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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
김성인송승욱정신
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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