2021
DOI: 10.1021/acs.jpcb.1c04958
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Constitutive Model of Radiation Aging Effects in Filled Silicone Elastomers under Strain

Abstract: Filled silicone elastomers, an essential component in many technological applications, are often subjected to controlled or unintended radiation for a variety of reasons. Radiation exposure can lead to permanent mechanical and structural changes in the material, which is manifested as altered mechanical response, and in some cases, a permanent set. For unfilled elastomers, network theories developed and refined over decades can explain these effects in terms of chain-scission and cross-link formation and a hyp… Show more

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Cited by 13 publications
(18 citation statements)
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“…The latter makes use of the so-called ''Charlesby-Pinner'' analysis, 76 which has proven to return similar results as obtained through fitting constitutive models for siloxane elastomer stress-strain responses. 77 These approaches that rely on mechanical data necessarily only account for scissioning and crosslinking that alters mechanical response. Multi-quantum NMR can measure detailed changes in molecular weight distributions, but scissioning and crosslinking are again inferred indirectly through fitting to probabilistic models.…”
Section: Resultsmentioning
confidence: 99%
“…The latter makes use of the so-called ''Charlesby-Pinner'' analysis, 76 which has proven to return similar results as obtained through fitting constitutive models for siloxane elastomer stress-strain responses. 77 These approaches that rely on mechanical data necessarily only account for scissioning and crosslinking that alters mechanical response. Multi-quantum NMR can measure detailed changes in molecular weight distributions, but scissioning and crosslinking are again inferred indirectly through fitting to probabilistic models.…”
Section: Resultsmentioning
confidence: 99%
“…Irradiation of polymer materials is a common means for component sterilization, can arise during planned operations such as radiation shielding and UV curing of inks, and is a driver to accelerate aging. Chemical reactions resulting from radiation exposure can alter polymer networks through the formation of cross-links, the scissioning of chains, and the alteration of side groups. These atomic-scale changes to the polymer network can induce undesirable macroscale changes such as permanent set, embrittlement, breaking under load, and irreversible changes in mechanical moduli. , , Radical and ion chemistry is thought to be the primary cause for this damage, but the details can be hard to elucidate from integrated experiments and often invoke mechanistic assumptions. Obtaining a clear understanding of the initial stages of radiolytic chemistry is key for developing predictive dose- or age-aware models of polymer materials and can potentially guide the development of chemically robust polymers with desired mechanical and rheological properties.…”
mentioning
confidence: 99%
“…All-atom modeling using techniques such as molecular dynamics (MD) provide detailed mechanistic insights into radiolytic polymer chemistry driven by these ballistic electrons and subsequent downstream processes, including predicting radiation-induced reaction cascades, identifying synergies between environmental factors, ,, and testing proposed chemical reaction schemes. ,, However, MD modeling relies on judicious assessments of reasonable initial conditions and, in the case of radiolytic chemistry, usually invokes one of two approximations. One approach is to preseed simulations with radicals, ,, and the other is to explicitly model a primary knock-on atom (PKA) event in which incident ionizing radiation is assumed to induce an atomic recoil. , The latter is designed to simulate the atomic recoil resulting from a Rutherford scattering event. However, while these ad hoc approaches provide insight into the ensuing chemistry, they do not address the fundamental radiation–matter interactions that instigate these reactions, leaving considerable uncertainty in the validity of the initial conditions used for the MD.…”
mentioning
confidence: 99%
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