Pyrolytic carbons derived from water soluble polymers

M Molenda,R Dziembaj,P Natkański,A Chojnacka,E Podstawka-Proniewicz,P Kuśtrowski

doi:10.1007/s10973-013-3212-2

Abstract

Conductive pyrolytic carbon materials were obtained in wet impregnation process followed by controlled pyrolysis. Poly-N-vinylformamide (PNVF) as well as mixture of PNVF and pyromellitic acid (PMA) were applied as carbon precursors. Composition of carbon precursors was optimized in terms to obtain best electrical properties of pyrolytic carbons. Mixture of PNVF and PMA as well as pure PNVF were deposited on the model alumina (α-Al2O3) support to form conductive carbon layers (CCL). The optimal composition of the polymer precursors was determined by Raman spectra and electrical conductivity measurements. The carbonization conditions were optimized using complementary thermal analysis methods (EGA(FTIR)–TG/DTG/STDA). It was found that the addition of PMA to polymer precursor PNVF decreases temperature of formation of condensed graphene structures, domains of electrical conductivity, thus, the formation temperature of pyrolytic carbons with desired electrical properties may be decreased.

Highlights

One of the current directions in modification of electrode materials for lithium ion batteries is formation of composites by mixing the active materials with carbon additives [1]
Temperature/K Fig. 5 FTIR maps of the gaseous products evolved during pure pyromellitic acid (PMA), pure PNVF, PNVF/a-Al2O3 and MPNVF(5 % PMA)/a-Al2O3 decomposition of polymeric chains begins at 406 K and it is connected with dehydratation process and formation of NH3
Hydrophilic polymers may be applied as versatile precursors of pyrolytic carbons

Summary

Introduction

One of the current directions in modification of electrode materials for lithium ion batteries is formation of composites by mixing the active materials with carbon additives [1]. The optimal composition of the polymer precursors was determined by Raman spectra and electrical conductivity measurements.

Results

Conclusion