DOI QR코드

DOI QR Code

Process Optimization Using Regression Analysis of Distillation Processes for the Recovery of Propylene Glycol Monomethyl Ether Acetate (PGMEA) Containing Waste Organic Solvent

폐액 중 프로필 글리콜 모노메틸 에테르 아세테이트(PGMEA) 회수하는 증류공정에서 회귀분석을 이용한 공정 최적화

  • Choi, Yong-Seok (Department of Chemical and Biomolecular Engineering, Chonnam National University) ;
  • Byun, Hun-Soo (Department of Chemical and Biomolecular Engineering, Chonnam National University)
  • 최용석 (전남대학교 화공생명공학과) ;
  • 변헌수 (전남대학교 화공생명공학과)
  • Received : 2014.05.28
  • Accepted : 2014.06.20
  • Published : 2015.04.01

Abstract

The aim of this study is to obtain optimum process condition for using two tower distribution to recycle the waste Propylene Glycol Monomethyl Ether Acetate (PGMEA) that is formed after washing LCD. The optimum process condition for the content of PGMEA, which is dependent variable, at 1st distillation was calculated according to Bottom temperature (BTM temperature), Reflux amount, Feed amount, Feed temperatures, and the optimum process conditions and optimum factors for the content of PGMEA at 2nd distillation according to Bottom temperature (BTM temperature), Reflux amount, Feed amount, Feed temperatures. At 1st distillation, Reflux amount, Feed amount, and Feed temperature are significant variables. However, it is found that the BTM temperature range is not significant in the range of process condition used in this study. The optimum process conditions are based on $5700{\ell}$ of Feed amount, $2500{\ell}$ of Reflux amount, $165^{\circ}C$ of BTM temperature, and $130^{\circ}C$ of Feed temperature. For the this condition, the predicted content of PGMEA was calculated as 92.12~94.62%. Significant factors at 2nd distillation are Reflux amount, Feed amount, and BTM temperature. Multicollinearity is between Reflux amount and BTM temperature. BTM was omitted in the multiple regression equation because there is a strong positive correlation between Reflux amount and BTM temperature. Base on $199^{\circ}C$ of BTM temperature, The optimum process conditions are based on $4275{\ell}$ of Feed amount, $6200{\ell}$ of Reflux amount and $130^{\circ}C$ of Feed temperature. In this condition, the predicted content of PGMEA was calculated as 99.0~99.5%.

본 연구는 Liquid Crystal Display (LCD) 세척 후 발생하는 Propylene Glycol Monomethyl Ether Acetate (PGMEA)폐액 재활용을 위한 2기 증류탑을 사용하는 공정의 최적 조건을 산출하였다. 공정조건 최적화 기법으로 다중회귀분석을 이용하여 1차 증류 시 Bottom 온도(BTM 온도), Reflux 량, Feed 량 및 Feed 온도에 따라 PGMEA 함량에 대한 최적 조건과 2차 증류 시 BTM 온도, Reflux 량, Feed 량에 따른 PGMEA 함량에 대한 최적 조건과 공정인자를 산출하였다. 1차 증류탑의 공정인자 중 Reflux 량, Feed 온도 및 Feed 량이 중요한 인자로 산출되었다. 본 연구의 공정조건 범위에서는 BTM 온도범위가 PGMEA함량에 크게 영향을 주지 못하였다. 따라서 최적 공정 조건은 Feed 량 $5,700{\ell}$, Reflux 량 $2,500{\ell}$, BTM 온도 $165^{\circ}C$ 및 Feed 온도 $130^{\circ}C$이며 이때 예측된 PGMEA 함량은 92.12~94.62%로 산출되었다. 2차 증류탑에서는 Reflux 량이 함량에 많은 영향을 미치고 있으며, Feed 량과 BTM 온도도 영향을 미치는 인자로 산출되었다. 다중공선성(Multicollinearity)이 Reflux 량과 BTM 온도 간에 강한 양의 상관관계가 있어, 두 인자 중 다중회귀식에 영향이 지배적인 인자 하나를 선택하였으며, 최적조건은 BTM 온도 $199^{\circ}C$ 기준에서 최적 공정 조건은 Feed 량 $4,275{\ell}$ 및 Reflux 량 $6,200{\ell}$이며, 이때 예측 PGMEA 함량은 99.0~99.5%로 산출되었다.

Keywords

References

  1. http://www.labpump.co.kr/thar/supercritical.htm.
  2. Lee, M. Y. and Kim, Y. H., "Design of Thermally Coupled Distillation Process Utilizing Existing Columns," Korean Chem. Eng. Res., 46(5), 1017-1022(2008).
  3. Woo, K. S., Lee, C. J., Han, K. H., Ko, J. W. and Yoon, E. S. "Fault Detection & SPC of Batch Process using Multi-way Regression Method," Korean Chem. Eng. Res., 45(1), 32-38(2007).
  4. Noh, H. J., Statistical Quality Management by Excel 2007, Hanol Publisher, Seoul(2008).
  5. Anderson, D. R., Sweeney, D. J. and Williams, T. A., Essentials of Modern Business Statistics with Microsoft Excel, 5th ed., South- Western (Cengage Learning) Publishers, Canada(2012).
  6. Park, S. H., Regression Analysis, 3th ed., Minyoungsa, Seoul (2007).