Mohammed, Brusk and Abdullah, Mohammed and Abdulfatah, Mohammed (2018) Optimization of Green Composites for Automotive Applications Using a Hybrid Statistical and Computational Approach. Diploma thesis, Koya University.
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Abstract
The development of material is leading to utilize polymer instead of other material due to low cost of processing and recycling and easy to derivation, but now a day most of research led attention for using polymers due to contaminating the environment because of green composite material manufactured by natural fiber in this project banana and jute combined to create hybrid fiber. Bamboo fiber reinforced with polyester matrix to improve mechanical properties. Delamination is common issue that focused by many researcher while preferring drilling as machining operation, result indicate that critical parameter were(Cutting speed, feed rate, diameter of cutting tool), delamination can be decreased by distinguishing a proper cutting condition, study of this research is showing that optimization of Maximum load carrying by Fuzzy and Topsis method, the input of this two method is(CNSL matrix, fiber length, Volume fraction) to optimizing(Thrust force, torque, Surface roughness, material removal rate, s plus, s minuses, closeness coefficient, S/N Ratio) then determining ideal best and ideal worst of them to optimize maximum load carrying capacity, the characteristic of composite material will be distinguished by how to behave while machining.
| Item Type: | Thesis (Diploma) |
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| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Depositing User: | Dr. Rastee Ali |
| Date Deposited: | 17 Feb 2019 19:38 |
| Last Modified: | 17 Feb 2019 19:38 |
| URI: | http://eprints.koyauniversity.org/id/eprint/151 |
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