Some Practical Considerations for Compression Failure Characterization of Open-Cell Polyurethane Foams Using Digital Image Correlation.

compression fracture digital image correlation failure characterization speckle quality

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Jul 2020
Historique:
received: 30 06 2020
revised: 21 07 2020
accepted: 23 07 2020
entrez: 30 7 2020
pubmed: 30 7 2020
medline: 30 7 2020
Statut: epublish

Résumé

(1) Background: Open-cell polyurethane foam mechanical behavior is highly influenced by microstructure. The determination of the failure mechanisms and the characterization of the deformation modes involved at the micro scale is relevant for accurate failure modeling. (2) Methods: We use digital image correlation (DIC) to investigate strain fields of open-cell polyurethane foams of three different densities submitted to compression testing. We analyze the effect of some DIC parameters on the failure pattern definition and the equivalent strain magnification at the apparent ultimate point. Moreover, we explore speckle versus non-speckle approaches and discuss the importance of determining the pattern quality to perform the displacement correlation. (3) Results: DIC accurately characterizes the failure patterns. A variation in the subset size has a relevant effect on the strain magnification values. Step size effect magnitude depends on the subset size. The pattern matching criterion presented little influence (3.5%) on the strain magnification. (4) Conclusion: The current work provides a comprehensive analysis of the influence of some DIC parameters on compression failure characterization of foamed structures. It highlights that changes of subset and step sizes have a significant effect on the failure pattern definition and the strain magnification values, while the pattern matching criterion and the use of speckle have a minor influence on the results. Moreover, this work stands out that the determination of the pattern quality has a major importance for texture analysis. The in-depth, detailed study carried out with samples of three different apparent densities is a useful guide for DIC users as regards texture correlation and foamed structures.

Identifiants

pubmed: 32722419
pii: s20154141
doi: 10.3390/s20154141
pmc: PMC7435737
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Spanish Ministerio de Ciencia, Innovación y Universidades
ID : DPI2013-46641-R
Organisme : Spanish Ministerio de Ciencia, Innovación y Universidades
ID : DPI2017-89197-C2-2-R
Organisme : Generalitat Valenciana
ID : Programme PROMETEO 2016/007
Organisme : Generalitat Valenciana
ID : Plan FDGENT 2018 GVA

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Auteurs

Ricardo Belda (R)

Centre of Research in Mechanical Engineering-CIIM, Department of Mechanical Engineering and Materials, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.

Raquel Megías (R)

Institute of Mechanical and Biomechanical Engineering-I2MB, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.

Norberto Feito (N)

Centre of Research in Mechanical Engineering-CIIM, Department of Mechanical Engineering and Materials, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.

Ana Vercher-Martínez (A)

Institute of Mechanical and Biomechanical Engineering-I2MB, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.
Networking Biomedical Research Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Politècnica de València, Building 9C, Camino de Vera s/n, 46022 Valencia, Spain.

Eugenio Giner (E)

Centre of Research in Mechanical Engineering-CIIM, Department of Mechanical Engineering and Materials, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.
Networking Biomedical Research Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Politècnica de València, Building 9C, Camino de Vera s/n, 46022 Valencia, Spain.

Classifications MeSH