Modelling for Predicting and Optimizing of the Tensile and Flexural Properties of Sisal/Carbon Fibre Nano-Composite through RSM

The purpose of this study was to examine the impact of fibre orientation on the tensile and flexural strength of composites composed of sisal and carbon fibres, with fibre orientation of 10, 25, and 40°. Furthermore, the research sought to ascertain the optimal parameters for the therapeutic procedure. Response Surface Methodology (RSM) with Central Composite Design (CCD) was utilized to develop and analyze the experiments. The main objective was to optimize crucial elements such as, fibre orientation and the composition of sisal and carbon fibres. This methodology was utilized to construct quadratic models for forecasting the tensile and flexural strength of the composites. The optimal parameters are 60° orientation and a composition of 40% of each fibre. Under these circumstances, the composite exhibited a 34.27% increase in tensile strength and a 22.76% increase in flexural strength when compared to the minimum values obtained from RSM optimization. The notable enhancement demonstrates that the fibre orientation can effectively increase the tensile and flexural strength, as well as improve the adhesion between natural fibres and polymer matrices.

Authors

Publication Details

Journal
Journal of Environmental Nanotechnology
Published
2024-10-13
DOI
https://doi.org/10.13074/jent.2024.09.242674
Citations
4
Primary Topic
Fiber-reinforced polymer composites
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling for Predicting and Optimizing of the Tensile and Flexural Properties of Sisal/Carbon Fibre Nano-Composite through RSM

Saravanan Kothandaraman, N. Arunachalam, Pathki Uma, K. Saravanan et al.
4 citations
Journal of Environmental Nanotechnology
Fiber-reinforced polymer composites
0.85
article

Modelling for Predicting and Optimizing of the Tensile and Flexural Properties of Sisal/Carbon Fibre Nano-Composite through RSM

Saravanan Kothandaraman, N. Arunachalam, Pathki Uma, K. Saravanan, J. Arunachalam
article en
4 citations

Abstract

The purpose of this study was to examine the impact of fibre orientation on the tensile and flexural strength of composites composed of sisal and carbon fibres, with fibre orientation of 10, 25, and 40°. Furthermore, the research sought to ascertain the optimal parameters for the therapeutic procedure. Response Surface Methodology (RSM) with Central Composite Design (CCD) was utilized to develop and analyze the experiments. The main objective was to optimize crucial elements such as, fibre orientation and the composition of sisal and carbon fibres. This methodology was utilized to construct quadratic models for forecasting the tensile and flexural strength of the composites. The optimal parameters are 60° orientation and a composition of 40% of each fibre. Under these circumstances, the composite exhibited a 34.27% increase in tensile strength and a 22.76% increase in flexural strength when compared to the minimum values obtained from RSM optimization. The notable enhancement demonstrates that the fibre orientation can effectively increase the tensile and flexural strength, as well as improve the adhesion between natural fibres and polymer matrices.

Journal of Environmental NanotechnologyVol. 13(3)
Openalex Percentile: Top 30%
Fiber-reinforced polymer composites
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modelling for Predicting and Optimizing of the Tensile and Flexural Properties of Sisal/Carbon Fibre Nano-Composite through RSM — Saravanan Kothandaraman, N. Arunachalam, et al. · Journal of Environmental Nanotechnology (2024) | TGRS Research Map | TGRS