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Design for Additive Manufacturing Method for a Mechanical System Downsizing
- Source :
- Procedia CIRP, 27th CIRP Design Conference, 27th CIRP Design Conference, May 2017, Cranfield, United Kingdom. pp.223-228, ⟨10.1016/j.procir.2017.02.011⟩
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- International audience; Thanks to the opportunities offered by additive manufacturing (AM) processes, design rules are evolving to lead to lighter and stiffer parts with really more complex shapes than those obtained by conventional processes. Worldwide, new tools of assistance to the design are developed, gathered under the naming “Design for Additive Manufacturing” (DfAM). However, most of the DfAM methods suggested in the literature remain focused on only one component and are not considering the product as a system of components. Moreover, optimizations are mainly limited on reducing the mass or the number of parts, and more rarely on adding some functions.In this article, a new approach is presented to realize a multifunctional optimization of a mechanical system (MS). A methodology is first proposed in order to improve a product by using the AM opportunity. Then, to quantify the improvements of an optimized system, a new design indicator appointed “functional improvement rate” is defined. Finally, a case study, applied to a compressed-air Wobbler engine, is presented to demonstrate the relevance of the methodology and the functional improvement rate. The design adapted to traditional manufacturing is compared to a part-by-part optimized design and a multifunctional optimized design, both adapted to additive manufacturing.
- Subjects :
- 0209 industrial biotechnology
Engineering
Additive manufacturing
business.industry
DfAM
Design for additive manufacturing
Topology optimization
02 engineering and technology
021001 nanoscience & nanotechnology
Manufacturing engineering
Product (business)
Mechanical system
[SPI]Engineering Sciences [physics]
020901 industrial engineering & automation
Component (UML)
Improvement rate
Multifunctional optimization
General Earth and Planetary Sciences
Relevance (information retrieval)
0210 nano-technology
business
General Environmental Science
Subjects
Details
- ISSN :
- 22128271
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Procedia CIRP
- Accession number :
- edsair.doi.dedup.....a10a237c56d0ea65b12f4a7113686035
- Full Text :
- https://doi.org/10.1016/j.procir.2017.02.011