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HERO ID
4314047
Reference Type
Journal Article
Title
Polymer life-time prediction: The role of temperature in UV accelerated ageing of polypropylene and its copolymers
Author(s)
Tochacek, J; Vratnickova, Z
Year
2014
Is Peer Reviewed?
1
Journal
Polymer Testing
ISSN:
0142-9418
EISSN:
1873-2348
Publisher
Elsevier Ltd
Volume
36
Page Numbers
82-87
Language
English
DOI
10.1016/j.polymertesting.2014.03.019
Web of Science Id
WOS:000337553600012
Abstract
Correlation of accelerated ageing data with that of outdoor exposure was carried out based on the comparison of total UV radiation energy (TUVR) needed for degradation of the PP - homopolymer, random copolymer (TOT C2 = 3.2 wt.%) and impact copolymer (TOT C2 = 5.4 wt.%) compression moulded 0.5 mm films. Films were stabilized with 1000 ppm butylated hydroxytoluene (BHT), no UV stabilizer was used. Accelerated ageing was realized in a Q-Sun Xe-1 exposure chamber using a filtered xenon light source and a dry cycle. Weathering was carried out at Brno exposure site, representing the typical mid-European climate. Accelerated ageing was carried out at temperatures of 40, 50, 60 and 70 degrees C. In accelerated ageing, both the onset of carbonyl index (CI) increase and the point of reaching the same relative increase in CI as due to weathering were used as measures of polymer degradation. For induction periods attained at different temperatures, TUVR energies were calculated accordingly and compared to that of 6 months outdoor exposure. It was found that if TUVR of both types of ageing is to be directly compared, accelerated ageing should be carried out at temperatures of 32-36 degrees C. Under such conditions, the same amount of TUVR energy induces the same extent of polymer deterioration in both types of ageing and may, therefore, be used for a reliable service life-time prediction. (c) 2014 Elsevier Ltd. All rights reserved.
Keywords
UV; Accelerated ageing; Weathering; Outdoor exposure; Radiant energy; Degradation; Carbonyl index; Polypropylene; Temperature; Copolymer; Life-time prediction
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