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Abstract

Cellular Materials Optimisation Framework †

by
Miguel R. Silva
1,2,*,
António M. Pereira
1,
Nuno M. Alves
1,
Álvaro M. Sampaio
2,3,4 and
António J. Pontes
2,3,4
1
CDRSP/ESTG, Polytechnic of Leiria, 2411-901 Leiria, Portugal
2
Institute for Polymers and Composites-IPC, School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
3
DONE Lab—Advanced Manufacturing of Polymers and Tools, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
4
Lab2PT, School of Architecture, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
*
Author to whom correspondence should be addressed.
Presented at the Materiais 2022, Marinha Grande, Portugal, 10–13 April 2022.
Mater. Proc. 2022, 8(1), 98; https://doi.org/10.3390/materproc2022008098
Published: 16 June 2022
(This article belongs to the Proceedings of MATERIAIS 2022)
The methods used to achieve optimal solutions to an engineering problem are diverse. Uniquely analytical approaches are directly dependent on mathematical analysis methods, which implies a high level of complexity or even numerous intractable engineering problems. Conventional topological optimisation approaches focus on empirical knowledge or parameterised studies (e.g., numerical simulation). On the other hand, in heterogeneous materials with a complex internal microstructure, mechanical properties can be difficult to calculate using analytical prediction methods.
In this study, an optimisation framework is proposed for the design and mechanical properties evaluation of cellular materials. Several computational tools for integrated topology optimisation and numerical homogenisation were developed. Furthermore, as both computational tools used the finite element method (MEF), a commercial program (AbaqusCAE6.14-1) and the object-oriented programming language Python for the MEF and calculation modules were used, respectively.
The results show that optimized repetitive volume elements (RVE) solutions were achieved by setting up different initial designs based on density restrictions or forces. Moreover, the proposed framework enabled the design and analysis of complex geometries RVE with a wide range of mechanical properties.

Author Contributions

Conceptualization, M.R.S. and A.M.P.; methodology, M.R.S., A.M.P. and N.M.A.; software, M.R.S.; validation, M.R.S. and A.M.P.; formal analysis, M.R.S. and A.M.P.; investigation, M.R.S.; resources, N.M.A.; writing—original draft preparation, M.R.S.; writing—review and editing, M.R.S., A.J.P., Á.M.S., N.M.A. and A.M.P.; funding acquisition, N.M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Portuguese Science Funding Foundation FCT—Fundação para a Ciência e a Tecnologia (Grant No. SFRH/BD/130908/2017); PAMI—Portuguese Additive Manufacturing Initiative (Project nº22158—SAICT—AAC—01/SAICT/2016), CDRSP (UIDB/04044/2020), (UIDP/04044/2020); Add.Additive—add additive manufacturing to Portuguese industry (POCI-01-0247-FEDER-024533).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Silva, M.R.; Pereira, A.M.; Alves, N.M.; Sampaio, Á.M.; Pontes, A.J. Cellular Materials Optimisation Framework. Mater. Proc. 2022, 8, 98. https://doi.org/10.3390/materproc2022008098

AMA Style

Silva MR, Pereira AM, Alves NM, Sampaio ÁM, Pontes AJ. Cellular Materials Optimisation Framework. Materials Proceedings. 2022; 8(1):98. https://doi.org/10.3390/materproc2022008098

Chicago/Turabian Style

Silva, Miguel R., António M. Pereira, Nuno M. Alves, Álvaro M. Sampaio, and António J. Pontes. 2022. "Cellular Materials Optimisation Framework" Materials Proceedings 8, no. 1: 98. https://doi.org/10.3390/materproc2022008098

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