Strategies for functionally graded lattice structures derived using topology optimisation for Additive Manufacturing

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dc.contributor.author Panesar, Ajit en
dc.contributor.author Abdi, Meisam en
dc.contributor.author Hickman, Duncan en
dc.contributor.author Ashcroft, Ian en
dc.date.accessioned 2017-12-19T11:37:49Z
dc.date.available 2017-12-19T11:37:49Z
dc.date.issued 2017-11-14
dc.identifier.citation Panesar, A. et al. (2018) Strategies for functionally graded lattice structures derived using topology optimisation for Additive Manufacturing. Additive Manufacturing, 19, pp. 81-94 en
dc.identifier.uri http://hdl.handle.net/2086/15022
dc.description open access article en
dc.description.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. en
dc.language.iso en en
dc.publisher Elsevier en
dc.title Strategies for functionally graded lattice structures derived using topology optimisation for Additive Manufacturing en
dc.type Article en
dc.identifier.doi https://doi.org/10.1016/j.addma.2017.11.008
dc.peerreviewed Yes en
dc.funder EPSRC (Engineering and Physical Sciences Research Council) en
dc.projectid EP/N010280/1 en
dc.cclicence CC-BY-NC en
dc.date.acceptance 2017-11-13 en
dc.exception.reason 38f. The output was published as ‘gold’ open access en


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