Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing

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Panesar, Ajit, Abdi, Meisam, Hickman, Duncan and Ashcroft, Ian (2018) Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing. Additive Manufacturing, 19 . pp. 81-94. ISSN 2214-8604

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Abstract

A number of strategies that enable lattice structures to be derived from Topology Optimisation (TO) results suitable for Additive Manufacturing (AM) are presented. The proposed strategies are evaluated for mechanical performance and assessed for AM specific design related manufacturing considerations. From a manufacturing stand-point, support structure requirement decreases with increased extent of latticing, whereas the design-to-manufacture discrepancies and the processing efforts, both in terms of memory requirements and time, increase.

Results from Finite Element (FE) analysis for the two loading scenarios considered: intended loading, and variability in loading, provide insight into the solution optimality and robustness of the design strategies. Lattice strategies that capitalised on TO results were found to be considerably (∼40-50%) superior in terms of specific stiffness when compared to the structures where this was not the case. The Graded strategy was found to be the most desirable from both the design and manufacturing perspective. The presented pros-and-cons for the various proposed design strategies aim to provide insight into their suitability in meeting the challenges faced by the AM design community.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/907955
Keywords: Lattice structures; Functional Grading; Topology Optimisation; Design for Additive Manufacturing; Finite Element Analysis
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: 10.1016/j.addma.2017.11.008
Depositing User: Eprints, Support
Date Deposited: 17 Nov 2017 14:46
Last Modified: 04 May 2020 19:29
URI: https://eprints.nottingham.ac.uk/id/eprint/48214

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