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Influence of oriented CNT forest on thermoelectric properties of polymer-based materials
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science. Department of Functional Nanosystems and High Temperature Materials, NUST MISiS, Moscow; Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Germany.ORCID iD: 0000-0001-8889-4157
Department of Functional Nanosystems and High Temperature Materials, NUST MISiS, Moscow; NanoTech Institute, University of Texas at Dallas, USA.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.ORCID iD: 0000-0001-7475-6394
Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Germany; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Germany .
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2018 (English)In: Journal of Alloys and Compounds, ISSN 0925-8388, E-ISSN 1873-4669, Vol. 741, p. 392-397Article in journal (Refereed) Published
Abstract [en]

Thermoelectric (TE) materials are highly important due to their ability to convert wasted heat energy into electricity. Among the different TE materials, organic-based or polymer-based TE systems are among the most promising due to their sustainability, non-toxicity and good electrical properties. In our research, we have investigated for the first time the application of vertically aligned carbon nanotubes forest (VA-CNTF) as a filler for TE composite; compared to unconnected carbon nanotubes (CNT), which are typically used in polymer/CNT composites, dry pulled VA-CNTF sheets have more ordered structure, which is supposed to improve the TE efficiency of the material. VA-CNTF and short unoriented multiwalled carbon nanotubes (MWCNT) were used as fillers of a polymeric matrix, to prepare TE composites. Various stacking configurations were explored by using CNTF. All the samples were examined by scanning electron microscopy (SEM), micro-Raman spectroscopy, and four-point probe electrical measurements; MWCNT-based samples were used as benchmarking systems.

The results revealed a dramatic increase of the Seebeck coefficient up to 46 μV/K for the VA-CNTF-based sample, while the best MWCNTs-based sample (MWCNT concentration 50 wt%) provided only 21.49, which is roughly the Seebeck coefficient of pure polymer. This research represents the first application of VA-CNTF as a promising material for TE systems and demonstrates that oriented nanoforests and related CNT sheets are a very perspective material for promising developments in the field.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 741, p. 392-397
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Experimental Physics
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URN: urn:nbn:se:ltu:diva-67179DOI: 10.1016/j.jallcom.2018.01.010ISI: 000425530700047Scopus ID: 2-s2.0-85040695402OAI: oai:DiVA.org:ltu-67179DiVA, id: diva2:1171455
Note

Validerad;2018;Nivå 2;2018-01-25 (rokbeg)

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-04-27Bibliographically approved

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