{"title":"Enhanced heat conductivity ingraphene/polyethylene nanocomposites through two-stage graphene dispersion using hyperbranched polyethylene","authors":"Mahdi Shafiee , Farhad Sharif , Saeedeh Mazinani , Zahra Balzade","doi":"10.1016/j.polymertesting.2025.109000","DOIUrl":null,"url":null,"abstract":"<div><div>Enhancing the thermal conductivity of polyethylene (PE) is critical for improving processing efficiency and reducing energy consumption. This study introduces a novel two-stage process to disperse graphene in PE using hyperbranched polyethylene (HBPE). A graphene-HBPE (G-HBPE) masterbatch was prepared via solution mixing and sonication of graphite in chloroform with HBPE, followed by solvent removal and melt mixing with low-density PE (LDPE). Incorporating less than 1 wt% graphene nanoplatelets (GNPs) increased thermal conductivity by 50 %, from 0.312 to 0.468 W/m·K, while preserving processability (melt flow index: 0.85 to 0.816 g/10 min) and modestly enhancing mechanical properties (modulus: 95.8–165.2 MPa). Field emission scanning electron microscopy revealed uniform graphene dispersion and strong interfacial bonding, attributed to HBPE's CH-π interactions and steric stabilization. This approach outperforms prior methods, offering a scalable strategy for PE-based thermal management materials in electronics and other applications.</div></div>","PeriodicalId":20628,"journal":{"name":"Polymer Testing","volume":"152 ","pages":"Article 109000"},"PeriodicalIF":6.0000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polymer Testing","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142941825003149","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
Enhancing the thermal conductivity of polyethylene (PE) is critical for improving processing efficiency and reducing energy consumption. This study introduces a novel two-stage process to disperse graphene in PE using hyperbranched polyethylene (HBPE). A graphene-HBPE (G-HBPE) masterbatch was prepared via solution mixing and sonication of graphite in chloroform with HBPE, followed by solvent removal and melt mixing with low-density PE (LDPE). Incorporating less than 1 wt% graphene nanoplatelets (GNPs) increased thermal conductivity by 50 %, from 0.312 to 0.468 W/m·K, while preserving processability (melt flow index: 0.85 to 0.816 g/10 min) and modestly enhancing mechanical properties (modulus: 95.8–165.2 MPa). Field emission scanning electron microscopy revealed uniform graphene dispersion and strong interfacial bonding, attributed to HBPE's CH-π interactions and steric stabilization. This approach outperforms prior methods, offering a scalable strategy for PE-based thermal management materials in electronics and other applications.
期刊介绍:
Polymer Testing focuses on the testing, analysis and characterization of polymer materials, including both synthetic and natural or biobased polymers. Novel testing methods and the testing of novel polymeric materials in bulk, solution and dispersion is covered. In addition, we welcome the submission of the testing of polymeric materials for a wide range of applications and industrial products as well as nanoscale characterization.
The scope includes but is not limited to the following main topics:
Novel testing methods and Chemical analysis
• mechanical, thermal, electrical, chemical, imaging, spectroscopy, scattering and rheology
Physical properties and behaviour of novel polymer systems
• nanoscale properties, morphology, transport properties
Degradation and recycling of polymeric materials when combined with novel testing or characterization methods
• degradation, biodegradation, ageing and fire retardancy
Modelling and Simulation work will be only considered when it is linked to new or previously published experimental results.