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Smelting condition identification for a fused magnesium furnace based on an acoustic signal

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posted on 2017-03-21, 09:43 authored by You Fu, Ninghui Wang, Zhen Wang, Zhiqiang Wang, Bing Ji, Xiaochen Wang
To promote energy efficiency during fused magnesium furnace smelting, four smelting states were introduced in the smelting stage: an unmelted state, semi–molten state, molten state, and overheating state. A smelting identification system to distinguish these smelting states was developed through the use of linear predictive coding and a principal component analysis algorithm. A new smelting condition identification system was obtained. Corresponding pilot productions were conducted to compare the differences between employing the method and not employing the method. All of the pilot production data showed that feeding raw materials over time during the overheating state and decreasing current injection in the molten state could reduce energy consumption as well as increase crystal purity.

Funding

This work was financially supported by the International Science and Technology Cooperation Program of China (2014DFR50880), the Fundamental Research Funds for the Central Universities (DUT16QY35), and the Natural Science Foundation of Liaoning Province (201602173).

History

Citation

Journal of Materials Processing Technology, 2017, 244, pp. 231-239

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

  • AM (Accepted Manuscript)

Published in

Journal of Materials Processing Technology

Publisher

Elsevier

issn

0924-0136

Acceptance date

2016-12-21

Copyright date

2016

Available date

2019-01-27

Publisher version

http://www.sciencedirect.com/science/article/pii/S0924013616304617

Notes

The file associated with this record is under embargo until 24 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en

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