Optimization of injection molding process conditions while manufacturing HDPE/TiO2 nano-composites

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

Abstract

This study presents the optimization of the injection molding process parameters during fabrication of titanium dioxide enriched high density polyethylene (HDPE-TiO2) nanocomposites. The mechanical properties of the nanocomposites including yield strength, Young's modulus and elongation were selected as the performance targets. Experimental runs were carried out based on the L4 Taguchi orthogonal array. Operating conditions such as barrel temperature, residence time and injection time were optimized using Grey relational analysis in which the degree of influence of each control factor was determined by the grey relational grade. The optimal process parameters were found 200°C - 50 min- 20 s on the basis of highest grade.

Original languageEnglish
Title of host publicationProceedings - AES-ATEMA 2016
Subtitle of host publicationInternational Conference Series - TORONTO 2016 AES-ATEMA 29th International Conference
EditorsYehia M. Haddad
PublisherAdvanced Engineering Solutions
Pages133-139
Number of pages7
ISBN (Electronic)9781927838280
Publication statusPublished - 2016
Event29th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA TORONTO 2016 - Toronto, Canada
Duration: Jul 4 2016Jul 8 2016

Publication series

NameAES-ATEMA International Conference Series - Advances and Trends in Engineering Materials and their Applications
ISSN (Print)1924-3642

Other

Other29th International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA TORONTO 2016
Country/TerritoryCanada
CityToronto
Period7/4/167/8/16

ASJC Scopus subject areas

  • Mechanics of Materials
  • General Materials Science

Fingerprint

Dive into the research topics of 'Optimization of injection molding process conditions while manufacturing HDPE/TiO2 nano-composites'. Together they form a unique fingerprint.

Cite this