zhou, Shane (Shengquan) Xie, Dejun Chen.Material type: TextLanguage: English Series: Springer Series in Advanced Manufacturing: Publisher: London : Springer London, 2012Description: XIV, 366 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780857295644Subject(s): Engineering | Computer aided design | Machinery | Engineering | Manufacturing, Machines, Tools | Computer-Aided Engineering (CAD, CAE) and Design | Innovation/Technology ManagementAdditional physical formats: Printed edition:: No titleDDC classification: 670 LOC classification: TJ241Online resources: Click here to access online
1. 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.
The 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.