Investigation of Porous Carbon Fibers Based on Porous Polyacrylonitrile Fibers Using High-Resolution Methods across Different Scales

This work presents a new cross-scale approach to evaluating the carbon fiber structure. This is demonstrated along the manufacturing chain from porous polyacrylonitrile (PAN) precursor fibers to porous carbon fibers (CF), where the particular challenge lies both in maintaining the porous structure throughout all process steps of thermal conversion and in ensuring that the fiber is sufficiently strong for processing in the stabilization and carbonization steps. In order to achieve this, an electron beam treatment was used to cyclize and cross-link the PAN for prestabilization, whereby the cyclization index was determined on the basis of spectroscopic methods and was 54% for the subsequently thermally stabilized fiber. The produced fibers were characterized by classical textile-physical investigations along the process chain, as well as by means of analyses with regard to structural changes and radial distribution of carbon crystallites, pores, and cavities, which were carried out using X-ray techniques, including wide-angle X-ray diffractometry (WAXS) and nanoscale X-ray tomography (XRM), as well as density measurements, and imaging techniques such as scanning electron microscopy (SEM) with <i>in situ</i> Raman spectroscopy and <i>in situ</i> atomic force microscopy, as well as transmission electron microscopy (TEM). The results indicate that structural changes take place in the radial direction and that a distinct core-sheath structure also forms for porous fibers. The initially determined specific surface area of the porous PAN fiber was 39.95 m<sup>2</sup>/g and decreased to 0.99 m<sup>2</sup>/g for the porous CF, whereby the density of the latter is significantly lower than that of standard CF, at 1.537 g/cm<sup>3</sup>. These findings provide a framework for a deeper understanding of the structure-property relationships along the carbon fiber manufacturing chain in order to develop tailored porous CF for CF-based supercapacitors.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-09-23
DOI
https://doi.org/10.1021/acsomega.5c04460
Primary Topic
Fiber-reinforced polymer composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Porous Carbon Fibers Based on Porous Polyacrylonitrile Fibers Using High-Resolution Methods across Different Scales

Bon‐Cheol Ku, Grégory Pognon, Anke Dutschke, Jizhen Zhang et al.
ACS Omega
Fiber-reinforced polymer composites
article

Investigation of Porous Carbon Fibers Based on Porous Polyacrylonitrile Fibers Using High-Resolution Methods across Different Scales

Bon‐Cheol Ku, Grégory Pognon, Anke Dutschke, Jizhen Zhang, Peter A. Lynch, Darius Pohl, Jan Wolf, Mohsen Sadeghi Bogar, Μaik Gude, Markus Löffler, Michael Thomas Müller, Gabriel Foyer, Adrian Mikitisin, Thomas Behnisch, Iris Kruppke, Matthias Finger, Irina Kuznik, Bernd Rellinghaus, F. Hitzel, So Jeong Heo, Robert Seidel-Greiff, Paul Bertram, C. Cherif, Magdalena Eder, Pragya Shekhar
article en

Abstract

This work presents a new cross-scale approach to evaluating the carbon fiber structure. This is demonstrated along the manufacturing chain from porous polyacrylonitrile (PAN) precursor fibers to porous carbon fibers (CF), where the particular challenge lies both in maintaining the porous structure throughout all process steps of thermal conversion and in ensuring that the fiber is sufficiently strong for processing in the stabilization and carbonization steps. In order to achieve this, an electron beam treatment was used to cyclize and cross-link the PAN for prestabilization, whereby the cyclization index was determined on the basis of spectroscopic methods and was 54% for the subsequently thermally stabilized fiber. The produced fibers were characterized by classical textile-physical investigations along the process chain, as well as by means of analyses with regard to structural changes and radial distribution of carbon crystallites, pores, and cavities, which were carried out using X-ray techniques, including wide-angle X-ray diffractometry (WAXS) and nanoscale X-ray tomography (XRM), as well as density measurements, and imaging techniques such as scanning electron microscopy (SEM) with <i>in situ</i> Raman spectroscopy and <i>in situ</i> atomic force microscopy, as well as transmission electron microscopy (TEM). The results indicate that structural changes take place in the radial direction and that a distinct core-sheath structure also forms for porous fibers. The initially determined specific surface area of the porous PAN fiber was 39.95 m<sup>2</sup>/g and decreased to 0.99 m<sup>2</sup>/g for the porous CF, whereby the density of the latter is significantly lower than that of standard CF, at 1.537 g/cm<sup>3</sup>. These findings provide a framework for a deeper understanding of the structure-property relationships along the carbon fiber manufacturing chain in order to develop tailored porous CF for CF-based supercapacitors.

ACS OmegaVol. 10(39)
Carl Zeiss (Germany) (DE), Deakin University (AU), National Institute for Materials Science (JP), Thales (Australia) (AU), Leibniz Institute of Polymer Research (DE), Korea Food Research Institute (KR), Oxford Instruments (Germany) (DE), Center for Systems Biology Dresden (DE), University Hospital Carl Gustav Carus (DE), Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences (DE), Technische Universität Dresden (DE), RWTH Aachen University (DE), Technische Universität Braunschweig (DE)
Openalex Percentile: Top 73%
Fiber-reinforced polymer composites
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.