Abstract
Additive manufacturing (AM) changes the way products are designed, manufactured and measured. It enables the fabrication of components with complex geometries and customisable material properties. However traditional design rules or guidelines are no longer applicable for AM. As a result design for additive manufacturing lacks of formal and structured design principles and guidelines. It urges a comprehensive system that can help designers and engineers understand for example how the geometrical design and process parameters will affect each other, and how to configure process parameters to meet specifications. In this paper a set of category ontologies has been developed to formalise fundamental/general knowledge of design and process for AM. A collection of design guidelines and rules are encapsulated and modelled into categorical structures. The formalisation of knowledge of AM will enable existing fundamental/general knowledge of AM process and state-of-the-art designing cases computer-readable and to be interrogated and reasoned, and then can be integrated into CAx platforms.
| Original language | English |
|---|---|
| Pages (from-to) | 87-91 |
| Number of pages | 5 |
| Journal | Procedia CIRP |
| Volume | 75 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | 15th CIRP Conference on Computer Aided Tolerancing, CIRP CAT 2018 - Milan, Italy Duration: 11 Jun 2018 → 13 Jun 2018 |
Bibliographical note
Funding Information:The authors gratefully acknowledge the UK’s Engineering and Physical Sciences Research Council (EPSRC) funding of the EPSRC Fellowship in Manufacturing: Controlling Geometrical Variability of Products for Manufacturing (Ref:EP/K037374/1), and funding of Future Manufacturing Research Hubs: Future Advanced Metrology Hub (Ref:EP/P006930/1).
Publisher Copyright:
© 2018 The Authors. Published by Elsevier B.V.
Keywords
- Additive Manufacturing (AM)
- geometrical variability
- process parameters