The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Effective design and simulation of surface-based lattice structures featuring volume fraction and cell type grading
Open accessAbstract
In this paper we present a numerical investigation into surface-based lattice structures with the aim of facilitating their design for additive manufacturing. We give the surface equations for these structures and show how they can be used to tailor their volume fractions. Finite element analysis is used to investigate the effect of cell type, orientation and volume fraction on the elastic moduli of the lattice structures, giving rise to a valuable set of numerical parameters which can be used to design a lattice to provide a specified stiffness. We find the I-WP lattice in the [001] orientation provides the highest stiffness along a single loading direction, but the diamond lattice may be more suitable for cases where lower mechanical anisotropy is important. Our stiffness models enable the construction of a powerful numerical tool for predicting the performance of graded structures. We highlight a particular problem which can arise when two lattice types are hybridised; an aberration leading to structural weakening and high stress concentrations. We put forward a novel solution to this problem and demonstrate its usage. The methods and results detailed in this paper enable the efficient design of lattice structures functionally graded by volume fraction and cell type.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cellular solids structure and properties
Gibson, L. J., Ashby, M. F., et al. (1997) · Cited by 9,172
Cellular solids: Structure and properties
Wolcott, M. P. (1990) · Materials Science and Engineering: A · doi:10.1016/0921-5093(90)90295-e · Cited by 5,926
Ultralight, ultrastiff mechanical metamaterials
Zheng, X., Lee, H., Weisgraber, T. H., Shusteff, M., DeOtte, J., Duoss, E. B., Kuntz, J. D., Biener, M. M., Ge, Q., Jackson, J. A., et al. (2014) · Science · doi:10.1126/science.1252291 · Cited by 2,308
Bone tissue engineering using 3D printing
Bose, S., Vahabzadeh, S., & Bandyopadhyay, A. (2013) · Materials Today · doi:10.1016/j.mattod.2013.11.017 · Cited by 1,866
Effective properties of the octet-truss lattice material
Deshpande, V. S., Fleck, N. A., & Ashby, M. F. (2001) · Journal of the Mechanics and Physics of Solids · doi:10.1016/s0022-5096(01)00010-2 · Cited by 1,741
Recent advances in 3D printing of biomaterials
Chia, H. N., & Wu, B. M. (2015) · Journal of Biological Engineering · doi:10.1186/s13036-015-0001-4 · Cited by 1,734
The topological design of multifunctional cellular metals
Evans, A. G., Hutchinson, J. W., Fleck, N. A., Ashby, M. F., & Wadley, H. N. G. (2001) · Progress in Materials Science · doi:10.1016/s0079-6425(00)00016-5 · Cited by 1,134
Sing, S. L., An, J., Yeong, W. Y., & Wiria, F. E. (2016) · Journal of Orthopaedic Research · doi:10.1002/jor.23075 · Cited by 942
Al-Ketan, O., Rowshan, R., & Abu Al-Rub, R. K. (2018) · Additive Manufacturing · doi:10.1016/j.addma.2017.12.006 · Cited by 941
Gorsse, S., Hutchinson, C., Gouné, M., & Banerjee, R. (2017) · Science and Technology of Advanced Materials · doi:10.1080/14686996.2017.1361305 · Cited by 920
Cited by
Chowdhury, S., Yadaiah, N., Prakash, C., Ramakrishna, S., Dixit, S., Gupta, L. R., & Buddhi, D. (2022) · Journal of Materials Research and Technology · doi:10.1016/j.jmrt.2022.07.121 · Cited by 784
Khan, N., & Riccio, A. (2024) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2024.101021 · Cited by 486
Lei, H., Li, C., Meng, J., Zhou, H., Liu, Y., Zhang, X., Wang, P., & Fang, D. (2019) · Materials & Design · doi:10.1016/j.matdes.2019.107685 · Cited by 331
Metadata
- Authors
- Maskery, I., Aremu, A. O., Parry, L., Wildman, R. D., Tuck, C. J., & Ashcroft, I. A.
- Venue
- Materials & Design
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 155
- Pages
- 220-232
- ISSN
- 0264-1275 (ISSN-L)
- OpenAlex
- W2805505517
- Cited by
- 441
- References
- 38
- FWCI
- 19.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effective design and simulation of surface-based lattice structures featuring volume fraction and cell type grading. https://app.cochat.ai/papers/10.1016/j.matdes.2018.05.058
- The paper
- Maskery, I., Aremu, A. O., Parry, L., Wildman, R. D., Tuck, C. J., & Ashcroft, I. A. (2018). Effective design and simulation of surface-based lattice structures featuring volume fraction and cell type grading. Materials & Design. https://doi.org/10.1016/j.matdes.2018.05.058
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.