An Abaqus plugin for evaluation of the Auxetic structure performance

The behavior of Auxetic structures is highly dependent on the geometric parameters of the unit cell. To achieve the desired behavior, it is necessary to perform a parametric study on the unit cell. A conventional parametric study (which includes modeling and analysis with different parameters) is ve...

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Veröffentlicht in:Engineering with computers 2022-06, Vol.38 (Suppl 2), p.1681-1704
Hauptverfasser: Sangsefidi, A. R., Dibajian, S. H., Kadkhodapour, J., Anaraki, A. P., Schmauder, S., Schneider, Y.
Format: Artikel
Sprache:eng
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Zusammenfassung:The behavior of Auxetic structures is highly dependent on the geometric parameters of the unit cell. To achieve the desired behavior, it is necessary to perform a parametric study on the unit cell. A conventional parametric study (which includes modeling and analysis with different parameters) is very time consuming and error prone. The Auxetica plugin was produced to solve this problem. Auxetica is an Abaqus plugin developed to estimate Auxetic structures' performance. In this paper, the features and instructions of this plugin are presented. This tool can automatically generate and analyze re-entrant, chiral, (Tri-chiral, Tetra-chiral, Hexa-chiral) and anti-chiral (Tri-anti-chiral and Tetra-anti-chiral) in planar and cylindrical geometries. The plugin tasks can be categorized as follows: the first task is to generate a model based on parametric input. The second task is an automatic analysis and extraction of the target output. The third task is to generate models that are ready for 3D printing and testing. To validate the plugin, an experimental setup is prepared and samples which are made by 3D printing are tested. The simulation result is validated with experimental data before any parametric study would be carried out. Moreover, to understand the plugin functionality better, a parametric study has been done. This plugin helps to perform the parametric study by the user in the shortest time and with the most accuracy with the desired inputs.
ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-021-01295-w