Length-scale dependence of variability in epoxy modulus extracted from composite prepreg |
| |
| Affiliation: | 1. University of Twente, Faculty of Engineering Technology, NL-7500AE Enschede, The Netherlands;2. Technical University of Denmark, Mechanical Engineering Department, 2800 Kgs. Lyngby, Denmark;1. Faculty of Engineering Technology, University of Twente, 7500AE Enschede, The Netherlands;2. KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, B-3001 Leuven, Belgium;1. Materials Research and Technology Department, Luxembourg Institute of Science and Technology, 41, rue du Brill, L-4422 Belvaux, Luxembourg;2. Equipe de Recherche en Science de l’Ingénieur, Ecole Nationale Supérieure d’Ingénieurs, Universitéde Lomé, BP. 1515, Lomé, Togo;3. Purdue University, West Lafayette, IN 47907-2045, USA;1. University of Twente, Faculty of Engineering Technology, NL-7500AE Enschede, The Netherlands;2. Department of Mechanical Engineering, Bogazici University, Bebek, 34342 Istanbul, Turkey;3. Department of Engineering, Design, and Mathematics, University of the West of England, BS16 1QY Bristol, United Kingdom |
| |
| Abstract: | ![]()
Property variability in conjunction with morphological variability are important sources of uncertainty in composite modeling. While image processing of experimental microstructures has enabled accurate quantification of morphological variability, the characterization of material variability is not as well established. In this study, the local material properties of epoxy extracted from a prepreg sheet was determined using nanoindentation with a spherical indenter tip with a radius of 50 μm. Indentations were carried out at four different indentation depths to evaluate the change in the variability of epoxy modulus with the sampling volume. For each length scale studied, 40 indentations were carried out to determine the variability in epoxy modulus. A significant decrease was observed in the coefficient of variation as the indentation depth increased. The corresponding modulus distributions were quantified. The results suggest that, similar to morphological variability, material variability is length-scale dependent and the appropriate variability associated with the selected length scale must be considered for stochastic modeling of composite structures. |
| |
| Keywords: | Polymer matrix composites (PMCs) Mechanical properties Statistical properties Microstructural analysis |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
