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Mechanics of Composite Materials

, Volume 30, Issue 3, pp 210–221 | Cite as

Multifibre polymer composites: Prediction of deformation and thermophysical properties

  • V. A. Kochetkov
  • R. D. Maksimov
Article

Conclusions

A theoretical and experimental investigation was carried out to examine the possibilities of a structural approach for prediction of elastic constants, creep functions and thermophysical characteristics of hybrid polymer composites reinforced with anisotropic fibres of several types. The theoretical solutions were obtained by generalizing the self-consistent method for the case of a three phase model. The effects of brittle fibre breakdown under tension in the direction of reinforcement of a unidirectional hybrid composite were studied under conditions of a short-term loading and a long-term creep. It has been shown that a creep of viscoelastic fibres plays a principal role in creep of the hybrid composite. It is just this creep that significantly increases the fibre damage during creep of the composite.

A variant of the solution has been proposed for predicting the thermorheologically complex behavior of hybrid composites containing not only elastic but also viscoelastic thermorheologically simple components with different temperature-time shift factors. The peculiarities of thermal expansion of hybrid composites and the possibilities for a purposeful control of thermal expansion coefficients by hybridization were studied. The considered thermal interval included a region of transition of the polymer matrix from a glass state into a viscoelastic one.

The control tests were performed for specimens of organic/glass, organic/carbon, glass/carbon and organic/boron polymer composites with different ratios of fibre volume contents. On the whole, the obtained accuracy of predicting the characteristics of the examined hybrid composites may be considered as acceptable for engineering applications.

Keywords

Polymer Composite Hybrid Composite Shift Factor Hybrid Polymer Creep Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Publishing Corporation 1994

Authors and Affiliations

  • V. A. Kochetkov
    • 1
    • 2
  • R. D. Maksimov
    • 1
    • 2
  1. 1.Department of Engineering Mechanics and ElectricityIberoamerican UniversityMexicoMexico
  2. 2.Institute of Polymer MechanicsLatvian Academy of ScienceRigaLatvia

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