FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN

In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the flotation process. In the present investigation, a...

Full description

Saved in:
Bibliographic Details
Published in:Chemical engineering communications 2014-07, Vol.201 (7), p.896-908
Main Authors: Saravani, A. J., Mehrshad, N., Massinaei, M.
Format: Article
Language:English
Subjects:
Chemical engineering
Columns (process)
Computer simulation
Control systems
Controllers
Flotation
Flotation column
Froth flotation
Fuzzy
Fuzzy controller
Fuzzy logic
Fuzzy modeling
Logic rules
Metallurgy
Minerals
Simulation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53
cites cdi_FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53
container_end_page 908
container_issue 7
container_start_page 896
container_title Chemical engineering communications
container_volume 201
creator Saravani, A. J.
Mehrshad, N.
Massinaei, M.
description In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the flotation process. In the present investigation, a fuzzy model was developed to simulate the relationship between the process conditions (i.e., gas velocity, slurry solids %, frother dosage, and frother type) and the metallurgical performance of an industrial flotation column in a copper concentrator in Iran. Afterwards, an intelligent model-based control system was designed to control the process performance at the desired level using fuzzy logic rules. Simulation results show that the developed controller is capable of maintaining the process performance at its target level within a reasonable time.
doi_str_mv 10.1080/00986445.2013.790815
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1709794443</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3268721501</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53</originalsourceid><addsrcrecordid>eNqF0UFPwjAUB_DGaCKi38DDEi9ehq9rR7uTGYzhkrElsB3k0nRjTSCDYQsxfHtL0IsHPfX15fde0v4ResQwwMDhBSDgQ0r9gQeYDFgAHPtXqIf9IXF927tGvTNxz-YW3RmzAQsJxj00isvl8t0dhYtJ5MzyaJIm2dQJs8gZ51kxz1Mnj-3VSbKoXBTzJEydOM2LsEjyzJK0nGX36EbJ1jQP32cflfGkGL-5aT5NxmHq1pTwg8s5rYiivFbEkx7HBBosvRWQig3ZCmxFKVSMMK9SEoJKVYySgCjWAK8b5ZM-er7s3evu49iYg9iuTd20rdw13dEIzCBgAaWU_E99iinl1Bta-vSLbrqj3tmHWGU_yeceB6voRdW6M0Y3Suz1eiv1SWAQ5wzETwbinIG4ZGDHXi9j653q9FZ-drpdiYM8tZ1WWu7qtRHkzw1fWl-Edw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1513358280</pqid></control><display><type>article</type><title>FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN</title><source>Taylor and Francis:Jisc Collections:Taylor and Francis Read and Publish Agreement 2024-2025:Science and Technology Collection (Reading list)</source><creator>Saravani, A. J. ; Mehrshad, N. ; Massinaei, M.</creator><creatorcontrib>Saravani, A. J. ; Mehrshad, N. ; Massinaei, M.</creatorcontrib><description>In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the flotation process. In the present investigation, a fuzzy model was developed to simulate the relationship between the process conditions (i.e., gas velocity, slurry solids %, frother dosage, and frother type) and the metallurgical performance of an industrial flotation column in a copper concentrator in Iran. Afterwards, an intelligent model-based control system was designed to control the process performance at the desired level using fuzzy logic rules. Simulation results show that the developed controller is capable of maintaining the process performance at its target level within a reasonable time.</description><identifier>ISSN: 0098-6445</identifier><identifier>EISSN: 1563-5201</identifier><identifier>DOI: 10.1080/00986445.2013.790815</identifier><language>eng</language><publisher>Philadelphia: Taylor &amp; Francis Group</publisher><subject>Chemical engineering ; Columns (process) ; Computer simulation ; Control systems ; Controllers ; Flotation ; Flotation column ; Froth flotation ; Fuzzy ; Fuzzy controller ; Fuzzy logic ; Fuzzy modeling ; Logic rules ; Metallurgy ; Minerals ; Simulation</subject><ispartof>Chemical engineering communications, 2014-07, Vol.201 (7), p.896-908</ispartof><rights>Copyright Taylor &amp; Francis Group, LLC 2014</rights><rights>Copyright Taylor &amp; Francis Ltd. 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53</citedby><cites>FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Saravani, A. J.</creatorcontrib><creatorcontrib>Mehrshad, N.</creatorcontrib><creatorcontrib>Massinaei, M.</creatorcontrib><title>FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN</title><title>Chemical engineering communications</title><description>In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the flotation process. In the present investigation, a fuzzy model was developed to simulate the relationship between the process conditions (i.e., gas velocity, slurry solids %, frother dosage, and frother type) and the metallurgical performance of an industrial flotation column in a copper concentrator in Iran. Afterwards, an intelligent model-based control system was designed to control the process performance at the desired level using fuzzy logic rules. Simulation results show that the developed controller is capable of maintaining the process performance at its target level within a reasonable time.</description><subject>Chemical engineering</subject><subject>Columns (process)</subject><subject>Computer simulation</subject><subject>Control systems</subject><subject>Controllers</subject><subject>Flotation</subject><subject>Flotation column</subject><subject>Froth flotation</subject><subject>Fuzzy</subject><subject>Fuzzy controller</subject><subject>Fuzzy logic</subject><subject>Fuzzy modeling</subject><subject>Logic rules</subject><subject>Metallurgy</subject><subject>Minerals</subject><subject>Simulation</subject><issn>0098-6445</issn><issn>1563-5201</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqF0UFPwjAUB_DGaCKi38DDEi9ehq9rR7uTGYzhkrElsB3k0nRjTSCDYQsxfHtL0IsHPfX15fde0v4ResQwwMDhBSDgQ0r9gQeYDFgAHPtXqIf9IXF927tGvTNxz-YW3RmzAQsJxj00isvl8t0dhYtJ5MzyaJIm2dQJs8gZ51kxz1Mnj-3VSbKoXBTzJEydOM2LsEjyzJK0nGX36EbJ1jQP32cflfGkGL-5aT5NxmHq1pTwg8s5rYiivFbEkx7HBBosvRWQig3ZCmxFKVSMMK9SEoJKVYySgCjWAK8b5ZM-er7s3evu49iYg9iuTd20rdw13dEIzCBgAaWU_E99iinl1Bta-vSLbrqj3tmHWGU_yeceB6voRdW6M0Y3Suz1eiv1SWAQ5wzETwbinIG4ZGDHXi9j653q9FZ-drpdiYM8tZ1WWu7qtRHkzw1fWl-Edw</recordid><startdate>20140703</startdate><enddate>20140703</enddate><creator>Saravani, A. J.</creator><creator>Mehrshad, N.</creator><creator>Massinaei, M.</creator><general>Taylor &amp; Francis Group</general><general>Taylor &amp; Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>7SC</scope><scope>JQ2</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140703</creationdate><title>FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN</title><author>Saravani, A. J. ; Mehrshad, N. ; Massinaei, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Chemical engineering</topic><topic>Columns (process)</topic><topic>Computer simulation</topic><topic>Control systems</topic><topic>Controllers</topic><topic>Flotation</topic><topic>Flotation column</topic><topic>Froth flotation</topic><topic>Fuzzy</topic><topic>Fuzzy controller</topic><topic>Fuzzy logic</topic><topic>Fuzzy modeling</topic><topic>Logic rules</topic><topic>Metallurgy</topic><topic>Minerals</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saravani, A. J.</creatorcontrib><creatorcontrib>Mehrshad, N.</creatorcontrib><creatorcontrib>Massinaei, M.</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Chemical engineering communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saravani, A. J.</au><au>Mehrshad, N.</au><au>Massinaei, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN</atitle><jtitle>Chemical engineering communications</jtitle><date>2014-07-03</date><risdate>2014</risdate><volume>201</volume><issue>7</issue><spage>896</spage><epage>908</epage><pages>896-908</pages><issn>0098-6445</issn><eissn>1563-5201</eissn><abstract>In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the flotation process. In the present investigation, a fuzzy model was developed to simulate the relationship between the process conditions (i.e., gas velocity, slurry solids %, frother dosage, and frother type) and the metallurgical performance of an industrial flotation column in a copper concentrator in Iran. Afterwards, an intelligent model-based control system was designed to control the process performance at the desired level using fuzzy logic rules. Simulation results show that the developed controller is capable of maintaining the process performance at its target level within a reasonable time.</abstract><cop>Philadelphia</cop><pub>Taylor &amp; Francis Group</pub><doi>10.1080/00986445.2013.790815</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0098-6445
ispartof Chemical engineering communications, 2014-07, Vol.201 (7), p.896-908
issn 0098-6445
1563-5201
language eng
recordid cdi_proquest_miscellaneous_1709794443
source Taylor and Francis:Jisc Collections:Taylor and Francis Read and Publish Agreement 2024-2025:Science and Technology Collection (Reading list)
subjects Chemical engineering
Columns (process)
Computer simulation
Control systems
Controllers
Flotation
Flotation column
Froth flotation
Fuzzy
Fuzzy controller
Fuzzy logic
Fuzzy modeling
Logic rules
Metallurgy
Minerals
Simulation
title FUZZY-BASED MODELING AND CONTROL OF AN INDUSTRIAL FLOTATION COLUMN
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T20%3A29%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=FUZZY-BASED%20MODELING%20AND%20CONTROL%20OF%20AN%20INDUSTRIAL%20FLOTATION%20COLUMN&rft.jtitle=Chemical%20engineering%20communications&rft.au=Saravani,%20A.%20J.&rft.date=2014-07-03&rft.volume=201&rft.issue=7&rft.spage=896&rft.epage=908&rft.pages=896-908&rft.issn=0098-6445&rft.eissn=1563-5201&rft_id=info:doi/10.1080/00986445.2013.790815&rft_dat=%3Cproquest_cross%3E3268721501%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c438t-884b3f48cf32a28130e1a2d03b767d02d0440b7372bfa09bfb74393f7e08cef53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1513358280&rft_id=info:pmid/&rfr_iscdi=true