Application of semantic feature and feature transformation in generative process planning

G. Dai; M. M. Yuen

doi:10.1117/12.235556

Application of semantic feature and feature transformation in generative process planning

G. Dai^*, M. M. Yuen

^*Corresponding author for this work

Department of Mechanical and Aerospace Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

Abstract

This paper reports on the development of a concurrent engineering system which covers four application domains in production of mechanical parts, namely design, manufacturing, assembly and inspection. Two approaches are introduced: (1) semantic feature which describes information within each domain separately, and (2) feature transformation which manipulates and derives information across different application domains. Their applications in generative process planning are illustrated in a case study.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	434-446
Number of pages	13
Volume	2644
ISBN (Print)	0819420158, 9780819420152
DOIs	https://doi.org/10.1117/12.235556
Publication status	Published - 1996
Event	Fourth International Conference on Computer-Aided Design and Computer Graphics - Wuhan, China Duration: 23 Oct 1995 → 25 Oct 1995

Conference

Conference	Fourth International Conference on Computer-Aided Design and Computer Graphics
City	Wuhan, China
Period	23/10/95 → 25/10/95

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1117/12.235556

Cite this

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title = "Application of semantic feature and feature transformation in generative process planning",

abstract = "This paper reports on the development of a concurrent engineering system which covers four application domains in production of mechanical parts, namely design, manufacturing, assembly and inspection. Two approaches are introduced: (1) semantic feature which describes information within each domain separately, and (2) feature transformation which manipulates and derives information across different application domains. Their applications in generative process planning are illustrated in a case study.",

author = "G. Dai and Yuen, \{M. M.\}",

year = "1996",

doi = "10.1117/12.235556",

language = "English",

isbn = "0819420158",

volume = "2644",

pages = "434--446",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Society of Photo-Optical Instrumentation Engineers",

note = "Fourth International Conference on Computer-Aided Design and Computer Graphics ; Conference date: 23-10-1995 Through 25-10-1995",

}

Dai, G & Yuen, MM 1996, Application of semantic feature and feature transformation in generative process planning. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 2644, Society of Photo-Optical Instrumentation Engineers, pp. 434-446, Fourth International Conference on Computer-Aided Design and Computer Graphics, Wuhan, China, 23/10/95. https://doi.org/10.1117/12.235556

Application of semantic feature and feature transformation in generative process planning. / Dai, G.; Yuen, M. M.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2644 Society of Photo-Optical Instrumentation Engineers, 1996. p. 434-446.

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

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AU - Dai, G.

AU - Yuen, M. M.

PY - 1996

Y1 - 1996

N2 - This paper reports on the development of a concurrent engineering system which covers four application domains in production of mechanical parts, namely design, manufacturing, assembly and inspection. Two approaches are introduced: (1) semantic feature which describes information within each domain separately, and (2) feature transformation which manipulates and derives information across different application domains. Their applications in generative process planning are illustrated in a case study.

AB - This paper reports on the development of a concurrent engineering system which covers four application domains in production of mechanical parts, namely design, manufacturing, assembly and inspection. Two approaches are introduced: (1) semantic feature which describes information within each domain separately, and (2) feature transformation which manipulates and derives information across different application domains. Their applications in generative process planning are illustrated in a case study.

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U2 - 10.1117/12.235556

DO - 10.1117/12.235556

M3 - Conference Paper published in a book

AN - SCOPUS:0029699276

SN - 0819420158

SN - 9780819420152

VL - 2644

SP - 434

EP - 446

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Society of Photo-Optical Instrumentation Engineers

T2 - Fourth International Conference on Computer-Aided Design and Computer Graphics

Y2 - 23 October 1995 through 25 October 1995

ER -

Application of semantic feature and feature transformation in generative process planning

Abstract

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UN SDGs

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