| Grant number: | 15/19967-4 |
| Support Opportunities: | Scholarships in Brazil - Master |
| Start date: | July 01, 2016 |
| End date: | July 31, 2017 |
| Field of knowledge: | Engineering - Aerospace Engineering |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Maria Odila Hilário Cioffi |
| Grantee: | Francisco Maciel Monticeli |
| Host Institution: | Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil |
Abstract With Industries development and modernization of aeronautical sector, composites have become widely used as a result of constant search for materials with specific properties as higher mechanical/lightness. The resin transfer molding (RTM) is a process that has a high efficacy to obtaining advanced composites with the required characteristics for aeronautical use. This study will be based on hybrid composite (carbon and glass fiber/epoxy resin), processed by RTM, and the material characterization to know the synergistic effect on its properties. This research has the objective to study the void volume fraction between carbon, glass and hybrid composites to understand the fabric variation relation with the resin adherence and the void formation. The great importance of porosity analysis is the significant effects that voids causes in the structure, which may reproduce failures in the material. Another important aspect in this project is the analysis of the size distribution and the volume fraction of voids by mercury porosimetry technique, compared to results found by acid digestion technique adding the results of characterization by optical microscopy (materialography). The analysis void fraction by Hg porosimetry is a new technique for structural composites, being able to provide data as a fraction of open pores and the void size distribution. The read parameters of void will be varied to determine the best routine analysis, using Taguchi method, and then the statistical analysis of variance (ANOVA) and the signal / noise influence to result in the best analysis void fraction method of Hg porosimetry. (AU) | |
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