Processing, structure, and mechanical properties of as-spun polypropylene filaments - A systematic approach using factorial design and statistical analysis

Ruodan Yang, Robert R. Mather, Alex F. Fotheringham

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Polypropylene filaments spun under a factorial experimental design were characterized with respect to filament tenacity, elongation, and specific secant modulus. These quantities were assessed quantitatively as responses to seven selected processing parameters using standard statistical methods. It was found that among all the significant factors identified, the draw-down ratio, which combines metering pump speed (MPS) and filament winding speed (WS), exerts the most significant effects on all the three responses. The grade of polypropylene used, as denoted by its melt flow index (MPI), also significantly influences tenacity and modulus. Spinning temperature, too, influences modulus. In addition, the significant influence of two interaction effects, MPS*WS and MFI*WS, is demonstrated. A further feature of the study is systematic correlation of physical properties with microscopic structure as well as processing conditions. The study has demonstrated that the statistical approach to the development of fiber process technology has the advantages of a one-step overall design, considerably reduced experimental size, and systematic analysis leading to concise models with known levels of confidence. © 2005 Wiley Periodicals, Inc.

Original languageEnglish
Pages (from-to)144-154
Number of pages11
JournalJournal of Applied Polymer Science
Volume96
Issue number1
DOIs
Publication statusPublished - 5 Apr 2005

Keywords

  • Factorial experimental design
  • Filament mechanical properties
  • Filament structural properties
  • Polypropylene
  • Statistical analysis

Fingerprint

Dive into the research topics of 'Processing, structure, and mechanical properties of as-spun polypropylene filaments - A systematic approach using factorial design and statistical analysis'. Together they form a unique fingerprint.

Cite this