Effects of gas-assisted technology on polymer micro coextrusion
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Xiaozhen Deng
,
Bing Xiao
Abstract
In this paper, a three-dimensional viscoelastic flow model of double-layer micro coextrusion with circular cross-section was established. The simulations were carried out by the finite element method and the influence of wall slip coefficient on micro coextrusion was studied. The results show that gas-assisted technology is suitable for polymer micro coextrusion forming. The differences between the gas-assisted and conventional micro coextrusion process were compared by analyzing the distribution of melts velocity, pressure, shear rate and first normal stress difference. The research results show that in the conventional micro coextrusion process there are pressure drop, shear rate, first normal stress difference and secondary flow. And there is a gradient distribution of melts velocity. The die swell and deformation vary with the forming process parameters, and it is difficult to control the product quality. But in the gas-assisted micro coextrusion process, there is no pressure drop, shear rate, first normal stress difference and secondary flow. The velocity of polymer melts is evenly distributed and the melts are extruded in a plunger shape. The melts do not swell and deform and it is independent of forming process parameters. It is easy to ensure the products quality and the inherent problems of polymer conventional micro coextrusion are well solved.
Funding source: The National Natural Science Foundation of China
Award Identifier / Grant number: 51763011
Funding source: The Open Project Fund of Key Laboratory for Optoelectronics and Communication of Jiangxi Province
Award Identifier / Grant number: 20202OEC001
Funding source: The Natural Science Foundation of Jiangxi Province
Award Identifier / Grant number: 20202BABL204025
Funding source: The Science Funding in the Education Department of Jiangxi province
Award Identifier / Grant number: GJJ201929，GJJ190950
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This study was financially supported by the Natural Science Foundation of Jiangxi Province (no. 20202BABL204025), the Open Project Fund of Key Laboratory for Optoelectronics and Communication of Jiangxi Province (no. 20202OEC001), the Science Funding in the Education Department of Jiangxi province (no. GJJ201929, GJJ190950) and the National Natural Science Foundation of China (no. 51763011).
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Conflict of interest statement: The authors declare that they have no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
- Material Properties
- Thermodynamic behavior and crystal structure of polypropylene treated with supercritical carbon dioxide
- Investigation of conductivity, SEM, XRD studies of Mg2+ ion based TiO2 nanocomposite PVDF-HFP polymer electrolyte and application in a dye sensitized solar cell
- Computational prediction of electrical percolation threshold in polymer/graphene-based nanocomposites with finite element method
- Influence mechanisms of 2-amino-1,3,5-triazine-4,6-dithiol coating on adhesion properties of polybutylene terephthalate/aluminum interface in nano-injection molding
- Effects of enzyme-assisted ultrasonic treatment to the properties of nanofibrils isolated from wheat straw
- Preparation and Assembly
- Solution blow spinning polysulfone-Aliquat 336 nanofibers: synthesis, characterization, and application for the extraction and preconcentration of losartan from aqueous solutions
- Novel alginate immobilized TiO2 reusable functional hydrogel beads with high photocatalytic removal of dye pollutions
- Engineering and Processing
- Effects of gas-assisted technology on polymer micro coextrusion
- Influence of crystallinity on wear behavior of ultrahigh molecular weight polyethylene and the wear mechanism
- Identification of tensile behaviour of polylactic acid parts manufactured by fused deposition modelling under heat-treated conditions using nonlinear autoregressive with exogenous and transfer function models
