Errors matter when measuring Poisson's ratio of nearly incompressible elastomers

Poisson's ratio (<i>ν</i>) is a materials property that quantifies the compressibility of a material. Measurements of this property become important for soft elastomers which display nearly incompressible behavior (<i>ν</i> > 0.495). Small differences in this property can lead to large differences in the stresses that develop during hydrostatic loadings such as those observed in gaskets, o-rings, and thin films. While there are multiple methods that can be used to quantify <i>ν</i>, many methods were developed for compressible materials which require less precision than nearly incompressible materials. Here an experimental survey of three methods of characterizing <i>ν</i> of a nearly incompressible elastomer is performed. These methods include direct measurement <i>via</i> digital image correlation, indirect measurement from the bulk modulus and Young's modulus, and a recently proposed method of indirect measurement from the shear modulus and Young's modulus. Particular care is paid towards understanding how experimental errors impact both the precision and accuracy of each method. It is found that indirectly measuring <i>ν</i> from the bulk modulus and Young's modulus is the most appropriate method for distinguishing nearly incompressible behavior from the incompressible limit (<i>ν</i> = 0.5).

Authors

Institutions

Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00535c
Citations
2
Primary Topic
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Errors matter when measuring Poisson's ratio of nearly incompressible elastomers

Christopher W. Barney, Robert D. Nedoluha, Majed N. Saadawi
2 citations
Soft Matter
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
1.35
article

Errors matter when measuring Poisson's ratio of nearly incompressible elastomers

Christopher W. Barney, Robert D. Nedoluha, Majed N. Saadawi
article en
2 citations

Abstract

Poisson's ratio (<i>ν</i>) is a materials property that quantifies the compressibility of a material. Measurements of this property become important for soft elastomers which display nearly incompressible behavior (<i>ν</i> > 0.495). Small differences in this property can lead to large differences in the stresses that develop during hydrostatic loadings such as those observed in gaskets, o-rings, and thin films. While there are multiple methods that can be used to quantify <i>ν</i>, many methods were developed for compressible materials which require less precision than nearly incompressible materials. Here an experimental survey of three methods of characterizing <i>ν</i> of a nearly incompressible elastomer is performed. These methods include direct measurement <i>via</i> digital image correlation, indirect measurement from the bulk modulus and Young's modulus, and a recently proposed method of indirect measurement from the shear modulus and Young's modulus. Particular care is paid towards understanding how experimental errors impact both the precision and accuracy of each method. It is found that indirectly measuring <i>ν</i> from the bulk modulus and Young's modulus is the most appropriate method for distinguishing nearly incompressible behavior from the incompressible limit (<i>ν</i> = 0.5).

Soft MatterVol. 21(34)
University of Akron (US), Akron Polymer Systems (United States) (US)
National Science Foundation, Directorate for Technology, Innovation and Partnerships
Openalex Percentile: Top 18%
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.