Manufacturing feature recognition toward integration with process planning

Jung Hyun Han; Inho Han; Eunseok Lee; Juneho Yi

doi:10.1109/3477.931522

Manufacturing feature recognition toward integration with process planning

Jung Hyun Han, Inho Han, Eunseok Lee, Juneho Yi

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

Process planning plays a key role by linking CAD and CAM. Its front-end is feature recognition, but feature recognition research has not been in accord with the requirements of process planning. This paper presents an effort for integrating the two activities: feature-based machining sequence generation primarily based on tool capabilities. The system recognizes only manufacturable features by consulting the tool database, and simultaneously constructs dependencies among the features. Then, the A* algorithm is used to search for an optimal machining sequence by the aid of the feature dependencies and a manufacturing cost function.

Original language	English
Pages (from-to)	373-380
Number of pages	8
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	31
Issue number	3
DOIs	https://doi.org/10.1109/3477.931522
Publication status	Published - 2001 Jun
Externally published	Yes

Keywords

Feature recognition
Machining sequence
Process planning

ASJC Scopus subject areas

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/3477.931522

Cite this

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title = "Manufacturing feature recognition toward integration with process planning",

abstract = "Process planning plays a key role by linking CAD and CAM. Its front-end is feature recognition, but feature recognition research has not been in accord with the requirements of process planning. This paper presents an effort for integrating the two activities: feature-based machining sequence generation primarily based on tool capabilities. The system recognizes only manufacturable features by consulting the tool database, and simultaneously constructs dependencies among the features. Then, the A* algorithm is used to search for an optimal machining sequence by the aid of the feature dependencies and a manufacturing cost function.",

keywords = "Feature recognition, Machining sequence, Process planning",

author = "Han, {Jung Hyun} and Inho Han and Eunseok Lee and Juneho Yi",

note = "Funding Information: Manuscript received July 11, 1999; revised January 9, 2001. This work was supported by Grant 1999-2-515-001-5 from the Basic Research Program of the Korea Science and Engineering Foundation. This paper was recommended by Associate Editor Y. Narahari. J. H. Han, E. Lee, and J. Yi are with the School of Electrical and Computer Engineering, Sung Kyun Kwan University, Suwon, Korea (e-mail: han@simsan.skku.ac.kr). I. Han is with Samsung Electronics Corporation, Suwon, Korea. Publisher Item Identifier S 1083-4419(01)05215-3.",

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AU - Han, Jung Hyun

AU - Han, Inho

AU - Lee, Eunseok

AU - Yi, Juneho

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KW - Machining sequence

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Manufacturing feature recognition toward integration with process planning

Abstract

Keywords

ASJC Scopus subject areas

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