Cargando…
Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation
Consistent and reproducible data are key for material characterization. This work presents digital image correlation (DIC) strain acquisition guidelines for compression-loaded carbon fiber composites. Additionally, a novel bending criterion is formulated which builds up on the DIC strain data so tha...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538946/ https://www.ncbi.nlm.nih.gov/pubmed/34683523 http://dx.doi.org/10.3390/ma14205931 |
_version_ | 1784588627814121472 |
---|---|
author | D’haen, Jonas J. A. May, Michael Knoll, Octavian Kerscher, Stefan Hiermaier, Stefan |
author_facet | D’haen, Jonas J. A. May, Michael Knoll, Octavian Kerscher, Stefan Hiermaier, Stefan |
author_sort | D’haen, Jonas J. A. |
collection | PubMed |
description | Consistent and reproducible data are key for material characterization. This work presents digital image correlation (DIC) strain acquisition guidelines for compression-loaded carbon fiber composites. Additionally, a novel bending criterion is formulated which builds up on the DIC strain data so that it is able to completely replace state-of-the-art tactile strain devices. These guidelines are derived from a custom test setup that simultaneously investigates the front and side view of the specimen. They reflect both an observation and post-processing standpoint. It is found that the DIC-based strain progress matches closely with state-of-the-art strain gauges up to failure initiation. The new bending evaluation criterion allows the bending state—and therefore, the validity of the compression test—to be monitored analogously to the methodology defined in the standards. Furthermore, the new bending criterion eliminates a specific bending mode, caused by an offset of clamps, which cannot be detected by the traditional strain gauge-based monitoring approach. |
format | Online Article Text |
id | pubmed-8538946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85389462021-10-24 Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation D’haen, Jonas J. A. May, Michael Knoll, Octavian Kerscher, Stefan Hiermaier, Stefan Materials (Basel) Article Consistent and reproducible data are key for material characterization. This work presents digital image correlation (DIC) strain acquisition guidelines for compression-loaded carbon fiber composites. Additionally, a novel bending criterion is formulated which builds up on the DIC strain data so that it is able to completely replace state-of-the-art tactile strain devices. These guidelines are derived from a custom test setup that simultaneously investigates the front and side view of the specimen. They reflect both an observation and post-processing standpoint. It is found that the DIC-based strain progress matches closely with state-of-the-art strain gauges up to failure initiation. The new bending evaluation criterion allows the bending state—and therefore, the validity of the compression test—to be monitored analogously to the methodology defined in the standards. Furthermore, the new bending criterion eliminates a specific bending mode, caused by an offset of clamps, which cannot be detected by the traditional strain gauge-based monitoring approach. MDPI 2021-10-09 /pmc/articles/PMC8538946/ /pubmed/34683523 http://dx.doi.org/10.3390/ma14205931 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article D’haen, Jonas J. A. May, Michael Knoll, Octavian Kerscher, Stefan Hiermaier, Stefan Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title | Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title_full | Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title_fullStr | Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title_full_unstemmed | Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title_short | Strain Acquisition Framework and Novel Bending Evaluation Formulation for Compression-Loaded Composites Using Digital Image Correlation |
title_sort | strain acquisition framework and novel bending evaluation formulation for compression-loaded composites using digital image correlation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538946/ https://www.ncbi.nlm.nih.gov/pubmed/34683523 http://dx.doi.org/10.3390/ma14205931 |
work_keys_str_mv | AT dhaenjonasja strainacquisitionframeworkandnovelbendingevaluationformulationforcompressionloadedcompositesusingdigitalimagecorrelation AT maymichael strainacquisitionframeworkandnovelbendingevaluationformulationforcompressionloadedcompositesusingdigitalimagecorrelation AT knolloctavian strainacquisitionframeworkandnovelbendingevaluationformulationforcompressionloadedcompositesusingdigitalimagecorrelation AT kerscherstefan strainacquisitionframeworkandnovelbendingevaluationformulationforcompressionloadedcompositesusingdigitalimagecorrelation AT hiermaierstefan strainacquisitionframeworkandnovelbendingevaluationformulationforcompressionloadedcompositesusingdigitalimagecorrelation |