Micromechanics-based approach for the effective estimation of the elastic properties of fiber-reinforced polymer matrix composite
| Autor: | D.N. Pawar, A.S. Adkine, V.S. Kathavate |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Materials science
Polymers and Plastics Composite number Micromechanics 02 engineering and technology Fibre-reinforced plastic 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Matrix (mathematics) 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Volume fraction Ceramics and Composites Fiber Composite material 0210 nano-technology |
| Zdroj: | Journal of Micromechanics and Molecular Physics. :1950005 |
| ISSN: | 2424-9149 2424-9130 |
| Popis: | In this paper, we proposed a revised Mori–Tanaka model for the effective estimation of the elastic properties at lower fiber volume fraction. A review of some notable micromechanics-based models with the theories proposed by Voigt and Reuss, Hashin–Shtrikman model, Mori–Tanaka method and dilute dispersion scheme is carried out, and a critique is presented focusing on the limitations of these models. Finite Element (FE) simulations are performed using Representative Volume Element (RVE) technique to rationalize the analytical results. Our results revealed that revised Mori–Tanaka estimates and FE predictions are in agreement. Elastic properties of the test material are dependent on size of RVE suggesting the effective elastic modulus evaluated using RVE forms the lower bounds of true effective values. However, we still believe that there is room for the debate for evaluating the elastic properties of these composites at larger volume fractions with the inclusion of Eshelby’s tensor in Mori–Tanaka scheme. Thus the efficacy of micromechanics-based models for the effective estimation of elastic properties of polymer matrix composites is highlighted. Our findings may provide new significant insights of the effective estimation of elastic properties of PMC using micromechanics-based approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|