Using of tire and EPDM rubber wastes in composite materials
2019
0 views
0 downloads
Advisor: Prof. Dr. Gülnare Ahmetli
Abstract (EN)
In this study, waste rubber powder (LA) and EPDM rubber powder (EPDM) obtained from 4 different waste tires (car, tractor, bus, truck) were selected as filling material in epoxy resin. In this study, 3 types of epoxy resins: NPER 450 (modified with rubber), NPEK 114 (bisphenol-A), NPER 133L (modified with polyurethane) 1: 1 mixtures were used as matrix. LA and EPDM were added to the epoxy resin at a rate of 10-50% by mass, and the effect of the amount of filler and the type of epoxy resin on the composite properties was investigated. The morphology and structure of the composites were characterized by Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD). Mechanical properties (tensile strength, tensile elongation, modulus of elasticity and hardness) of composites were determined. Mechanical and thermal properties of LA composites were higher than EPDM composites. In resin mixes, the best results were obtained with NPER 133L-NPEK 114. The most suitable filler ratio for EPDM was 20% and for LA 30%.
Author
Dr. Merve Türkben
How to Cite
Merve Türkben (Master Thesis). Using of tire and EPDM rubber wastes in composite materials, 2019, Konya Technical University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Konya Technical University
- Numerical and experimental in vestigation of optimization of Pelton turbine rotor design parameters in micro turbine size(2018)
- Comparison of some manufacturing costs according to various analysis parameters and other regulations of reinforced concrete structures with different floor systems(2018)
- The use of silica fume in self-compacting concretes affects the concrete compressive strength and adherence(2018)
- Load-bearing carrier system properties in the historical buildings repair and strengthening techniques for damages model analysis of Zenburi masjid(2018)
- Lateral rigidity improvement of deficient reinforced concrete structures with the use of user friendly systems(2018)
- Application of artificial intelligence methods to estimate monthly pan evaporation using meteorological data(2018)
