Insights into the physical properties of biobased polyurethane/expanded graphite composite foams


The main purpose of this work was to widen the range of applications of the polyurethane foams (PUFs) obtained from renewable resources as higher added value materials by increasing their electrical and thermal conductivities and get a better insight of the parameters governing these properties. The increase of these properties is frequently achieved by filling PUFs with carbon nanofibers (CNFs), carbon nanotubes (CNTs) or graphene layers, however their cost limits their widespread use. In this work, an inexpensive procedure has been developed to prepare electrical conductive PUFs using castor oil (CO) as polyol and expanded graphite (EG). The chemical and structural characteristics of the ensuing composite foams have been evaluated, as well as their morphology and their mechanical, thermal and electrical properties. The DC electrical conductivity results have been fitted to Taherian model. EG loadings between 0.5 and 1.5% (w/w) caused a systematic increase of the thermal and electrical conductivities Moreover, in this fillers' loading range the remaining physical properties namely the glass transition temperature and the Young's modulus are appropriate for standard applications. (C) 2016 Elsevier Ltd. All rights reserved.



subject category

Materials Science


Gama, N; Costa, LC; Amaral, V; Ferreira, A; Barros-Timmons, A

our authors


This work was developed in the scope of the project CICECO-Aveiro Institute of Materials (Ref. FCT UID/CTM/50011/2013), financed by national funds through the FCT/MEC and when applicable co-financed by FEDER under the PT2020 Partnership Agreement. Thermal Analysis Laboratory was funded by FEDER Funds through Programa Operacional Factores de Competitividade - COMPETE and by National Funds through FCT under the project REEQ/515/CTM/2005. L. C. Costa acknowledges FEDER by funds through the COMPETE 2020 Programme and National Funds through FCT - Portuguese Foundation for Science and Technology under the project UID/CTM/50025/2013. V. Amaral acknowledges project RECI/CTM-CER/0336/2012 co-financed by FEDER, QREN reference COMPETE: FCOMP-01-0124-FEDER-027465. The authors acknowledge CEMUP for the XPS analysis.

Share this project:

Related Publications

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".