2022
DOI: 10.1016/j.matdes.2022.111367
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Hydraulic-based testing and material modelling to investigate uniaxial compression of thermoset and thermoplastic polymers in quasistatic-to-dynamic regime

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Cited by 10 publications
(9 citation statements)
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References 43 publications
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“…The characteristics that can be observed in the stress-strain curves are yield curves that have a clearly defined yield point, like the curves grouped by strain rate, and after unloading, ≈5% of strain is reversible. There is an intersection of the strain-stress curves due to the stress drop at strain rates of 0.1 s −1 and 0.01 s −1 at deformation ≈0.5, which is in agreement with the results for thermoplastics [75,80,81]. The stress drop is a consequence of self-heating in the case of both strain rates; heat cannot be dissipated from the surrounding area because of the speed of the process, which consequently leads to further softening of the thermo-sensitive material.…”
Section: Uniaxial Compression Testingsupporting
confidence: 90%
“…The characteristics that can be observed in the stress-strain curves are yield curves that have a clearly defined yield point, like the curves grouped by strain rate, and after unloading, ≈5% of strain is reversible. There is an intersection of the strain-stress curves due to the stress drop at strain rates of 0.1 s −1 and 0.01 s −1 at deformation ≈0.5, which is in agreement with the results for thermoplastics [75,80,81]. The stress drop is a consequence of self-heating in the case of both strain rates; heat cannot be dissipated from the surrounding area because of the speed of the process, which consequently leads to further softening of the thermo-sensitive material.…”
Section: Uniaxial Compression Testingsupporting
confidence: 90%
“…A two-step parameter identification (PI) procedure using a (i) standard PI and (ii) SE test was employed to calibrate the material model [ 32 ]. The constrained Nelder–Mead optimization automatically retrieved the parameters , , and by minimizing the difference between the experimental result and the simulation one.…”
Section: Thermomechanical Modelingmentioning
confidence: 99%
“…A recent developed mesoscopic-based model provides a robust identifiable relationship between the amorphous–crystalline phase interaction and the overall stress–strain response [ 29 ]. It is widely recognized that polymers are pressure-, rate- and temperature-dependent, and they also suffer from self-heating and thermal softening effects [ 30 , 31 , 32 , 33 ]. To assess the intrinsic thermomechanical response, efforts have been made using digital image correlation (DIC) for video-monitored testing [ 32 , 33 , 34 ].…”
Section: Introductionmentioning
confidence: 99%
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“…The measurement of temperature increase in the samples was performed at room temperature and deformation rates of 0.01 s -1 and 0.1 s -1 . Even before the initial tests, these strain rates were identified as those for which an almost adiabatic scenario is established for thermoplastics [71][72][73][74]. Flir I7 infrared camera was used for the measurement of temperature evolution during compression tests.…”
Section: Measurement Of Temperature Change At High Strain Ratesmentioning
confidence: 99%