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Application of Perylenetetracarboxylic Dianhydride as a Carbon Precursor

Perylenetetracarboxylic dianhydride의 탄소전구체로의 응용

  • Kwon, Woong (Department of Textile Engineering, Kyungpook National University) ;
  • Kim, Changkyu (Department of Textile Engineering, Kyungpook National University) ;
  • Han, Minwoo (Department of Textile Engineering, Kyungpook National University) ;
  • Jeong, Euigyung (Department of Textile Engineering, Kyungpook National University)
  • 권웅 (경북대학교 섬유시스템공학과) ;
  • 김창규 (경북대학교 섬유시스템공학과) ;
  • 한민우 (경북대학교 섬유시스템공학과) ;
  • 정의경 (경북대학교 섬유시스템공학과)
  • Received : 2020.10.01
  • Accepted : 2020.10.20
  • Published : 2020.10.31

Abstract

This study aims to investigate the application of perylenetetracarboxylic dianhydride (PTCDA), which is also known as C.I. Pigment Red 224 (PR224), as a carbon precursor. PTCDA has a stacking structure and planarity, thereby forming a crystal structure and good thermal stability. Moreover, PTCDA has a very high theoretical elemental carbon content of 73.47%, which suggests that its maximum theoretical carbon yield is more than 70%. Therefore, PTCDA was selected as a carbon precursor and compared with coal-tar pitch and petroleum pitch, which are carbon precursors with high carbon yield and excellent carbon crystallinity after carbonization. The initial decomposition temperature of PTCDA was 240-328 ℃ higher than that of the pitches, suggesting that the thermal stability of PTCDA is better than that of the other pithces. After carbonization, the graphite (002) interplanar distance (d002) of carbonized PTCDA (C-PTCDA) was 3.54 Å, which was similar to that of the pitch-based carbons. The crystal size (Lc) was the largest among the prepared carbons with 30.03 Å. The ID/IG ratio of C-PTCDA was 2.12, which was the lowest value among the prepared carbons. The 2D peak of C-PTCDA was observed at 2720 cm-1, suggesting the least disordered graphite structure. Therefore, we believe that PTCDA has excellent potential for use as a carbon precursor for highly ordered carbon materials.

Keywords

Acknowledgement

본 연구는 2020년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(과제번호20006696).

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