Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84284
Title: Customization Design Knowledge Representation to Support Additive Manufacturing
Authors: Ko, Hyunwoong
Moon, Seung Ki
Otto, Kevin
Keywords: Design for customization
Affordance
Issue Date: 2014
Source: Ko, H., Moon, S. K., & Otto, K. (2014). Customization Design Knowledge Representation to Support Additive Manufacturing. Proceedings of the 1st International Conference on Progress in Additive Manufacturing (Pro-AM 2014), 13-18.
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.
URI: https://hdl.handle.net/10356/84284
http://hdl.handle.net/10220/41703
DOI: http://dx.doi.org/10.3850/978-981-09-0446-3_098
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers
Pro-AM Conference Papers

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