화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.20, No.6, 977-984, November, 2003
DOI10.1007/BF02706925  Export Citation
Application of Partial Least Squares Methods to a Terephthalic Acid Manufacturing Process for Product Quality Control
In-Su Han, Minjin Kim, Chang-Hyun Lee1, Woonou Cha1, Byoung-Kyoung Ham2, Jy-Hyo Jeong2, Haksoo Lee2, Chang-Bock Chung3, and Chonghun Han†
  • Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 790-784, Korea
  • 1e-Management Team, SK Chemicals, Suwon, Gyeonggi 440-745, Korea
  • 2Petrochemical Production Team, SK Chemicals, Ulsan 680-160, Korea
  • 3Faculty of Chemical Engineering, Chonnam National University, Gwangju 500-757, Korea
E-mail:
This paper deals with an application of partial least squares (PLS) methods to an industrial terephthalic acid (TPA) manufacturing process to identify and remove the major causes of variability in the product quality. Multivariate statistical analyses were performed to find the major causes of variability in the product quality, using the PLS models built from historical data measured on the process and quality variables. It was found from the PLS analyses that the variations in the catalyst concentrations and the process throughput significantly affect the product quality, and that the quality variations are propagated from the oxidation unit to the digestion units of the TPA process. A simulation-based approach was addressed to roughly estimate the effects of eliminating the major causes on the product quality using the PLS models. Based on the results that considerable amounts of the variations in the product quality could be reduced, we have proposed practical approaches for removing the major causes of product quality variations in the TPA manufacturing process.
Keywords:Terephthalic Acid;Partial Least Squares (PLS);Quality Control;Empirical Modeling;Multivariate Analysis
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