Applied Chemistry for Engineering (공업화학)

The Korean Society of Industrial and Engineering Chemistry (한국공업화학회)
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Effect of Grinding Methods on Particle Size and Crystalline Structure of Copper Phthalocyanine

분쇄방법에 따른 구리프탈로시아닌 입자크기 및 결정구조 변화

  • Lee, Jeong Se (School of Biochemical Engineering, University of Ulsan) ;
  • Lee, Hak Sung (School of Biochemical Engineering, University of Ulsan)
  • 이정세 (울산대학교 생명화학공학부) ;
  • 이학성 (울산대학교 생명화학공학부)
  • Received : 2006.10.12
  • Accepted : 2007.01.02
  • Published : 2007.02.10
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Abstract

Crude copper phthalocyanine (Cupc) was synthesized by Wyler process, then grounded using various methods such as acid pasting, kneader, attritor and SC-mill. Particle size, shape and crystalline structure were compared and evaluated after particle size reductions. Cupcs prepared by acid pasting and kneader methods that are excellent manufacturing processes in industry were used as our standards. Particle properties of Cupcs prepared either by attritor or by SC-mill were compared with particle size analyzer, scanning electron microscopy (SEM) and X-ray diffraction (XRD). Particle size analyzer and SEM were used to analyze the variation of particle sizes of Cupc with milling time. Particle size was initially decreased up to the 90 min of milling time, thereafter it reversely began to increase in case of SC-mill. Cupc obtained from dry milling with attritor displayed strong cohesion so that particle size was not possible to determine with particle size analyzer. However, the optimum milling time was indirectly approximated from the analysis of XRD peak intensity.

Wyler법으로 제조된 구리프탈로시아닌(Cupc)을 kneader, attritor, SC-mill 및 acid pasting법으로 미분쇄하여 입자 크기, 모양, 결정구조를 비교하였다. Cupc 표준물질은 산업적으로 우수한 acid pasting, kneader법으로 제조하여 사용하였고, attritor, SC-mill로 분쇄한 후, 입도분석기, 전자현미경(SEM), X-선 회절스펙트럼(XRD)으로 입자특성을 분석하여 상호 비교하였다. SC-mill의 경우, 분쇄시간에 따라 입도분석기와 전자현미경으로 측정하였을 때, 90 min간의 분쇄시간 까지는 입자크기가 감소하였으나 그 이후부터는 Cupc의 강한 응집으로 평균입자크기가 증가하였다. Attritor로부터 건식 분쇄한 Cupc는 강한 응집에 의해 입도분석기로 입자크기를 측정할 수 없었지만, XRD peak intensity로부터 최적분쇄시간을 간접적으로 예측할 수 있었다.

Keywords

Acknowledgement

Supported by : 울산대학교

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