Predicting the Electricity Consumption and the Exergetic Efficiency of a Submerged Arc Furnace with Raw Materials using an Artificial Neural Network-Reference-Cited by-同舟云学术

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Predicting the Electricity Consumption and the Exergetic Efficiency of a Submerged Arc Furnace with Raw Materials using an Artificial Neural Network

Published:2017-03-09 Issue:2 Volume:10 Page:603-608
ISSN:1876-990X
Container-title:Silicon
language:en
Short-container-title:Silicon

Author:

Chen Zhengjie,Ma Wenhui,Wu Jijun,Wei Kuixian,Lv Guoqiang,Liu Zhanwei

Publisher

Springer Science and Business Media LLC

Subject

Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/article/10.1007/s12633-016-9499-4/fulltext.html

Reference20 articles.

1. Takla M, Kamfjord N E, Tveit H, Kjelstrup S (2013) Energy and exergy analysis of the silicon production process. Energy 58:138–146

2. Børset MT, Kolbeinsen L, Tveit H, Kjelstrup S (2015) Exergy based efficiency indicators for the silicon furnace. Energy. doi: 10.1016/j.energy.2015.07.010

3. Schei A, Tuset J K, Tveit H (1998) Production of high silicon alloys. Trondheim, Norway, Tapir

4. Ranganathan S, Godiwalla K M (2001) Effect of preheat, bed porosity, and charge control on thermal response of submerged arc furnace producing ferrochromium. Ironmak Steelmak (UK) 28:273–278

5. Ranganathan S, Mishra S N, Mishra R, Singh B K (2005) Control of silicon in high carbon ferrochromium produced in submerged arc furnace through redistribution of quartzite in the charge bed. Ironmak Steelmak 32:177–184

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3. Effect of Electrolyte Type on Properties of Diamond - like Carbon Films Electrodeposited onto N-Type Si Substrate, Application as Electrode for Supercapacitors;Silicon;2019-12-10

4. The effect of the carbonaceous materials properties on the energy consumption of silicon production in the submerged arc furnace;Journal of Cleaner Production;2018-08

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