Feature extraction and feature based design approaches in the development of design interface for process planning

Sanjay B. Joshi, Tien Chien Chang

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

The quest for completely automated process planning systems has exposed the lack of techniques capable of automatically understanding the stored CAD models in a manner suitable for process planning. Most current generations of process planning systems have used the ability of humans to translate the part drawing requirements into a form suitable for computer aided process planing. Recently, research advances have been made to improve the understanding of computer stored 3-D part models. The two approaches used are feature recognition and feature based design. This paper presents a state of the art review of feature recognition techniques developed and presents feature based design as an alternative. Process planning systems developed using both approaches are presented.

Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalJournal of Intelligent Manufacturing
Volume1
Issue number1
DOIs
StatePublished - Mar 1 1990

Fingerprint

Process planning
Feature extraction
Computer aided design

All Science Journal Classification (ASJC) codes

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

Cite this

@article{36dbed59fbb2438b8cba0b8aa988cd2c,
title = "Feature extraction and feature based design approaches in the development of design interface for process planning",
abstract = "The quest for completely automated process planning systems has exposed the lack of techniques capable of automatically understanding the stored CAD models in a manner suitable for process planning. Most current generations of process planning systems have used the ability of humans to translate the part drawing requirements into a form suitable for computer aided process planing. Recently, research advances have been made to improve the understanding of computer stored 3-D part models. The two approaches used are feature recognition and feature based design. This paper presents a state of the art review of feature recognition techniques developed and presents feature based design as an alternative. Process planning systems developed using both approaches are presented.",
author = "Joshi, {Sanjay B.} and Chang, {Tien Chien}",
year = "1990",
month = "3",
day = "1",
doi = "10.1007/BF01471338",
language = "English (US)",
volume = "1",
pages = "1--15",
journal = "Journal of Intelligent Manufacturing",
issn = "0956-5515",
publisher = "Springer Netherlands",
number = "1",

}

Feature extraction and feature based design approaches in the development of design interface for process planning. / Joshi, Sanjay B.; Chang, Tien Chien.

In: Journal of Intelligent Manufacturing, Vol. 1, No. 1, 01.03.1990, p. 1-15.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Feature extraction and feature based design approaches in the development of design interface for process planning

AU - Joshi, Sanjay B.

AU - Chang, Tien Chien

PY - 1990/3/1

Y1 - 1990/3/1

N2 - The quest for completely automated process planning systems has exposed the lack of techniques capable of automatically understanding the stored CAD models in a manner suitable for process planning. Most current generations of process planning systems have used the ability of humans to translate the part drawing requirements into a form suitable for computer aided process planing. Recently, research advances have been made to improve the understanding of computer stored 3-D part models. The two approaches used are feature recognition and feature based design. This paper presents a state of the art review of feature recognition techniques developed and presents feature based design as an alternative. Process planning systems developed using both approaches are presented.

AB - The quest for completely automated process planning systems has exposed the lack of techniques capable of automatically understanding the stored CAD models in a manner suitable for process planning. Most current generations of process planning systems have used the ability of humans to translate the part drawing requirements into a form suitable for computer aided process planing. Recently, research advances have been made to improve the understanding of computer stored 3-D part models. The two approaches used are feature recognition and feature based design. This paper presents a state of the art review of feature recognition techniques developed and presents feature based design as an alternative. Process planning systems developed using both approaches are presented.

UR - http://www.scopus.com/inward/record.url?scp=0002304852&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0002304852&partnerID=8YFLogxK

U2 - 10.1007/BF01471338

DO - 10.1007/BF01471338

M3 - Article

VL - 1

SP - 1

EP - 15

JO - Journal of Intelligent Manufacturing

JF - Journal of Intelligent Manufacturing

SN - 0956-5515

IS - 1

ER -