2018
DOI: 10.1016/j.polymdegradstab.2018.11.002
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A predictive model for polyethylene cable insulation degradation in combined thermal and radiation environments

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Cited by 12 publications
(7 citation statements)
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“…From Eq. ( 5 ), it can be seen that the parameter A is conversion dependent, while the parameter D should be independent of degradation extent [ 5 ]. All the samples under study correspond to the same material with varying degradation extent with respect to oxidation products.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…From Eq. ( 5 ), it can be seen that the parameter A is conversion dependent, while the parameter D should be independent of degradation extent [ 5 ]. All the samples under study correspond to the same material with varying degradation extent with respect to oxidation products.…”
Section: Resultsmentioning
confidence: 99%
“…Thermooxidative degradation of materials in nuclear powerplants is a typical example of the application where the materials are exposed simultaneously to radiation and thermal ageing so that many samples should be tested and many experiments should be carried out for the complete kinetic description of the degradation progress. An important task is to test the thermooxidative stability of the samples to assess their lifetime under these specific conditions [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Additional terms can be added to the right-hand side of Eq. ( 1 ) to account for the effect of other factors on the reaction rate such as the effect of pressure of reactants or products [ 4 6 ], effect of radiation [ 7 ], effect of mechanical stress, electric field, etc. The separability of temperature and conversion function indicated in Eq.…”
Section: Discussionmentioning
confidence: 99%
“…Anna Vykydalová et al. [16] developed a predictive model for the insulation degradation of polyethylene cable after performing artificial ageing.…”
Section: Introductionmentioning
confidence: 99%
“…Jingle Jabha et al used acoustic emission technique for the failure prediction in XLPE power cables [15]. Anna Vykydalová et al [16] developed a predictive model for the insulation degradation of polyethylene cable after performing artificial ageing.…”
Section: Introductionmentioning
confidence: 99%