Particle Size Distribution Determination from Spectral Extinction Using Neural Networks
The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size di...
Gespeichert in:
| Veröffentlicht in: | Industrial & engineering chemistry research 2001-10, Vol.40 (21), p.4615-4622 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4622 |
|---|---|
| container_issue | 21 |
| container_start_page | 4615 |
| container_title | Industrial & engineering chemistry research |
| container_volume | 40 |
| creator | Li, Mingzhong Frette, Thor Wilkinson, Derek |
| description | The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size distributions using neural networks from several spectral extinction measurements. Simulations and experiments have illustrated that it is feasible to use a neural network to obtain the parameters of a particle size distribution from turbidity measurements. Although the neural network was trained using log-normal distribution data, it can be used to recover some non-log-normal distributions. The method has advantages of simplicity of use, instantaneous delivery of results, and suitability for online particle size analysis. |
| doi_str_mv | 10.1021/ie000826+ |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_21489641</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>583239</sourcerecordid><originalsourceid>FETCH-LOGICAL-a353t-9eda21b0cdb923ab24293e6a3fb5c16f582466812275dba202d4f71a0255ae033</originalsourceid><addsrcrecordid>eNpl0EtLw0AQB_BFFKyPg98gBxVBovtMtkepWi3iqxWPy2Q7kdU0qbsbfHx6o_Vx8DTMzI8Z-BOyxegBo5wdOqSUap7tL5EeU5ymikq1THpUa50qrdUqWQvhsUNKSdkj99fgo7MVJmP3jsmxC9G7oo2uqZNjjOhnroavrvTNLBnP0UYPVXLyGl1tvxZ3wdUPySW2n_NLjC-NfwobZKWEKuDmd10nd6cnk8FZenE1PB8cXaQglIhpH6fAWUHttOhzAQWXvC8wA1EWyrKsVJrLLNOM81xNC-CUT2WZM6BcKUAqxDrZXdyd--a5xRDNzAWLVQU1Nm0wnEndzyTr4N4CWt-E4LE0c-9m4N8Mo-YzOvMTXUd3vm9CsFCVHmrrwp-XVAua551LF64LDV9_9-CfTJaLXJnJ9dhMBtnN8JaOzKjz2wsPNpjHpvV1l8z_9x_-f4iL</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>21489641</pqid></control><display><type>article</type><title>Particle Size Distribution Determination from Spectral Extinction Using Neural Networks</title><source>American Chemical Society Journals</source><creator>Li, Mingzhong ; Frette, Thor ; Wilkinson, Derek</creator><creatorcontrib>Li, Mingzhong ; Frette, Thor ; Wilkinson, Derek</creatorcontrib><description>The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size distributions using neural networks from several spectral extinction measurements. Simulations and experiments have illustrated that it is feasible to use a neural network to obtain the parameters of a particle size distribution from turbidity measurements. Although the neural network was trained using log-normal distribution data, it can be used to recover some non-log-normal distributions. The method has advantages of simplicity of use, instantaneous delivery of results, and suitability for online particle size analysis.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/ie000826+</identifier><identifier>CODEN: IECRED</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Applied sciences ; Chemical engineering ; Chemistry ; Colloidal state and disperse state ; Computer simulation ; Exact sciences and technology ; General and physical chemistry ; Metrology, automation ; Neural networks ; Parameter estimation ; Physical and chemical studies. Granulometry. Electrokinetic phenomena ; Spectrum analysis ; Turbidity</subject><ispartof>Industrial & engineering chemistry research, 2001-10, Vol.40 (21), p.4615-4622</ispartof><rights>Copyright © 2001 American Chemical Society</rights><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a353t-9eda21b0cdb923ab24293e6a3fb5c16f582466812275dba202d4f71a0255ae033</citedby><cites>FETCH-LOGICAL-a353t-9eda21b0cdb923ab24293e6a3fb5c16f582466812275dba202d4f71a0255ae033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ie000826+$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ie000826+$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14083077$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Mingzhong</creatorcontrib><creatorcontrib>Frette, Thor</creatorcontrib><creatorcontrib>Wilkinson, Derek</creatorcontrib><title>Particle Size Distribution Determination from Spectral Extinction Using Neural Networks</title><title>Industrial & engineering chemistry research</title><addtitle>Ind. Eng. Chem. Res</addtitle><description>The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size distributions using neural networks from several spectral extinction measurements. Simulations and experiments have illustrated that it is feasible to use a neural network to obtain the parameters of a particle size distribution from turbidity measurements. Although the neural network was trained using log-normal distribution data, it can be used to recover some non-log-normal distributions. The method has advantages of simplicity of use, instantaneous delivery of results, and suitability for online particle size analysis.</description><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Chemistry</subject><subject>Colloidal state and disperse state</subject><subject>Computer simulation</subject><subject>Exact sciences and technology</subject><subject>General and physical chemistry</subject><subject>Metrology, automation</subject><subject>Neural networks</subject><subject>Parameter estimation</subject><subject>Physical and chemical studies. Granulometry. Electrokinetic phenomena</subject><subject>Spectrum analysis</subject><subject>Turbidity</subject><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNpl0EtLw0AQB_BFFKyPg98gBxVBovtMtkepWi3iqxWPy2Q7kdU0qbsbfHx6o_Vx8DTMzI8Z-BOyxegBo5wdOqSUap7tL5EeU5ymikq1THpUa50qrdUqWQvhsUNKSdkj99fgo7MVJmP3jsmxC9G7oo2uqZNjjOhnroavrvTNLBnP0UYPVXLyGl1tvxZ3wdUPySW2n_NLjC-NfwobZKWEKuDmd10nd6cnk8FZenE1PB8cXaQglIhpH6fAWUHttOhzAQWXvC8wA1EWyrKsVJrLLNOM81xNC-CUT2WZM6BcKUAqxDrZXdyd--a5xRDNzAWLVQU1Nm0wnEndzyTr4N4CWt-E4LE0c-9m4N8Mo-YzOvMTXUd3vm9CsFCVHmrrwp-XVAua551LF64LDV9_9-CfTJaLXJnJ9dhMBtnN8JaOzKjz2wsPNpjHpvV1l8z_9x_-f4iL</recordid><startdate>20011017</startdate><enddate>20011017</enddate><creator>Li, Mingzhong</creator><creator>Frette, Thor</creator><creator>Wilkinson, Derek</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20011017</creationdate><title>Particle Size Distribution Determination from Spectral Extinction Using Neural Networks</title><author>Li, Mingzhong ; Frette, Thor ; Wilkinson, Derek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a353t-9eda21b0cdb923ab24293e6a3fb5c16f582466812275dba202d4f71a0255ae033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Chemistry</topic><topic>Colloidal state and disperse state</topic><topic>Computer simulation</topic><topic>Exact sciences and technology</topic><topic>General and physical chemistry</topic><topic>Metrology, automation</topic><topic>Neural networks</topic><topic>Parameter estimation</topic><topic>Physical and chemical studies. Granulometry. Electrokinetic phenomena</topic><topic>Spectrum analysis</topic><topic>Turbidity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Mingzhong</creatorcontrib><creatorcontrib>Frette, Thor</creatorcontrib><creatorcontrib>Wilkinson, Derek</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Industrial & engineering chemistry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Mingzhong</au><au>Frette, Thor</au><au>Wilkinson, Derek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Particle Size Distribution Determination from Spectral Extinction Using Neural Networks</atitle><jtitle>Industrial & engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>2001-10-17</date><risdate>2001</risdate><volume>40</volume><issue>21</issue><spage>4615</spage><epage>4622</epage><pages>4615-4622</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><coden>IECRED</coden><abstract>The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size distributions using neural networks from several spectral extinction measurements. Simulations and experiments have illustrated that it is feasible to use a neural network to obtain the parameters of a particle size distribution from turbidity measurements. Although the neural network was trained using log-normal distribution data, it can be used to recover some non-log-normal distributions. The method has advantages of simplicity of use, instantaneous delivery of results, and suitability for online particle size analysis.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/ie000826+</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0888-5885 |
| ispartof | Industrial & engineering chemistry research, 2001-10, Vol.40 (21), p.4615-4622 |
| issn | 0888-5885 1520-5045 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_21489641 |
| source | American Chemical Society Journals |
| subjects | Applied sciences Chemical engineering Chemistry Colloidal state and disperse state Computer simulation Exact sciences and technology General and physical chemistry Metrology, automation Neural networks Parameter estimation Physical and chemical studies. Granulometry. Electrokinetic phenomena Spectrum analysis Turbidity |
| title | Particle Size Distribution Determination from Spectral Extinction Using Neural Networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T00%3A24%3A37IST&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=Particle%20Size%20Distribution%20Determination%20from%20Spectral%20Extinction%20Using%20Neural%20Networks&rft.jtitle=Industrial%20&%20engineering%20chemistry%20research&rft.au=Li,%20Mingzhong&rft.date=2001-10-17&rft.volume=40&rft.issue=21&rft.spage=4615&rft.epage=4622&rft.pages=4615-4622&rft.issn=0888-5885&rft.eissn=1520-5045&rft.coden=IECRED&rft_id=info:doi/10.1021/ie000826+&rft_dat=%3Cproquest_cross%3E583239%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=21489641&rft_id=info:pmid/&rfr_iscdi=true |