Study on Parameter Optimization of Copper Smelting in Civil Engineering

Abstract:

The process of copper converter smelting has very complex nonlinear relations, so that its mathematical model can not be created accurately. In this paper, considering that the LS-SVM has strong nonlinear approximation ability, the organization and optimization model based on LS-SVM to assist copper smelting production is proposed, namely compensating the original model and improving the precision of the model using LS-SVM. To simulate using real production data of a copper smelting company, the result shows that this model’s precision is high, this can be used to guide the practice production and it is very effective in civil engineering

• Periodical: Advanced Materials Research (Volume 568)
• Pages: 103-106
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.568.103
• Online since: September 2012
• Authors: Xiao Long Zhang, Shi Wen Yao, Jian Hang Hu, Hua Wang
• Keywords: Copper Smelting Production, Holographic Simulation Mathematic Model, Least Squares Support Vector Machines (Ls-SVM)

References

[1] Zhu Zuze, He Jiaqi, Modern copper metallurgy . Beijing, Science press. (2003).

[2] M. Nagamori and P.J. Mackey. Thermodynamics in the procession of copper ice and copperconverting Noranda process of rich oxygen of copper melting，(1993).

[3] Mei Zhi, Zhou JieMin, Peng Xiaoqi, Non-ferrous metallurgy furnace's simulation and optimization. China nonferrous metal journal. 1996, 6 (4): 21-28.

[4] Goto S. Equilibrium calculation between matte, slag and gaseous phases in copper smelting. Copper Metallurgy-Practice and Theory. London: Institute of Mining and Metallurgy, (1974).

[5] Hu Yuda, Optimization of practical multiple target , Shanghai. Shanghai science press. (1990).

[6] Xiao Xingguo, Xie Yunguo, Bases of metallurgical reaction in engineering science. Beijing. Metallurgy Industry Press. (1997).