A level set based immersed boundary method for simulation of non-isothermal viscoelastic melt filling process
Fluid Dynamics and Transport Phenomena|Updated:2026-01-06
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A level set based immersed boundary method for simulation of non-isothermal viscoelastic melt filling process
Chinese Journal of Chemical EngineeringVol. 32, Issue 4, Pages: 119-133(2021)
Affiliations:
School of Mathematics and Information Science, Henan Polytechnic University,Jiaozuo,China,454003
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Published:2021
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Qiang Li, Fangcao Qu. A level set based immersed boundary method for simulation of non-isothermal viscoelastic melt filling process[J]. Chinese Journal of Chemical Engineering, 2021, 32(4): 119-133.
DOI:
Qiang Li, Fangcao Qu. A level set based immersed boundary method for simulation of non-isothermal viscoelastic melt filling process[J]. Chinese Journal of Chemical Engineering, 2021, 32(4): 119-133.DOI:
A level set based immersed boundary method for simulation of non-isothermal viscoelastic melt filling process
摘要
Abstract
In this work
the polymer melt filling process is simulated by using a coupled finite volume and level-set based immersed boundary (LS-IB) method. Firstly
based on a shape level set (LS) function to represent the mold boundary
a LS-IB method is developed to model the complex mold walls. Then the nonisothermal melt filling process is simulated based on non-Newtonian viscoelastic equations with different Reynolds numbers in a circular cavity with a solid core
and the effects of Reynolds number on the flow patterns of polymer melt are presented and compared with each other. And then for a true polymer melt with a small Reynolds number that varies with melt viscosity
the moving interface
the temperature distributions and the molecular deformation are shown and analyzed in detail. At last
as a commonly used application case
a socket cavity with seven inserts is investigated. The corresponding physical quantities
such as the melt velocity
molecular deformation
normal stresses
first normal stress difference
temperature distributions and frozen layer are analyzed and discussed. The results could provide some predictions and guidance for the polymer processing industry.
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