Improving tensile strength of an injection-molded biocompatible thermoplastic elastomer

Mauro Fittipaldi, Luis A. Rodriguez, Alexandra Damley-Strnad, Landon R Grace

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Poly(styrene-block-isobutylene-block-styrene) (SIBS) is a thermoplastic elastomer often used in implantable structures due to its exceptional biocompatibility. However, because overall performance is extremely sensitive to fabrication conditions, optimal processing of the raw material remains a challenge. In this study, the Taguchi method is proposed for characterization of the effect of injection molding parameters on the ultimate tensile strength of a SIBS block copolymer. An L<inf>9</inf> orthogonal array is used with three factor levels for nozzle temperature, mold temperature, packing time and injection speed. Analysis indicates that mold temperature has the least effect on tensile strength, and injection speed the greatest effect. A response surface methodology (RSM) design and an artificial neural network (ANN) were used to model tensile strength based on processing parameters. Both methods proved successful in predicting tensile strength with errors of 3% and 2.55% for RSM and ANN, respectively. Optimized validation samples showed ultimate tensile strengths of 17.7MPa, which is an improvement of almost 40% over reported strengths for the same material. The results presented here are expected to expand the use of SIBS into new applications requiring improved mechanical properties, without sacrificing biocompatibility via the addition of fiber or particle reinforcement.

Original languageEnglish (US)
Pages (from-to)6-13
Number of pages8
JournalMaterials and Design
Volume86
DOIs
StatePublished - Dec 5 2015

Keywords

  • ANN
  • Injection molding optimization
  • RSM
  • SIBS
  • Taguchi

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)

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