Manufacturing features extraction and recognition in automated process planning

Jian (John) Dong, Hamid Parsaei, Tim Gornet

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Features are considered the information carriers between design and manufacturing. Manufacturing feature here refers to a certain shape of volumes which is to be removed from the blank to produce the finish part. In this paper, an Overall Removable Volume is generated through the graphically comparing a finish part and a blank. A Removable Surface-based Concave Edge (RM-CV) feature extraction approach is introduced to extract manufacturing features. The recognition of manufacturing features are performed with the programs written in C and CLIPS expert system. The General Manufacturing Feature Information Scheme (GMF-IS) is also designed to maintain the information between the features, blank and finished part. This paper covers part of the research project founded by Naval Ordnance Station.

Original languageEnglish
Pages (from-to)325-328
Number of pages4
JournalComputers and Industrial Engineering
Volume25
Issue number1-4
DOIs
Publication statusPublished - 1993
Externally publishedYes

Fingerprint

Feature Recognition
Process Planning
Process planning
Feature Extraction
Feature extraction
Manufacturing
Ordnance
Expert System
Expert systems
Cover

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

Manufacturing features extraction and recognition in automated process planning. / Dong, Jian (John); Parsaei, Hamid; Gornet, Tim.

In: Computers and Industrial Engineering, Vol. 25, No. 1-4, 1993, p. 325-328.

Research output: Contribution to journalArticle

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