CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING

Hyunwoong Ko; Seung Ki Moon; Kevin Otto

doi:10.3850/978-981-09-0446-3_098

CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING

Hyunwoong Ko^*, Seung Ki Moon, Kevin Otto

^*Corresponding author for this work

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The unique technologies of Additive Manufacturing (AM) have enabled new opportunities for product customization by eliminating the conventional design for manufacturing (DFM) constraints. To address the customization issues within a design for AM (DFAM) framework, this paper defines 2-step approaches: (1) representing design knowledge for customization and (2) systemically reflecting customized design factors to DFAM frameworks. As a start of the study, this paper represents design knowledge concerning customer's desired product use, customer's perceived preference, and product's functional features affecting design factors. We use Affordance Theory and Finite State Automata (FSA) to represent the design knowledge.

Original language	English
Title of host publication	PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PROGRESS IN ADDITIVE MANUFACTURING
Editors	CC Kai, YW Yee, TM Jen, L Erjia
Publisher	Research Publishing Services
Pages	13-18
Number of pages	6
ISBN (Electronic)	978-981-09-0445-6
ISBN (Print)	978-981-09-0446-3
DOIs	https://doi.org/10.3850/978-981-09-0446-3_098
Publication status	Published - 2014
MoE publication type	A4 Conference publication
Event	International Conference on Progress in Additive Manufacturing - Singapore, Singapore Duration: 26 May 2014 → 28 May 2014 Conference number: 1

Conference

Conference	International Conference on Progress in Additive Manufacturing
Abbreviated title	Pro-AM
Country/Territory	Singapore
City	Singapore
Period	26/05/2014 → 28/05/2014

Keywords

Affordance
Design for Customization
Design for Additive Manufacturing
Finite State Automata
Knowledge Representation

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10.3850/978-981-09-0446-3_098

Cite this

@inproceedings{c6e2c7a632b64ce2ba3f07fad19d3d85,

title = "CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING",

abstract = "The unique technologies of Additive Manufacturing (AM) have enabled new opportunities for product customization by eliminating the conventional design for manufacturing (DFM) constraints. To address the customization issues within a design for AM (DFAM) framework, this paper defines 2-step approaches: (1) representing design knowledge for customization and (2) systemically reflecting customized design factors to DFAM frameworks. As a start of the study, this paper represents design knowledge concerning customer's desired product use, customer's perceived preference, and product's functional features affecting design factors. We use Affordance Theory and Finite State Automata (FSA) to represent the design knowledge.",

keywords = "Affordance, Design for Customization, Design for Additive Manufacturing, Finite State Automata, Knowledge Representation",

author = "Hyunwoong Ko and Moon, {Seung Ki} and Kevin Otto",

year = "2014",

doi = "10.3850/978-981-09-0446-3_098",

language = "English",

isbn = "978-981-09-0446-3",

pages = "13--18",

editor = "CC Kai and YW Yee and TM Jen and L Erjia",

booktitle = "PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PROGRESS IN ADDITIVE MANUFACTURING",

publisher = "Research Publishing Services",

address = "Singapore",

note = "International Conference on Progress in Additive Manufacturing, Pro-AM ; Conference date: 26-05-2014 Through 28-05-2014",

}

Ko, H, Moon, SK & Otto, K 2014, CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING. in CC Kai, YW Yee, TM Jen & L Erjia (eds), PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PROGRESS IN ADDITIVE MANUFACTURING. Research Publishing Services, pp. 13-18, International Conference on Progress in Additive Manufacturing, Singapore, Singapore, 26/05/2014. https://doi.org/10.3850/978-981-09-0446-3_098

CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING. / Ko, Hyunwoong; Moon, Seung Ki; Otto, Kevin.
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PROGRESS IN ADDITIVE MANUFACTURING. ed. / CC Kai; YW Yee; TM Jen; L Erjia. Research Publishing Services, 2014. p. 13-18.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING

AU - Ko, Hyunwoong

AU - Moon, Seung Ki

AU - Otto, Kevin

N1 - Conference code: 1

PY - 2014

Y1 - 2014

N2 - The unique technologies of Additive Manufacturing (AM) have enabled new opportunities for product customization by eliminating the conventional design for manufacturing (DFM) constraints. To address the customization issues within a design for AM (DFAM) framework, this paper defines 2-step approaches: (1) representing design knowledge for customization and (2) systemically reflecting customized design factors to DFAM frameworks. As a start of the study, this paper represents design knowledge concerning customer's desired product use, customer's perceived preference, and product's functional features affecting design factors. We use Affordance Theory and Finite State Automata (FSA) to represent the design knowledge.

AB - The unique technologies of Additive Manufacturing (AM) have enabled new opportunities for product customization by eliminating the conventional design for manufacturing (DFM) constraints. To address the customization issues within a design for AM (DFAM) framework, this paper defines 2-step approaches: (1) representing design knowledge for customization and (2) systemically reflecting customized design factors to DFAM frameworks. As a start of the study, this paper represents design knowledge concerning customer's desired product use, customer's perceived preference, and product's functional features affecting design factors. We use Affordance Theory and Finite State Automata (FSA) to represent the design knowledge.

KW - Affordance

KW - Design for Customization

KW - Design for Additive Manufacturing

KW - Finite State Automata

KW - Knowledge Representation

U2 - 10.3850/978-981-09-0446-3_098

DO - 10.3850/978-981-09-0446-3_098

M3 - Conference article in proceedings

SN - 978-981-09-0446-3

SP - 13

EP - 18

BT - PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PROGRESS IN ADDITIVE MANUFACTURING

A2 - Kai, CC

A2 - Yee, YW

A2 - Jen, TM

A2 - Erjia, L

PB - Research Publishing Services

T2 - International Conference on Progress in Additive Manufacturing

Y2 - 26 May 2014 through 28 May 2014

ER -

CUSTOMIZATION DESIGN KNOWLEDGE REPRESENTATION TO SUPPORT ADDITIVE MANUFACTURING

Abstract

Conference

Keywords

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