습식 비철금속 제련의 정액공정에서 불순물과 첨가제 간의 화학반응율 추정 방법 - 아연 제련을 중심으로 -Estimation Methods for the Reaction Rate between Impurity and Additive in the Purification Process of Nonferrous Hydrometallurgy
- Other Titles
- Estimation Methods for the Reaction Rate between Impurity and Additive in the Purification Process of Nonferrous Hydrometallurgy
- Authors
- 김성인; 송승욱; 정신
- Issue Date
- 2005
- Publisher
- 한국경영공학회
- Keywords
- Hydrometallurgy; Purification; Forecasting; Time series; Regression; Adaptive and Box-Jenkins method; Hydrometallurgy; Purification; Forecasting; Time series; Regression; Adaptive and Box-Jenkins method
- Citation
- 한국경영공학회지, v.10, no.3, pp.97 - 110
- Indexed
- KCI
- Journal Title
- 한국경영공학회지
- Volume
- 10
- Number
- 3
- Start Page
- 97
- End Page
- 110
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/126070
- ISSN
- 2005-7776
- Abstract
- The purification process removes impurity in the solution through a chemical reaction with an additive. The amount of additive depends on the estimate of its reaction rate with the impurity. We compare three estimation methods. First, a regression method formulates the complex chemical reaction between impurity and additive into a regression model. The reaction rate becomes the parameter of the model. Second, an adaptive method reflects the past errors detected by the first method. We develope a search procedure to find the optimal weights of the past errors in this method. Third, the Box-Jenkins method in time series models is applied.
Through simulation these methods are analyzed and compared in various situations including a real case. It has been shown that the Box-Jenkins method is the most robust method to the situations. The case study determines the amount of zinc dust additive that reacts with the copper impurity in a hydrometallurgical zinc purification process.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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