JOURNAL ARTICLE

The effect of microwave irradiation on the molecular diffusion of the ethyl acetate (EA) into the blend of styrene-butadiene rubber (SBR)/ethylene-propylene-diene monomer rubber (EPDM).

  • Published In: Progress in Rubber, Plastics & Recycling Technology, 2025, v. 41, n. 2. P. 201 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jourabchi, Shahab; Ostad Movahed, Saeed 3 of 3

Abstract

This article focuses on the preparation and analysis of styrene-butadiene rubber (SBR) and ethylene-propylene-diene monomer rubber (EPDM) blends and compounds to improve mechanical performance and reduce costs in rubber-made articles. Using dynamic swelling experiments with ethyl acetate (EA) as a solvent, the study determined diffusion characteristics—diffusion coefficient (D), sorption coefficient (S), and permeability coefficient (P)—and developed a new quantitative method to evaluate the interphase thickness between polymers in the blend based on these diffusion parameters. Microwave irradiation effects on the blends and the influence of carbon black (CB) filler were also examined, showing that CB reduces solvent uptake due to bound rubber formation. The findings were validated by scanning electron microscopy (SEM) and atomic force microscopy (AFM), with AFM phase imaging used to quantitatively measure interphase thickness, which correlates inversely with polymer-polymer interaction parameters and directly with polymer-solvent interaction parameters.

Additional Information

  • Source:Progress in Rubber, Plastics & Recycling Technology. 2025/05, Vol. 41, Issue 2, p201
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:1477-7606
  • DOI:10.1177/14777606241262875
  • Accession Number:184442713
  • Copyright Statement:Copyright of Progress in Rubber, Plastics & Recycling Technology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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