Muir, MJ, Querin, OM and Toropov, V (2014) Rules, precursors and parameterization methodologies for topology optimized structural designs realized through additive manufacturing. In: 10th AIAA Multidisciplinary Design Optimization Specialist Conference (AIAA SciTech). 10th AIAA Multidisciplinary Design Optimization Specialist Conference, 13-17 Jan 2014, National Harbor, Maryland, USA. American Institute of Aeronautics and Astronautics ISBN 978-1-62410-310-0
Abstract
Additive manufacturing, more commonly known as 3D printing is a rapidly developing, thoroughly novel means of producing complex, previously difficult to manufacture components. Slowly divorcing itself from previously held preconceptions of rapid prototyping and now capable of producing comparable structures from materials such as titanium and high strength nickel alloys, it is a means of manufacturing structures deemed too complex for existing fabrication techniques. Whilst free of conventional constraints, the unique intricacies of the manufacturing process can lead to the creation of factors, detrimental to production success. The research detailed within this paper demonstrates through example, how the orientation of a part prior to build can be optimized in order to significantly mitigate these effects and to maximize build economics. Furthermore the research details a new method for the combined assessment and tailored structural topology optimization of parts intended for production by specific additive manufacturing technologies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © American Institute of Aeronautics and Astronautics 2014. This is an author produced version of a paper published in 10¬th AIAA Multidisciplinary Design Optimization Specialist Conference (AIAA SciTech). Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jul 2016 11:18 |
Last Modified: | 17 Jan 2018 21:10 |
Published Version: | https://dx.doi.org/10.2514/6.2014-0635 |
Status: | Published |
Publisher: | American Institute of Aeronautics and Astronautics |
Identification Number: | 10.2514/6.2014-0635 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89017 |