Modeling and representation of manufacturing knowledge for DFM systems

Zuozhi Zhao, Jami Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The manufacturing knowledge today spans a vast spectrum, from manufacturing process capability/constraint, precedence, algorithms/heuristics of performing feature recognition, process planning and manufacturing time/cost estimation, to Design for Manufacturing (DfM) tactics and strategies. In this paper, different types of manufacturing knowledge have been identified and the ways to represent and apply them are described. An information model is developed as the backbone to integrate other existing tools into the framework. A computational framework is presented to help the manufacturing knowledge engineers formulize their knowledge and store it into the computer, and help the designers systematically analyze the manufacturability of the design.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Design Engineering Technical Conference
Pages723-733
Number of pages11
Volume4
StatePublished - 2004
Event2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Salt Lake City, UT, United States
Duration: Sep 28 2004Oct 2 2004

Other

Other2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Country/TerritoryUnited States
CitySalt Lake City, UT
Period9/28/0410/2/04

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Modeling and representation of manufacturing knowledge for DFM systems'. Together they form a unique fingerprint.

Cite this