Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Medžiagotyraarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Medžiagotyra
Article . 2022 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Medžiagotyra
Article . 2022
Data sources: DOAJ
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Quantifying and Predicting Tensile Properties of Curcuma longa-silicone Biocomposite

Authors: Nurrul Amilin ZAINAL ABIDIN; Nasyitah OTHMAN; Akid Hilmi ZULKEFLI; Jamaluddin MAHMUD;

Quantifying and Predicting Tensile Properties of Curcuma longa-silicone Biocomposite

Abstract

This study was carried out to introduce newly developed silicone-biocomposite materials, of Curcuma longa-silicone biocomposite; and assess its tensile properties of using the Neo-Hookean hyperelastic constitutive equation. The specimens were prepared from the mix of Curcuma longa fiber and pure silicone at various fiber composition (0 wt.%, 4 wt.%, 8 wt.%, and 12 wt.%). A uniaxial tensile test was carried out by adopting the ASTM D412 testing standard. The Neo-Hookean model was employed to obtain the material constant, C1 value. Results obtained indicate that the incorporation of Curcuma longa fiber improves the stiffness of the silicone biocomposite as can be seen from the increase of the tensile modulus, while marginally decreasing its tensile strength. The material elastic constant, C1 of silicone reinforced with Curcuma longa was then predicted by using Artificial Neural Network (ANN). The regression coefficients obtained by training the neural network are satisfactory, therefore the neural network can be used for predicting the material constant, C1 of the silicone biocomposite. The prediction of ANN generates a better correlation if there are more data set and can be a good fit for predicting the unknown value.

Keywords

Mining engineering. Metallurgy, TN1-997, hyperelastic, curcuma longa-silicone biocomposite, artificial neural network, neo-hookean model

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold