Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Soumissions récentes
Voici les éléments 351-357 de 1302
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Article dans une revue avec comité de lecture(Elsevier, 2021)The radio-thermal oxidation of silane cross-linked polyethylene (Si-XLPE) was studied in air under different γ dose rates (6.0, 8.5, 77.8, and 400 Gy.h−1) at different temperatures (21, 47, and 86°C). The changes in the ...
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Article dans une revue avec comité de lecture(Elsevier Masson, 2020)The viscoplastic behavior of polycrystalline Mg2SiO4 wadsleyite aggregates, a major high pressure phase of the mantle transition zone of the Earth (depth range: 410–520 km), is obtained by properly bridging several scale ...
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Article dans une revue avec comité de lecture(Elsevier, 2021)This paper gives a first study of the thermal and thermal oxidative ageing of ELIUM® resins. Chain ends unzipping was observed to be the main degradation mechanism under nitrogen whereas an oxidation mechanism with random ...
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Article dans une revue avec comité de lecture(Springer Verlag (Germany), 2020)To reinforce the environmental standards, we need to strengthen the lightening of vehicles and to generalize new composite materials in order to reduce weight. To use these innovative composite materials in the mass ...
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Article dans une revue avec comité de lecture(Elsevier, 2021)The thermal oxidation of stabilized polydicyclopentadiene was deeply studied here for the first time. Three kinds of antioxidants (phenolic antioxidant BHT, monomeric hindered amine in alkoxylated form Tinuvin 123 and ...
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Article dans une revue avec comité de lecture(Wiley-Blackwell, 2021)The Hermans orientation factor is a scalar giving a simple assessment of molecular or crystal orientation in a polymer. It is usually determined from X-ray diffraction measurements. The evaluation of the Hermans orientation ...
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Article dans une revue avec comité de lecture(Elsevier Masson, 2020)The present work aims at analyzing issues related to the data manifold dimensionality. The interest of the study is twofold: (i) first, when too many measurable variables are considered, manifold learning is expected to ...