Low thermal cycling effects on mechanical properties of laminated composite materials

•Laminated composite materials subjected to low thermal cycling are investigated.•The mechanical properties of LCMs are obtained after the thermal cycling load.•Stacking sequence and the fiber volume fraction are the main factors for the LTC.•The [0]8 layups is strongest than the other layups under...

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Veröffentlicht in:Mechanics of materials 2016-05, Vol.96, p.126-137
Hauptverfasser: Ghasemi, A.R., Moradi, M.
Format: Artikel
Sprache:eng
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Zusammenfassung:•Laminated composite materials subjected to low thermal cycling are investigated.•The mechanical properties of LCMs are obtained after the thermal cycling load.•Stacking sequence and the fiber volume fraction are the main factors for the LTC.•The [0]8 layups is strongest than the other layups under the LTC loading. Degradation of mechanical properties by thermal cycling can be an important reason which accelerates failure of polymer matrix composites (PMCs). Different parameters affect the mechanical properties of the PMCs during the thermal cycling. So, a comprehensive experimental analysis to find main effective factors and contribution of the factors is essential. In this article, Taguchi method is used to design experiment and find contributions of four effective parameters on glass/epoxy composite components subjected to the thermal cycling. These parameters are temperature difference, composite layups, fiber volume fraction and number of thermal cycles that are selected among the different parameters. For thermal cycling tests, an apparatus is developed to subject samples on different temperature cycle profiles. The mechanical properties of specimens are obtained using the tensile test after the thermal cycling load. Statistical analysis of the experimental results showed the stacking sequence and the fiber volume fraction were the main factors to control the thermal cycling effects. Also, a regression analysis was developed for modeling the mechanical properties using the effective factors. Finally, sensitivity analysis of the effective factors was studied to describe the relationship between these parameters.
ISSN:0167-6636
1872-7743
DOI:10.1016/j.mechmat.2016.01.012