Fibre Chemistry

, Volume 27, Issue 2, pp 125–129 | Cite as

Monitoring and control of fabrication of fibres from a polymer melt based on the fiber temperature (review)

  • I. D. Pupyshev
  • A. Yu. Dvilis
Production Control


The literature on use of the “fibre temperature” parameter for monitoring and control of fabrication of fibres from a polymer melt, in particular, cooling of the spun fibre and thermoplasticization drawing, was reviewed. A thin jet of air passed through the bundle of spun fibres has effective characteristics which can be used to monitor and control the fibre cooling conditions, to increase the intensity of cooling of the fibre, and to improve the fibre quality indexes. The efficiency of controlling fibre drawing with the Amur system increases if the temperature of the fibre at the outlet of the thermoplasticizer is measured instead of the thermoplasticizer temperature. A direct regulator using a bimetallic plate can be used instead of the Amur system; this allows increasing the stability of the fibre temperature during drawing by 3–5 times. The characteristic sections of deviation of the fibre temperature during spinning and the increase in its temperature during cold drawing bear information on the process and fibre parameters, but require additional studies to determine the important parameters and their correlations. The informativeness of the “fibre temperature” parameter increases if it is examined in association with the other properties of the fibre and the operating parameters of the process. A realization algorithm is possible in terms of the sign of the deviation of the properties of the fibres and the parameters of the process. Most technical solutions can be implemented with standard thermistors and thermocouples. The proposed information can be used by specialists in chemical fibres for automatic monitoring and control, optimization of the process, and improvement of the equipment.


Quality Index Cool Condition Direct Regulator Fibre Quality Effective Characteristic 
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.


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Copyright information

© Plenum Publishing Corporation 1995

Authors and Affiliations

  • I. D. Pupyshev
  • A. Yu. Dvilis

There are no affiliations available

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