No abstract

No abstract

Drilling is most widely applied to composite materials; nevertheless, the damage induced by this operation may reduce drastically the component performance. A comparison between the proposed refined delamination factor (F DR ) along with the conventional (F D ) and adjusted (F DA ) delamination factor is presented. The accuracy of the proposed criteria is validated using experimental results and analysis of variance (ANOVA) approach. It was found that the refined delamination factor works efficiently in the characterization of delamination failure.

Particle filled polymer composites are widely used because of its tailor-made properties and ease of manufacturability. Existing micro mechanical models to characterize heterogeneous material are based on the Representative Volume Element (RVE). The assumptions made in the RVE model, play a crucial role in the exact prediction of effective properties of the composites. In this work, microstructure based RVE is utilized to predict the effective properties of Solid Glass Microsphere (SGM) filled epoxy composite. The Scanning Electron Microscope (SEM) image obtained from the specimens fabricated at different loading fractions is processed in MATLAB. Canny edge detection algorithm is utilized for processing the images. The random dispersion of the particle is exactly modeled in ANSYS from the MATLAB output. The effective Young’s modulus of the SGM filled epoxy composite is determined. The numerically predicted values are compared with the experimental value and analytical models.