Design for additive manufacturing in customized products
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Additive Manufacturing (AM) is a promising manufacturing technology and increasingly used to develop parts, tools, and products beyond Rapid Prototypes (RP). The unique capabilities of AM technologies enable new opportunities for customization, through significant improvements in product performance, multi-functionality, and lower overall manufacturing costs. The objective of this research is to propose a formal representation of design knowledge for Customized Design for Additive Manufacturing (CDFAM). In this study, the design knowledge on operational properties of Electron Beam Melting (EBM) are formally represented using Finite State Automata (FSA) and the concept of affordance to identify the interrelations between AM constraints, user’s desire and capabilities, and product’s customized features. The CDFAM method is expected to be the basic of advanced computational models for maximizing design and AM performances in product and AM process design.
KeywordsAdditive manufacturing Affordance Customization Design Electron beam melting Finite state automata
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- 1.Gibson, I., Rosen, D. W., and Stucker, B., “Additive Manufacturing Technologies,” Springer, pp. 1–3, 2010.Google Scholar
- 2.Rosen, D. W., “Design for Additive Manufacturing: A Method to Explore Unexplored Regions of the Design Space,” Proc. of 18th Annual Solid Freeform Fabrication Symposium, pp. 402–415, 2007.Google Scholar
- 9.Gibson, J. J., “The Ecological Approach to Visual Perception,” Houghton Mifflin, p. 127, 1979.Google Scholar
- 11.Cassandras, C. G., “Introduction to Discrete Event Systems,” Springer, 1999.Google Scholar
- 12.Hopcroft, J. E., Motwani, R., and Ullman, J. D., “Introduction to Automata Theory, Languages, and Computation,” Addison-Wesley, pp. 37–81, 2001.Google Scholar
- 13.Jacobs, P. F., “Stereolithography and Other RP&M Technologies: From Rapid Prototyping to Rapid Tooling”, Society of Manufacturing Engineers, 1995.Google Scholar
- 20.Ko, H., Lee, S., Shin, D., and Moon, S. K., “A Formal Model of Human Interactions for Service Ecosystem Design,” Proc. of ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2014.Google Scholar