Effect of varied fiber alkali treatments on the tensile strength of Ampelocissus cavicaulis reinforced polyester composites: Prediction, optimization, uncertainty and sensitivity analysis
| Autor: | Olusegun Abayomi Olalere, E. O. Oke, Seun Oyelami, Abiola John Adeyi, Oladayo Adeyi, Akinola David Ogunsola |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oracle crystal ball
Materials science Coefficient of determination Uncertainty and sensitivity analysis Polymers and Plastics Ampelocissus cavicaulis Materials Science (miscellaneous) Multigene genetic programming Alkali metal Industrial and Manufacturing Engineering lcsh:TP1080-1185 chemistry.chemical_compound chemistry Response surface methodology lcsh:Polymers and polymer manufacture Sodium hydroxide lcsh:TA1-2040 Ultimate tensile strength Chemical Engineering (miscellaneous) Fiber Sensitivity (control systems) Composite material lcsh:Engineering (General). Civil engineering (General) Natural fiber |
| Zdroj: | Advanced Industrial and Engineering Polymer Research, Vol 4, Iss 1, Pp 29-40 (2021) |
| ISSN: | 2542-5048 |
| Popis: | Studies on modeling and optimization of alkali treatment, investigation of experimental uncertainty and sensitivity analysis of alkali treatment factors of natural fibers are important to effective natural fiber reinforced polymer composite development. In this contribution, response surface methodology (RSM) was employed to investigate and optimize the effect of varied treatment factors (sodium hydroxide concentration (NaOH) and soaking time (ST)) of the alkali treatment of Ampelocissus cavicaulis natural fiber (ACNF) on the tensile strength (TS) of alkali treated ACNF reinforced polyester composite. RSM and multi gene genetic programming (MGGP) were comparatively employed to model the alkali treatment. The best model was applied in Oracle Crystal Ball (OCB) to investigate the uncertainty of the treatment results and sensitivity of the treatment factors. Results showed that increased NaOH and ST increased the TS of the alkali treated ACNF reinforced polyester composite up to 28.3500 MPa before TS decreased. The coefficient of determination (R2) and root mean square error (RMSE) of RSM model were 0.8920 and 0.6528 while that of MGGP were 0.9144 and 0.5812. The optimum alkali treatment established by RSM was 6.23% of NaOH at 41.99 h of ST to give a TS of 28.1800 MPa with a desirability of 0.9700. The TS of the validated optimum alkali treatment condition was 28.2200 MPa. The certainty of the experimental results was 71.2580%. TS was 13.8000% sensitive to NaOH and 86.2000% sensitive to ST. This work is useful for effective polymer composite materials production to reduce the enormous material and energy losses that usually accompany the process. |
| Databáze: | OpenAIRE |
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