Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing
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 consideration...
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| Format: | Article |
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Elsevier
2018
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| Online Access: | https://eprints.nottingham.ac.uk/48214/ |
| _version_ | 1848797716174340096 |
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| author | Panesar, Ajit Abdi, Meisam Hickman, Duncan Ashcroft, Ian |
| author_facet | Panesar, Ajit Abdi, Meisam Hickman, Duncan Ashcroft, Ian |
| author_sort | Panesar, Ajit |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:08:18Z |
| format | Article |
| id | nottingham-48214 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:08:18Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-482142020-05-04T19:29:15Z https://eprints.nottingham.ac.uk/48214/ Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing Panesar, Ajit Abdi, Meisam Hickman, Duncan Ashcroft, Ian 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. Elsevier 2018-01-31 Article PeerReviewed 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 Lattice structures; Functional Grading; Topology Optimisation; Design for Additive Manufacturing; Finite Element Analysis https://doi.org/10.1016/j.addma.2017.11.008 doi:10.1016/j.addma.2017.11.008 doi:10.1016/j.addma.2017.11.008 |
| spellingShingle | Lattice structures; Functional Grading; Topology Optimisation; Design for Additive Manufacturing; Finite Element Analysis Panesar, Ajit Abdi, Meisam Hickman, Duncan Ashcroft, Ian Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title | Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title_full | Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title_fullStr | Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title_full_unstemmed | Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title_short | Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| title_sort | strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing |
| topic | Lattice structures; Functional Grading; Topology Optimisation; Design for Additive Manufacturing; Finite Element Analysis |
| url | https://eprints.nottingham.ac.uk/48214/ https://eprints.nottingham.ac.uk/48214/ https://eprints.nottingham.ac.uk/48214/ |