‘Seeing’ Strain in Soft Materials
| Autor: | Timothy P. Harrigan, Zhiyong Xia, Stephen L. Craig, Evan P. Lloyd, Quang T. Luong, Vanessa D. Alphonse, Meredith H. Barbee, Jeff M. Paulson, Doug B. Trigg |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Digital image correlation
Indoles Time Factors Materials science poly(dimethyl siloxane) mechanophore strain sensing Color Pharmaceutical Science Elastomer Article Analytical Chemistry lcsh:QD241-441 chemistry.chemical_compound Imaging Three-Dimensional poly(dimethyl siloxane) lcsh:Organic chemistry Tensile Strength Brain Injuries Traumatic Materials Testing Drug Discovery Pressure Humans Benzopyrans Dimethylpolysiloxanes Physical and Theoretical Chemistry Composite material Tensile testing Spiropyran Millisecond Strain (chemistry) mechanophore Organic Chemistry Split-Hopkinson pressure bar Strain rate Nitro Compounds Elasticity spiropyran Models Chemical chemistry Chemistry (miscellaneous) Molecular Medicine Stress Mechanical impact strain |
| Zdroj: | Molecules Volume 24 Issue 3 Molecules, Vol 24, Iss 3, p 542 (2019) |
| ISSN: | 1420-3049 |
| Popis: | Several technologies can be used for measuring strains of soft materials under high rate impact conditions. These technologies include high speed tensile test, split Hopkinson pressure bar test, digital image correlation and high speed x-ray imaging. However, none of these existing technologies can produce a continuous 3D spatial strain distribution in the test specimen. Here we report a novel passive strain sensor based on poly(dimethyl siloxane) (PDMS) elastomer with covalently incorporated spiropyran (SP) mechanophore to measure impact induced strains. We have shown that the incorporation of SP into PDMS at 0.25 wt% level can adequately measure impact strains via color change under a high strain rate of 1500 s&minus 1 within a fraction of a millisecond. Further, the color change is fully reversible and thus can be used repeatedly. This technology has a high potential to be used for quantifying brain strain for traumatic brain injury applications. |
| Databáze: | OpenAIRE |
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