Design, Modeling, Optimization and Control of Flotation Process
The ultimate goal of a flotation process is to achieve the economically optimum combination of the desired mineral grade and recovery in the final concentrate from a feed of varying composition. The industrial operation of froth flotation faces many challenges, such as sudden decreases in the recove...
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| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20240704_9783725813964_170 |
| ট্যাগগুলো: |
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| _version_ | 1869521910706995200 |
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| collection | Directory of Open Access Books |
| description | The ultimate goal of a flotation process is to achieve the economically optimum combination of the desired mineral grade and recovery in the final concentrate from a feed of varying composition. The industrial operation of froth flotation faces many challenges, such as sudden decreases in the recovery and grade of recovered materials. The quality of the final concentrate determines the success of the downstream processes, and achieving optimum metallurgical performance requires proper characterization, optimization, and control of the process. The efficiency of a flotation circuit operation relies on several factors that are pertinent to mineral nature and structure (variability of ore feed, particle size, mineralogy, and morphology) and the type of instrumentation and operational parameters (design parameters, reagents, quality of process water, air flow rate, and solid content) used, which require both advanced theoretical and practical studies. Hence, new techniques in the fields of design, modeling, optimization, and control of flotation processes have attracted much attention.This Special Issue is dedicated to the latest findings on methodologies, applications, and case studies regarding flotation to improve process efficiency, reduce energy consumption, and increase the sustainability of these processes. It provides a wide range of research and practical topics, including those related to design, simulation and instrumentation, and process control. |
| format | Online |
| id | doab-20.500.12854ir-139374 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1393742024-07-04T09:47:39Z Design, Modeling, Optimization and Control of Flotation Process Nakhaei, Fardis Hassanzadeh, Ahmad Cisternas, Luis A. global sensitivity analysis uncertainty control structure SX process SAG mill copper ore flotation recurrent neural network predictive geometallurgy long short-term memory (LSTM) gated recurrent unit (GRU) flotation foam image processing image segmentation machine vision intelligent column flotation sulfur removal iron ore prediction multiple linear regression neural network k-means clustering convolutional neural network copper flotation fuzzy logic artificial neural network mathematical modeling gas dispersion flotation bubble size Sauter diameter froth flotation drainage drift flux mathematical model partial differential equation steady state numerical simulation PGM species PGE floatability kinetic model Platreef recovery gold-bearing ore fine particles flotation scheme carrier minerals wall correction slip correction field experiments gold microdispersions wetting film stability slip correction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering The ultimate goal of a flotation process is to achieve the economically optimum combination of the desired mineral grade and recovery in the final concentrate from a feed of varying composition. The industrial operation of froth flotation faces many challenges, such as sudden decreases in the recovery and grade of recovered materials. The quality of the final concentrate determines the success of the downstream processes, and achieving optimum metallurgical performance requires proper characterization, optimization, and control of the process. The efficiency of a flotation circuit operation relies on several factors that are pertinent to mineral nature and structure (variability of ore feed, particle size, mineralogy, and morphology) and the type of instrumentation and operational parameters (design parameters, reagents, quality of process water, air flow rate, and solid content) used, which require both advanced theoretical and practical studies. Hence, new techniques in the fields of design, modeling, optimization, and control of flotation processes have attracted much attention.This Special Issue is dedicated to the latest findings on methodologies, applications, and case studies regarding flotation to improve process efficiency, reduce energy consumption, and increase the sustainability of these processes. It provides a wide range of research and practical topics, including those related to design, simulation and instrumentation, and process control. 2024-07-04T09:47:37Z 2024-07-04T09:47:37Z 2024 book ONIX_20240704_9783725813964_170 9783725813964 9783725813957 https://directory.doabooks.org/handle/20.500.12854/139374 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9372 https://mdpi.com/books/pdfview/book/9372 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1395-7 10.3390/books978-3-7258-1395-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725813964 9783725813957 254 open access |
| spellingShingle | global sensitivity analysis uncertainty control structure SX process SAG mill copper ore flotation recurrent neural network predictive geometallurgy long short-term memory (LSTM) gated recurrent unit (GRU) flotation foam image processing image segmentation machine vision intelligent column flotation sulfur removal iron ore prediction multiple linear regression neural network k-means clustering convolutional neural network copper flotation fuzzy logic artificial neural network mathematical modeling gas dispersion flotation bubble size Sauter diameter froth flotation drainage drift flux mathematical model partial differential equation steady state numerical simulation PGM species PGE floatability kinetic model Platreef recovery gold-bearing ore fine particles flotation scheme carrier minerals wall correction slip correction field experiments gold microdispersions wetting film stability slip correction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering Design, Modeling, Optimization and Control of Flotation Process |
| title | Design, Modeling, Optimization and Control of Flotation Process |
| title_full | Design, Modeling, Optimization and Control of Flotation Process |
| title_fullStr | Design, Modeling, Optimization and Control of Flotation Process |
| title_full_unstemmed | Design, Modeling, Optimization and Control of Flotation Process |
| title_short | Design, Modeling, Optimization and Control of Flotation Process |
| title_sort | design modeling optimization and control of flotation process |
| topic | global sensitivity analysis uncertainty control structure SX process SAG mill copper ore flotation recurrent neural network predictive geometallurgy long short-term memory (LSTM) gated recurrent unit (GRU) flotation foam image processing image segmentation machine vision intelligent column flotation sulfur removal iron ore prediction multiple linear regression neural network k-means clustering convolutional neural network copper flotation fuzzy logic artificial neural network mathematical modeling gas dispersion flotation bubble size Sauter diameter froth flotation drainage drift flux mathematical model partial differential equation steady state numerical simulation PGM species PGE floatability kinetic model Platreef recovery gold-bearing ore fine particles flotation scheme carrier minerals wall correction slip correction field experiments gold microdispersions wetting film stability slip correction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering |
| topic_facet | global sensitivity analysis uncertainty control structure SX process SAG mill copper ore flotation recurrent neural network predictive geometallurgy long short-term memory (LSTM) gated recurrent unit (GRU) flotation foam image processing image segmentation machine vision intelligent column flotation sulfur removal iron ore prediction multiple linear regression neural network k-means clustering convolutional neural network copper flotation fuzzy logic artificial neural network mathematical modeling gas dispersion flotation bubble size Sauter diameter froth flotation drainage drift flux mathematical model partial differential equation steady state numerical simulation PGM species PGE floatability kinetic model Platreef recovery gold-bearing ore fine particles flotation scheme carrier minerals wall correction slip correction field experiments gold microdispersions wetting film stability slip correction n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineering |
| url | ONIX_20240704_9783725813964_170 |