Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities

Kunming, China

Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities

Kunming, China
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Chen Z.,Kunming University of Science and Technology | Chen Z.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | Ma W.,Kunming University of Science and Technology | Ma W.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | And 8 more authors.
Silicon | Year: 2017

The problem of higher electricity consumption and lower exergy efficiency in the submerged arc furnace process of the silicon industry needs to be urgently solved. However, various raw materials play important roles in the electricity consumption and exergy efficiency of a submerged arc furnace during silicon production. An artificial neural network (ANN) method was used to model the final strain of the electricity consumption and exergy efficiency with varying silica, coke, coal and electrode. The measured strain versus predicted strain by the model was compared using the R2 coefficient. The results showed that the exergy efficiency and the electricity consumption values of the testing data are R2= 0.9918 and R2 = 0.9896, respectively, in a very short time with low error levels. They clearly indicate the adequacy of the model proposed for prediction of the exergy efficiency and the electricity consumption with different raw materials in the mixture of carbonaceous raw materials in the furnace. Additionally, there is good agreement between the actual and predicted values. Therefore, this developed ANN model is useful to guide the decision about the use of raw materials in silicon production under the condition of lower electricity consumption and higher exergy efficiency. © 2017 Springer Science+Business Media Dordrecht


Chen Z.,Kunming University of Science and Technology | Chen Z.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | Ma W.,Kunming University of Science and Technology | Ma W.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | And 12 more authors.
Energy | Year: 2016

In this study, we investigated the exergetic efficiency and thermal energy source of the off-gas system of a submerged arc furnace, which varied from 27% to 35% and 47% to 55%, respectively, of the total energy supply. We used a case study to evaluate the thermal exergy in the off-gas of a real furnace, which exhibited an additional power capacity up to 2.7 MW amounting to 10% of the total energy supplied to the process (or 23% of the electrical power fed to the furnace.) We also determined the perfect negative correlation coefficients (r as the standard) between the exergetic efficiency and raw material consumption via linear regression and observed moderately positive relevance between power consumption and raw material consumption in the furnace. We attributed this correlation to increased graphitization and reduced resistivity of carbonaceous materials as the charging began sink slowly into the reaction zone and the charging temperature increased. Compared to coal, petroleum coke showed a significant impact on total power consumption according to the linear regression results; especially in regards to the fact that petroleum coke underwent graphitization more easily than coal as charging temperature increased. © 2016


Xue H.,Kunming University of Science and Technology | Xue H.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | Lv G.,Kunming University of Science and Technology | Lv G.,Key Laboratory of Non Ferrous Metals Vacuum Metallurgy of Yunnan Province Engineering Research Center for Silicon Metallurgy and Silicon Materials of Yunnan Provincial Universities | And 6 more authors.
Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science | Year: 2015

Solar grade silicon (SOG-Si) and hypereutectic Al-Si alloys with low silicon (silicon composition below 25 pct) can be successfully obtained by separation of hypereutectic Al-Si alloy with high silicon (silicon composition above 30 pct) under an alternating electromagnetic field after post-processing. To explore the separation mechanism in detail, experiments were conducted in this study using a high-frequency induction furnace with different pulling conditions of the crucible which is loaded with Al-45 wt pct Si melt. Results demonstrate that the separation of hypereutectic Al-Si alloy is feasible through either a pull-up or drop-down process. The height of each separation interface between the compact and sparse parts of the primary silicon decrease as the pull-up distance rose. When the pulling rate is very low, resultant morphologies of compact primary silicon are rounded and polygonal, allowing for more effective separation of the primary silicon. A novel physical model is presented here based on the experimental results and simulation. The model can be used to effectively describe the separation mechanism of primary silicon from hypereutectic Al-Si melts under alternating electromagnetic fields. © 2015, The Minerals, Metals & Materials Society and ASM International.

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