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Computing Manufacturing in Digital Manufacturing Science

  • Wuhan University of Technology
  • The University of Auckland

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Digital manufacturing concerns systematically researching the manufacturing processes, equipment, technology, organization, management, marketing and control of a series of problems from discrete, systematic, dynamic, non-linear and time-varying viewpoints. The discrete and numeral processes involve a series of basic theory problems, such as how to synthetically consider different kinds of computation problems about manufacturing systems and processes with regard to digitization, how to establish formalization representations, construct effective computation models and propose highly effective computational methods, which is one of the basic theory problems that must be researched and solved in digital manufacturing. Computing manufacturing aims to integrate computational geometry, processing principles, sensor information fusion, network control and maintenance and computational intelligence methods by using the computer to represent, compute, reason and process the manufacturing process and manufacturing system (including geometric representation, computation, optimization and reasoning of manufacturing), to solve feature and geometric modeling, reasoning, control, planning, scheduling and management of complex calculation and analysis in the manufacturing process. Thus, computing manufacturing science is the core of digital manufacturing.

Original languageEnglish
Title of host publicationSpringer Series in Advanced Manufacturing
PublisherSpringer Nature
Pages57-104
Number of pages48
DOIs
StatePublished - 2012
Externally publishedYes

Publication series

NameSpringer Series in Advanced Manufacturing
ISSN (Print)1860-5168
ISSN (Electronic)2196-1735

Keywords

  • Computational Geometry
  • Information Model
  • Manufacturing System
  • Point Cloud
  • Reverse Engineering

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