Hdpe/tio2 nanocomposite: Fabrication and optimization of mechanical property by rsm and ann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Polymeric nanocomposites have proven to be excellent candidate as biomaterials. However, materials and approaches used to improve the mechanical property of the polymer are still under scrutiny. In this study, improvement of mechanical property upon addition of nano-titanium oxide (n-TiO2 ), cellulose nanocrystal (CNC) and two different types of coupling agent was analyzed. Influence of the individual factors and its interaction with tensile strength was evaluated using analysis of variance. From the analyses of main effect and interaction effects, it could be concluded that n-TiO2 and CNC have major influence on the improving mechanical properties. Moreover, the coupling agent and compatibilizing agent did not have considerable effect on the mechanical properties. The central composite design was used to evaluate the best combination of n-TiO2 and CNC to be experimented. The responses were modeled and optimized using response surface methodology (RSM) and artificial neural network (ANN). The predicted data was in agreement with the experimental data. The modeling accuracy and efficiency is evaluated based on regression coefficient (R square value). Both the method had recommendable R square value. However, the R square value of the Artificial neural network (R2 >95%) was higher than Response surface methodology (R2 >70 %).

Original languageEnglish
Title of host publicationManufacturing Sciences and Technologies IX
EditorsSujan Debnath
PublisherTrans Tech Publications Ltd
Pages54-58
Number of pages5
ISBN (Electronic)9783035713886
DOIs
Publication statusPublished - 2019
Event9th International Conference on Manufacturing Science and Technology, ICMST 2018 - Kuala Lumpur, Malaysia
Duration: Aug 11 2018Aug 13 2018

Publication series

NameSolid State Phenomena
Volume287
ISSN (Print)1012-0394
ISSN (Electronic)1662-9779

Conference

Conference9th International Conference on Manufacturing Science and Technology, ICMST 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/11/188/13/18

Keywords

  • ANOVA
  • And artificial neural network
  • Cellulose nanocrystals
  • High-density polyethylene
  • Response surface methodology

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Materials Science
  • Condensed Matter Physics

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