Raw dataset of compression tests on a vegetable oil-based polyurethane foam exposed to different ageing conditions - Archive ouverte HAL
Article Dans Une Revue Data in Brief Année : 2024

Raw dataset of compression tests on a vegetable oil-based polyurethane foam exposed to different ageing conditions

Résumé

The current dataset brings raw compression test information of a vegetable-based polyurethane foam (PUF) exposed to different temperatures over different periods of time. Such experimental dataset can provide researchers with important information in the application of numerical and data-driven simulations. Also, it saves money and time once the experimental part is already available. At total, 90 compression tests were done following the ASTM D1621-16 standard with pictures for digital image correlation (DIC) being simultaneously acquired. The 90 specimens were divided in nine different ageing conditions. The foam was considered transversely isotropic, thus, 10 specimens for each condition were divided in two groups, five specimens for direction 1 and five for direction 3, where direction 3 is the foam expansion direction. The 3D DIC results show longitudinal and transverse strains from virtual extensometers. The results are available in .TRA and . csv files for the tests and DIC outputs, respectively. Also, the dataset brings the pictures used for DIC in .TIF format. It also brings the dimensions of each specimen prior to the test in .txt format. These results provide information for the calculation of major mechanical properties that can be freely.
Fichier principal
Vignette du fichier
Raw dataset of compression tests.pdf (1.5 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04470195 , version 1 (21-02-2024)

Licence

Identifiants

Citer

Enio H P da Silva, Silvio de Barros, Pascal Casari, Marcelo L Ribeiro. Raw dataset of compression tests on a vegetable oil-based polyurethane foam exposed to different ageing conditions. Data in Brief, 2024, 53, pp.110199. ⟨10.1016/j.dib.2024.110199⟩. ⟨hal-04470195⟩
46 Consultations
32 Téléchargements

Altmetric

Partager

More