Online citations, reference lists, and bibliographies.
← Back to Search

Some Practical Considerations For Compression Failure Characterization Of Open-Cell Polyurethane Foams Using Digital Image Correlation

R. Belda, R. Megías, N. Feito, Ana Vercher-Martínez, E. Giner
Published 2020 · Materials Science, Computer Science, Medicine

Cite This
Download PDF
Analyze on Scholarcy
Share
(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.
This paper references
10.1364/OE.16.007037
Study on subset size selection in digital image correlation for speckle patterns.
B. Pan (2008)
10.1016/0021-9290(85)90287-8
The mechanical behaviour of cancellous bone.
L. Gibson (1985)
10.1016/j.jbiomech.2016.02.032
How accurately can subject-specific finite element models predict strains and strength of human femora? Investigation using full-field measurements.
L. Grassi (2016)
10.1017/CBO9781139878326.007
Cellular Solids: The mechanics of foams: basic results
L. J. Gibson (1997)
10.1007/s10853-019-03673-8
Characterising and modelling the mechanical behaviour of polymeric foams under complex loading
I. Carranza (2019)
10.1016/J.IJFATIGUE.2016.03.006
Evaluation of crack-tip fields from DIC data: A parametric study
M. Mokhtarishirazabad (2016)
10.1016/0262-8856(83)90064-1
Determination of displacements using an improved digital correlation method
M. Sutton (1983)
10.4995/thesis/10251/149376
Mechanical and morphometric characterization of cancellous bone
Ricardo Belda González (2020)
Correlated Solutions Inc., USA
10.4028/www.scientific.net/KEM.601.250
Analysis of Deformation Bands in Polyurethane Foams
D. Apostol (2014)
10.1016/J.OPTLASENG.2016.05.019
Quality assessment of speckle patterns for DIC by consideration of both systematic errors and random errors
Yong Su (2016)
10.1007/s40799-018-0247-0
A Practical Procedure for Measuring the Stiffness of Foam like Materials
A. Marter (2018)
10.1088/0957-0233/20/6/062001
TOPICAL REVIEW: Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review
B. Pan (2009)
Basic biomechanical measurements of
C. H. Turner
10.1016/j.jmbbm.2016.10.002
Comparison of specimen-specific vertebral body finite element models with experimental digital image correlation measurements.
H. Gustafson (2017)
10.1098/rspa.1982.0088
The mechanics of three-dimensional cellular materials
I. Gibson (1982)
10.1080/23335432.2015.1117395
The use of digital image correlation in the biomechanical area: a review
M. Palanca (2016)
Cambridge Solid State Science Series
(1997)
10.1002/JOR.1100130214
Texture correlation: A method for the measurement of detailed strain distributions within trabecular bone
B. Bay (1995)
Application Notes (16/01/2020)
Digital Image Correlation Knowledgebase (2020)
10.1007/S11340-012-9617-1
Optimization of Digital Image Correlation for High-Resolution Strain Mapping of Ceramic Composites
V. Rajan (2012)
10.1007/978-0-387-78747-3
Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
M. A. Sutton (2009)
10.1016/S0020-7683(02)00176-2
Full-field measurements of heterogeneous deformation patterns on polymeric foams using digital image correlation
Y. Wang (2002)
10.1007/S10856-007-3158-7
Mechanical properties of open-cell foam synthetic thoracic vertebrae
Amy C. Johnson (2008)
10.1016/j.jmbbm.2015.06.006
Extracting accurate strain measurements in bone mechanics: A critical review of current methods.
L. Grassi (2015)
10.1016/j.msec.2013.04.013
Characterization and three-dimensional reconstruction of synthetic bone model foams.
S. Gómez (2013)
10.1016/J.COMPOSITESB.2007.02.011
Size effect on stress–strain relation of neat polyurethane foam
F. Chiang (2008)
10.1098/rspa.1982.0087
The mechanics of two-dimensional cellular materials
L. J. Gibson (1982)
10.1016/j.ijmecsci.2019.105213
Compression failure characterization of cancellous bone combining experimental testing, digital image correlation and finite element modeling
Ricardo Belda (2020)
10.1117/12.7972925
Digital imaging techniques in experimental stress analysis
W. H. Peters (1982)
10.1016/8756-3282(93)90081-K
Basic biomechanical measurements of bone: a tutorial.
C. Turner (1993)
10.1007/s10439-012-0587-3
Trabecular Level Analysis of Bone Cement Augmentation: A Comparative Experimental and Finite Element Study
Y. Zhao (2012)
10.1109/MAES.2013.6575402
What is a tutorial
W. P. Walsh (2013)
10.1016/J.OPTLASENG.2015.03.010
Some practical considerations in finite element-based digital image correlation
B. Wang (2015)
10.1515/MMS-2016-0028
A Review of Surface Deformation and Strain Measurement Using Two-Dimensional Digital Image Correlation
Sze-Wei Khoo (2016)
10.1016/J.IJSOLSTR.2007.03.018
Full-field characterization of mechanical behavior of polyurethane foams
H. Jin (2006)
Effects od cell-wall instability and local failure on the response of closed-cell polymeric foams subjected to dynamic loading
B. Koohbor (2018)
10.1016/J.OPTLASENG.2008.10.015
Parameter choice for optimized digital image correlation
K. Triconnet (2009)
10.1007/S11340-008-9204-7
Assessment of Digital Image Correlation Measurement Errors: Methodology and Results
M. Bornert (2009)
10.1016/j.msec.2017.03.158
Characterization of synthetic foam structures used to manufacture artificial vertebral trabecular bone.
D. Fürst (2017)
10.1016/J.OPTLASENG.2007.01.012
Study of optimal subset size in digital image correlation of speckle pattern images
Sun Yao-feng (2007)
10.1186/1471-2474-9-137
Compressive properties of commercially available polyurethane foams as mechanical models for osteoporotic human cancellous bone
P. S. Patel (2008)
10.1016/j.medengphy.2012.07.009
Time-lapsed imaging of implant fixation failure in human femoral heads.
T. L. Mueller (2013)
10.1016/J.ACTAMAT.2004.10.024
Finite element modelling of the actual structure of cellular materials determined by X-ray tomography
S. Youssef (2005)
10.1016/J.MECHMAT.2017.03.017
Effects of cell-wall instability and local failure on the response of closed-cell polymeric foams subjected to dynamic loading
B. Koohbor (2018)
Characterising and modeling the mechanical behaviour of polymeric foams under complex loading
I. Carranza (2019)
10.1016/J.ENGFAILANAL.2015.05.021
Shear and mode II fracture of PUR foams
L. Marsavina (2015)
10.1016/J.IJLEO.2015.08.034
Quality assessment of speckle patterns for digital image correlation by Shannon entropy
X. Liu (2015)



Semantic Scholar Logo Some data provided by SemanticScholar