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Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology

[Image: see text] The investigation of the dielectric properties of bastnasite concentrate has critical directing centrality for the microwave roasting process of bastnasite concentrate. The dielectric properties are correlated with information such as thermogravimetry–differential scanning calorime...

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Autores principales: Zheng, Qiyuan, Xu, Yanhui, Ma, Shengfeng, Tian, Yu, Guan, Weihua, Li, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153756/
https://www.ncbi.nlm.nih.gov/pubmed/34056201
http://dx.doi.org/10.1021/acsomega.1c01218
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author Zheng, Qiyuan
Xu, Yanhui
Ma, Shengfeng
Tian, Yu
Guan, Weihua
Li, Yu
author_facet Zheng, Qiyuan
Xu, Yanhui
Ma, Shengfeng
Tian, Yu
Guan, Weihua
Li, Yu
author_sort Zheng, Qiyuan
collection PubMed
description [Image: see text] The investigation of the dielectric properties of bastnasite concentrate has critical directing centrality for the microwave roasting process of bastnasite concentrate. The dielectric properties are correlated with information such as thermogravimetry–differential scanning calorimetry and temperature rise curves. This combination permits a targeted study of the mechanism of the microwave roasting process, providing new evidence about the unique conditions of this microwave roasting process. This work also explores the response surface methodology based on a central composite design to optimize the microwave non-oxidative roasting process. Single-factor tests were conducted to determine the suitable range of factors such as the content of activated carbon, holding time, and roasting temperature. The interactions between parameters were investigated through the analysis of variance method. It was indicated that the models are available to navigate the design space. Also, the optimal roasting temperature, content of activated carbon, and holding time were 1100 °C, 20%, and 21.5 min, respectively. Under these conditions, the decomposition rate of bastnasite concentrate (hereinafter to be referred as DRBC) and the oxidation rate of cerium (hereinafter to be referred as ORC) was 99.8% and less than 0.3%, respectively. The new non-oxidizing roasting method significantly shortens the roasting time, reduces the energy consumption, and has great significance for industrial applications.
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spelling pubmed-81537562021-05-27 Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology Zheng, Qiyuan Xu, Yanhui Ma, Shengfeng Tian, Yu Guan, Weihua Li, Yu ACS Omega [Image: see text] The investigation of the dielectric properties of bastnasite concentrate has critical directing centrality for the microwave roasting process of bastnasite concentrate. The dielectric properties are correlated with information such as thermogravimetry–differential scanning calorimetry and temperature rise curves. This combination permits a targeted study of the mechanism of the microwave roasting process, providing new evidence about the unique conditions of this microwave roasting process. This work also explores the response surface methodology based on a central composite design to optimize the microwave non-oxidative roasting process. Single-factor tests were conducted to determine the suitable range of factors such as the content of activated carbon, holding time, and roasting temperature. The interactions between parameters were investigated through the analysis of variance method. It was indicated that the models are available to navigate the design space. Also, the optimal roasting temperature, content of activated carbon, and holding time were 1100 °C, 20%, and 21.5 min, respectively. Under these conditions, the decomposition rate of bastnasite concentrate (hereinafter to be referred as DRBC) and the oxidation rate of cerium (hereinafter to be referred as ORC) was 99.8% and less than 0.3%, respectively. The new non-oxidizing roasting method significantly shortens the roasting time, reduces the energy consumption, and has great significance for industrial applications. American Chemical Society 2021-04-09 /pmc/articles/PMC8153756/ /pubmed/34056201 http://dx.doi.org/10.1021/acsomega.1c01218 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Zheng, Qiyuan
Xu, Yanhui
Ma, Shengfeng
Tian, Yu
Guan, Weihua
Li, Yu
Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title_full Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title_fullStr Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title_full_unstemmed Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title_short Process Optimization and Modeling of Microwave Roasting of Bastnasite Concentrate Using Response Surface Methodology
title_sort process optimization and modeling of microwave roasting of bastnasite concentrate using response surface methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153756/
https://www.ncbi.nlm.nih.gov/pubmed/34056201
http://dx.doi.org/10.1021/acsomega.1c01218
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