JOURNAL ARTICLE
Some problem questions in studying the properties of dynamically vulcanized polymer systems based on ethylene/1-hexene copolymer and nitrile butadiene rubber.
Published In: Progress in Rubber, Plastics & Recycling Technology, 2024, v. 40, n. 1. P. 62 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kakhramanov, Najaf; Huseynova, Zulfira; Gahramanli, Yunis; Hajiyeva, Reykhan; Arzumanova, Nushaba; Kurbanova, Rena; Suleymanova, Elmira 3 of 3
Abstract
The article focuses on the study of the influence of nitrile butadiene rubber (NBR) type and concentration on the physical and mechanical properties of polymer compositions based on compatibilized ethylene/1-hexene copolymer (EHC*). Using SKN-18, SKN-26, and SKN-40 grades of NBR and polyethylene-graft-methacrylic acid (PE-g-MAA) as a compatibilizer, the research found that increasing NBR content leads to decreased strength, heat resistance, and melt flow rate, with phase inversion occurring at 30 wt% for SKN-18 and 40 wt% for SKN-26 and SKN-40. Thermomechanical and dilatometric analyses revealed changes in deformation behavior and crystallization mechanisms, including the formation of thermoplastic elastomers exhibiting rubber-like elasticity. Additionally, dynamic vulcanization with dicumyl peroxide (DP) improved strength and elongation, with 0.5 wt% DP identified as optimal for maintaining processability. These findings provide insights into tailoring polymer blends for applications requiring combined rubber properties and thermoplastic processability.
Additional Information
- Source:Progress in Rubber, Plastics & Recycling Technology. 2024/02, Vol. 40, Issue 1, p62
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:1477-7606
- DOI:10.1177/14777606231189522
- Accession Number:174668325
- 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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