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Title: Smelting condition identification for a fused magnesium furnace based on an acoustic signal
Authors: Fu, You
Wang, Ninghui
Wang, Zhen
Wang, Zhiqiang
Ji, Bing
Wang, Xiaochen
First Published: 27-Jan-2017
Publisher: Elsevier
Citation: Journal of Materials Processing Technology, 2017, 244, pp. 231-239
Abstract: 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.
DOI Link: 10.1016/j.jmatprotec.2016.12.017
ISSN: 0924-0136
Embargo on file until: 27-Jan-2019
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License (, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Description: 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.
Appears in Collections:Published Articles, Dept. of Engineering

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