Thermal, electrical and mechanical properties of filler-doped polymer concrete

Küçük, Vedat Arda; Çinar, Emriye; Korucu, Haluk; Şimşek, Barış; Guvenc, Ali Bilge; Uygunoğlu, Tayfun; Kocakerìm, M. Muhtar

doi:10.1016/j.conbuildmat.2019.07.256

Cited by 6 publications

(1 citation statement)

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“…The basic groups of application of polymeric materials in technology result from their specific functional properties. Most often they are used in the following areas: construction [ 2 , 3 ], medicine [ 4 ], agriculture [ 5 ], food [ 6 ], household [ 7 ], automotive [ 8 , 9 ] and chemical [ 10 ]. The application of plastic as packaging items is especially important, with around 40 million tonnes of plastic film produced from polyethylene alone [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review

2020

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The determination of the secure working life of polymeric materials is essential for their successful application in the packaging, medicine, engineering and consumer goods industries. An understanding of the chemical and physical changes in the structure of different polymers when exposed to long-term external factors (e.g., heat, ozone, oxygen, UV radiation, light radiation, chemical substances, water vapour) has provided a model for examining their ultimate lifetime by not only stabilization of the polymer, but also accelerating the degradation reactions. This paper presents an overview of the latest accounts on the impact of the most common environmental factors on the degradation processes of polymeric materials, and some examples of shelf life of rubber products are given. Additionally, the methods of lifetime prediction of degradable polymers using accelerated ageing tests and methods for extrapolation of data from induced thermal degradation are described: the Arrhenius model, time–temperature superposition (TTSP), the Williams–Landel–Ferry (WLF) model and 5 isoconversional approaches: Friedman’s, Ozawa–Flynn–Wall (OFW), the OFW method corrected by N. Sbirrazzuoli et al., the Kissinger–Akahira–Sunose (KAS) algorithm, and the advanced isoconversional method by S. Vyazovkin. Examples of applications in recent years are given.

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Section: Introductionmentioning

confidence: 99%

Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review

2020

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Thermal Degradation Behavior of Thermally‐Oxidized Hydroxyl‐Terminated Polybutadiene (HTPB): An Assessment of Thermal Stability

Irfan,

Xiao

2024

ChemistrySelect

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Thermal analysis was performed on different thermally oxidized hydroxyl‐terminated polybutadiene (HTPB) samples, varying in molecular weights, polydispersities, and viscosities. The HTPB sample was subjected to thermal ageing at 65 °C for 10 weeks and periodically withdrawn for thermal analysis. During thermal ageing, HTPB undergoes chain rearrangements that may include scission and subsequent crosslinking, leading to a higher average molecular weight and viscosity. Differential scanning calorimeter (DSC) and thermogravimetric analyses were performed on thermally oxidized HTPB samples under inert heating conditions to investigate their degradation behavior. The DSC results revealed no significant correlations between the glass transition (Tg) and the samples' molecular weight, viscosity, and polydispersity. In TGA, all HTPB samples showed a two‐step thermal decomposition process characterized by two distinct mass loss stages. Notably, the first stage exhibited a lower total mass loss and a considerably lower peak rate of mass loss than the second stage. The thermal stability of HTPB is significantly compromised by thermal‐oxidative degradation, leading to a pronounced decrease in the initial degradation temperature (TIDT) values, from 372 °C (pristine or 0 week) to 228 °C (10 weeks). Furthermore, we measured the energy of activation (Ea) and the pre‐exponential factor (A) from TGA data using the Coats–Redfern integral equation. Notably, we observed a slight but systematic increase in both Ea and A as the molecular weight of the aged samples increased.

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