Application of Machine Learning in a Mineral Leaching Process-Taking Pyrolusite Leaching as an Example.
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ABSTRACT:
SUBMITTER: Zhang Z
PROVIDER: S-EPMC9798733 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Publications
Application of Machine Learning in a Mineral Leaching Process-Taking Pyrolusite Leaching as an Example.
Zhang Zheng Z Zhang Xianming X Zhang Dan D Zhang Xingran X Qiu Facheng F Li Wensheng W Liu Zuohua Z Shu Jiancheng J Tang Chengli C
ACS omega 20221214 51
In this study, several machine learning models were used to analyze the process variables of electric-field-enhanced pyrolusite leaching and predict the leaching rate of manganese, and the applicability of those models in the leaching process of hydrometallurgy was compared. It showed that there was no correlation between the six leaching conditions; in addition to the leaching time, the concentrations of sulfuric acid and ferrous sulfate had great influences on the leaching of pyrolusite. The r ...[more]
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