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Surface Thermo-Dynamic Characterization of Poly (Vinylidene Chloride-Co-Acrylonitrile) (P(VDC-co-AN)) Using

Vijay Kakani1, Hakil Kim1, Praveen Kumar Basivi2

  • 1Information and Communication Engineering, Inha University, 100 inharo, Nam-gu Incheon 22212, Korea.

Polymers
|July 29, 2020
PubMed
Summary
This summary is machine-generated.

This study characterizes Poly(vinylidene chloride-co-acrylonitrile) (P(VDC-co-AN)) using Inverse Gas Chromatography (IGC) and Computer Vision. The polymer exhibits a basic surface character and distinct visual traits, offering insights into its chemical and physical properties.

Keywords:
Poly(vinylidene chloride-co-acrylonitrile) (P(VDC-co-AN ))computer vision and image processinginverse gas chromatographysurface free energythermo-dynamic surface characterizationvisual traits

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Area of Science:

  • Polymer science and materials characterization.
  • Surface chemistry and thermodynamics.
  • Materials science and engineering.

Background:

  • Poly(vinylidene chloride-co-acrylonitrile) (P(VDC-co-AN)) is a polymer with diverse applications.
  • Understanding the surface thermodynamic properties and visual characteristics is crucial for optimizing its performance.
  • Existing characterization methods may not fully capture the complex surface behavior of this polymer.

Purpose of the Study:

  • To conduct a comprehensive surface thermodynamic characterization of pure P(VDC-co-AN) using Inverse Gas Chromatography (IGC).
  • To analyze key IGC parameters including London dispersive surface energy, Gibbs free energy, and Guttman Lewis acid-base parameters.
  • To investigate the visual traits of P(VDC-co-AN) using Computer Vision and Image Processing (CVIP) on Scanning Electron Microscopy (SEM) images.

Main Methods:

  • Inverse Gas Chromatography (IGC) was employed for thermodynamic surface analysis.
  • The Schultz and Dorris-Gray methods were used to calculate London dispersive surface free energy (γSL).
  • Computer Vision and Image Processing (CVIP) techniques were applied to SEM images for visual analysis.

Main Results:

  • The London dispersive surface free energy (γSL) of P(VDC-co-AN) was determined to be 29.93 mJ·m⁻² and 24.15 mJ·m⁻².
  • Surface energy decreased linearly with increasing temperature; Guttman-Lewis parameters (Ka, Kb) were 0.13 and 0.49.
  • The polymer exhibits a predominantly basic surface character (S value = 3.77, correlation coefficient = 0.98) and distinct visual features like morphology and texture.

Conclusions:

  • P(VDC-co-AN) possesses a basic surface, indicating a higher affinity for acidic environments.
  • The study provides a dual perspective (chemical and visual) on the pure polymer, aiding material selection and application development.
  • IGC and CVIP collectively offer valuable insights into polymer surface properties and morphology.