4.7 Article

A numerical study of thermal degradation of polymers: Surface and in-depth absorption

Journal

APPLIED THERMAL ENGINEERING
Volume 106, Issue -, Pages 1366-1379

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2016.06.114

Keywords

Thermal degradation; Polymers; Surface absorption; In-depth absorption

Funding

  1. National Natural Science Foundation of China [51506081, 51476075, 21436006]
  2. Natural Science Foundation of Jiangsu Province, China [BK20150954]
  3. Open Fund of the State Key Laboratory of Fire Science (SKLFS) Program [HZ2015-KF09]
  4. National Key Basic Research Program of China (973 program) [2012CB719704]
  5. University of New Haven faculty research grant

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A one-dimension numerical model is developed in this study to investigate numerically the absorption effect, including surface and in-depth absorption, on thermal degradation process that occurs in polymer gasification. Surface and in-depth absorption hypotheses, most commonly used in literatures and their effect on the simulation results are discussed. Three polymers are selected to conduct the simulation: Poly(methyl Methacrylate) (clear PMMA), High Impact Polystyrene (HIPS) and Poly(acrylonitrile Butadiene Styrene) (ABS). The availability of the developed model is verified by the published experimental data. The result indicates that large temperature gradient exists in the heat penetration layer for surface absorption, and in-depth absorption leads to a relatively uniform temperature distribution in this layer. Top surface temperature increases with increasing heat flux (HF) and higher value is observed for surface absorption than that of in-depth absorption. The model overestimates the mass loss rate of ABS at low HF due to the negligence of existence of a thin char layer generated on the surface of sample which cracks immediately after generation under high HF. Good agreement between the numerical and experimental results of polymers suggests that both assumptions are acceptable in modeling bench scale tests. (C) 2016 Elsevier Ltd. All rights reserved.

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