Journal of Materials Science

, Volume 26, Issue 16, pp 4288–4292 | Cite as

Characterization of molecular orientation by differential scanning calorimetry

Part III Injection blow moulding of polystyrene
  • M. G. Rogers


Differential scanning calorimetry was used to study part quality from an injection blow moulding machine producing polystyrene thin-walled containers. Cavity-to-cavity, within cavity and shot-to-shot problems were detected. Multiple relaxation peaks observed in the temperature range Tg-TLL had the relationship Tj=1.02 Ti K, for TLL⩾Tj> Ti⩾ Tg and (j−i)=1. Based on some simple assumptions, a model was developed that allowed the multiple peaks be resolved between the injection moulding and blowing steps of the process and into a three-dimensional array.


Polymer Differential Scanning Calorimetry Polystyrene Calorimetry Molecular Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    M. G. Rogers, J. Mater. Sci. 26 (1991) 4281.CrossRefGoogle Scholar
  2. 2.
    Idem., ibid. 26 (1991) 4285.CrossRefGoogle Scholar
  3. 3.
    T. Thomas and J. W. West, US Pat. 4 540 543, 10 September 1985.Google Scholar
  4. 4.
    B. Hammond, R. A. Bubeck and D. F. R. Milder, Polymer 27 (1986) 393.CrossRefGoogle Scholar
  5. 5.
    F. Boue, M. Nierlich, G. Jannink and R. Ball, J. Phys. 43 (1982) 137.CrossRefGoogle Scholar
  6. 6.
    T. Kato and N. Yanagihara, J. Appl. Polym. Sci. 26 (1981) 2139.CrossRefGoogle Scholar
  7. 7.
    S. Krimm, J. Phys. Chem. 57 (1953) 22.CrossRefGoogle Scholar
  8. 8.
    R. F. Boyer, “Polymer Yearbook”, Vol. 2, edited by R. A. Petrick (Harwood Academic, New York, 1985) p. 232.Google Scholar

Copyright information

© Chapman & Hall 1991

Authors and Affiliations

  • M. G. Rogers
    • 1
  1. 1.Research and Development LaboratoryDow Chemical Canada Inc.SarniaCanada

Personalised recommendations