Improving Mechanical Properties of Recycled Polypropylene-based Composites Using TAGuchi and ANOVA Techniques

Yitao Zheng, Fu GU, Yanru Ren, Philip Hall, Nicholas J. Miles

Research output: Journal PublicationConference articlepeer-review

14 Citations (Scopus)
2 Downloads (Pure)

Abstract

This study was aimed at optimising the composition of recycled plastic based composite for improving mechanical performance. The fractions of virgin polypropylene (vPP), talcum powder (talc) and maleic anhydride grafted polypropylene (MAPP) were selected as controllable factors. Taguchi L9 (33) orthogonal array (OA) was applied as an experimental design tool. Compositions were prepared by extrusion and injection moulding. The performance was measured and expressed in signal to noise (S/N) ratio. The S/N ratios were investigated by the Taguchi coupled analysis of variance (ANOVA) to determine optimal condition. The effectiveness and efficiency of the proposed approach was demonstrated through confirmation tests.

Original languageEnglish
Pages (from-to)287-292
Number of pages6
JournalProcedia CIRP
Volume61
DOIs
Publication statusPublished - 2017
Event24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan
Duration: 8 Mar 201710 Mar 2017

Keywords

  • Analysis of variation
  • Mechanical property
  • Recycled polypropylene
  • Signal to noise ratio
  • Taguchi method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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