Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology

Phosphorus extraction from phosphorus rock was conducted by carbothermal reduction with silica and coke. The effects of reaction temperature, reaction time, coke excess coefficient, molar ratio of silicon–calcium, and phosphorus rock particle size on the phosphorus reduction rate were investigated b...

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Main Authors: Luo Biwei, Li Pengfei, Li Yan, He Pengpeng, Ji Jun, He Dongsheng, Tian Qifeng
Format: Article
Language:English
Published: De Gruyter 2020-06-01
Series:Green Processing and Synthesis
Subjects:
Online Access:https://doi.org/10.1515/gps-2020-0035
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author Luo Biwei
Li Pengfei
Li Yan
He Pengpeng
Ji Jun
He Dongsheng
Tian Qifeng
author_facet Luo Biwei
Li Pengfei
Li Yan
He Pengpeng
Ji Jun
He Dongsheng
Tian Qifeng
author_sort Luo Biwei
collection DOAJ
description Phosphorus extraction from phosphorus rock was conducted by carbothermal reduction with silica and coke. The effects of reaction temperature, reaction time, coke excess coefficient, molar ratio of silicon–calcium, and phosphorus rock particle size on the phosphorus reduction rate were investigated by the response surface methodology (RSM). The central composite design (CCD) with five factors and five levels was used to explore the effects of variables’ interactions on the phosphorus reduction rate. The results showed that there are significant interactions between reaction time and temperature; reaction temperature and molar ratio of silicon–calcium; reaction temperature and phosphorus rock particle size; coke excess coefficient and molar ratio of silicon–calcium; and coke excess coefficient and phosphorus rock particle size. The optimum conditions in the experimental range are reaction time 92 min, reaction temperature 1340°C, coke excess coefficient 1.27, molar ratio of silicon–calcium 1.28, and phosphorus rock particle size 75–106 µm, which were derived from the quadratic statistic model. Under these conditions, the phosphorus reduction rate can reach 96.88%, which is close to the model prediction value 99.40%. The optimized carbothermal reduction conditions of phosphorus rock by the RSM are helpful to reduce the energy cost of thermal phosphoric acid process.
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spelling doaj.art-34715eb142d2421c8b042096426c6c042022-12-21T23:28:56ZengDe GruyterGreen Processing and Synthesis2191-95422191-95502020-06-019134935810.1515/gps-2020-0035gps-2020-0035Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodologyLuo Biwei0Li Pengfei1Li Yan2He Pengpeng3Ji Jun4He Dongsheng5Tian Qifeng6School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaKey Laboratory of Green Chemical Process of Ministry of Education and Key Laboratory of Novel Reactor and Green Chemical Technology of Hubei Province, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, ChinaPhosphorus extraction from phosphorus rock was conducted by carbothermal reduction with silica and coke. The effects of reaction temperature, reaction time, coke excess coefficient, molar ratio of silicon–calcium, and phosphorus rock particle size on the phosphorus reduction rate were investigated by the response surface methodology (RSM). The central composite design (CCD) with five factors and five levels was used to explore the effects of variables’ interactions on the phosphorus reduction rate. The results showed that there are significant interactions between reaction time and temperature; reaction temperature and molar ratio of silicon–calcium; reaction temperature and phosphorus rock particle size; coke excess coefficient and molar ratio of silicon–calcium; and coke excess coefficient and phosphorus rock particle size. The optimum conditions in the experimental range are reaction time 92 min, reaction temperature 1340°C, coke excess coefficient 1.27, molar ratio of silicon–calcium 1.28, and phosphorus rock particle size 75–106 µm, which were derived from the quadratic statistic model. Under these conditions, the phosphorus reduction rate can reach 96.88%, which is close to the model prediction value 99.40%. The optimized carbothermal reduction conditions of phosphorus rock by the RSM are helpful to reduce the energy cost of thermal phosphoric acid process.https://doi.org/10.1515/gps-2020-0035phosphorus rockcarbothermal reduction reactionresponse surface methodologyoptimization
spellingShingle Luo Biwei
Li Pengfei
Li Yan
He Pengpeng
Ji Jun
He Dongsheng
Tian Qifeng
Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
Green Processing and Synthesis
phosphorus rock
carbothermal reduction reaction
response surface methodology
optimization
title Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
title_full Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
title_fullStr Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
title_full_unstemmed Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
title_short Optimization of medium–low-grade phosphorus rock carbothermal reduction process by response surface methodology
title_sort optimization of medium low grade phosphorus rock carbothermal reduction process by response surface methodology
topic phosphorus rock
carbothermal reduction reaction
response surface methodology
optimization
url https://doi.org/10.1515/gps-2020-0035
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AT liyan optimizationofmediumlowgradephosphorusrockcarbothermalreductionprocessbyresponsesurfacemethodology
AT hepengpeng optimizationofmediumlowgradephosphorusrockcarbothermalreductionprocessbyresponsesurfacemethodology
AT jijun optimizationofmediumlowgradephosphorusrockcarbothermalreductionprocessbyresponsesurfacemethodology
AT hedongsheng optimizationofmediumlowgradephosphorusrockcarbothermalreductionprocessbyresponsesurfacemethodology
AT tianqifeng optimizationofmediumlowgradephosphorusrockcarbothermalreductionprocessbyresponsesurfacemethodology