Title: Dynamic model of bottom blown oxygen copper smelting process

Authors: Bin Wang; Zhuo Wang; Yang Jia; Haibin Yu

Addresses: Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China ' Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China ' Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China ' Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China

Abstract: The bottom blown oxygen copper smelting technology is a new copper concentrate smelting technology. However, in the actual production, it is difficult to measure some key parameters online such as the matte grade, slag Fe/SiO₂, melt temperature, total level, and matte level. A dynamic model is established to predict these parameters online, and is verified using actual production data. The results show that the predicted data and measured data are close, which indicate that the model could effectively predict these key parameters online and be applied to the actual production.

Keywords: bottom blown oxygen copper smelting process; dynamic model; mass balance; energy balance.

DOI: 10.1504/IJMIC.2018.094209

International Journal of Modelling, Identification and Control, 2018 Vol.30 No.2, pp.118 - 131

Received: 10 May 2017
Accepted: 02 Oct 2017
Published online: 22 Aug 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article