03Manuscript.pdf (1.36 MB)
Smelting condition identification for a fused magnesium furnace based on an acoustic signal
journal contributionposted 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.
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).
CitationJournal of Materials Processing Technology, 2017, 244, pp. 231-239
Author affiliation/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering
- AM (Accepted Manuscript)