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Parameter estimation strategies in batch emulsion polymerization
A new method for correcting a model which simulates the particle size distribution (PSD) has been proposed for a semi-batch emulsion polymerization process involving the copolymerization reaction between vinyl acetate and butyl acrylate. It uses a least squares estimation implemented on the lines of...
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| Published in: | Chemical engineering science 2010-09, Vol.65 (17), p.4967-4982 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c359t-55282d03ee0d40ab02bb9710ea56a5c5f44b7a635565df403f22c683b0780d623 |
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| cites | cdi_FETCH-LOGICAL-c359t-55282d03ee0d40ab02bb9710ea56a5c5f44b7a635565df403f22c683b0780d623 |
| container_end_page | 4982 |
| container_issue | 17 |
| container_start_page | 4967 |
| container_title | Chemical engineering science |
| container_volume | 65 |
| creator | Mallikarjunan, Vishwanath Pushpavanam, S. David Immanuel, Charles |
| description | A new method for correcting a model which simulates the particle size distribution (PSD) has been proposed for a semi-batch emulsion polymerization process involving the copolymerization reaction between vinyl acetate and butyl acrylate. It uses a least squares estimation implemented on the lines of the moving horizon estimation. The work focuses on two important aspects:
(i)
To see how parameter estimation can be performed without making any assumption on the process or measurement noise.
(ii)
Using correction factors in the model equations as independent handles for driving the model predictions of the PSD to that of experiments.
The approach gives us an insight into the nature of the error present in the model. The results indicate that the parameter estimation can be made effective by using a minimum number of experimental data for estimation purposes. |
| doi_str_mv | 10.1016/j.ces.2010.05.027 |
| format | article |
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(i)
To see how parameter estimation can be performed without making any assumption on the process or measurement noise.
(ii)
Using correction factors in the model equations as independent handles for driving the model predictions of the PSD to that of experiments.
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(i)
To see how parameter estimation can be performed without making any assumption on the process or measurement noise.
(ii)
Using correction factors in the model equations as independent handles for driving the model predictions of the PSD to that of experiments.
The approach gives us an insight into the nature of the error present in the model. The results indicate that the parameter estimation can be made effective by using a minimum number of experimental data for estimation purposes.</description><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Copolymerization</subject><subject>Emulsion polymerization</subject><subject>Exact sciences and technology</subject><subject>Least squares method</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Moving horizon estimation</subject><subject>Organic polymers</subject><subject>Parameter estimation</subject><subject>Particle size distribution</subject><subject>Physicochemistry of polymers</subject><subject>Polymerization</subject><subject>Preparation, kinetics, thermodynamics, mechanism and catalysts</subject><subject>Strategy</subject><subject>Vinyl acetate</subject><issn>0009-2509</issn><issn>1873-4405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9ULtOAzEQtBBIhMAH0F2DqC6s7fM9RAOKeEmRoIDa8vn2wNE9gtdBCl-PQyJKqtVoZ3ZnhrFzDjMOPL9azizSTEDEoGYgigM24WUh0ywDdcgmAFClQkF1zE6IlhEWBYcJu3kx3vQY0CdIwfUmuHFIKHgT8N0hJW5IahPsR4L9uqPtcjV2mx69-_7lnrKj1nSEZ_s5ZW_3d6_zx3Tx_PA0v12kVqoqpEqJUjQgEaHJwNQg6rqKDtCo3Cir2iyrC5NLpXLVtBnIVgibl7KGooQmF3LKLnd3V378XEevundksevMgOOadKFkXnIuVWTyHdP6kchjq1c-BvMbzUFvy9JLHcvS27I0KB3LipqL_XVD1nStN4N19CcUEjJeRTtTdr3jYYz65dBrsg4Hi43zaINuRvfPlx80U36-</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Mallikarjunan, Vishwanath</creator><creator>Pushpavanam, S.</creator><creator>David Immanuel, Charles</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>20100901</creationdate><title>Parameter estimation strategies in batch emulsion polymerization</title><author>Mallikarjunan, Vishwanath ; Pushpavanam, S. ; David Immanuel, Charles</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-55282d03ee0d40ab02bb9710ea56a5c5f44b7a635565df403f22c683b0780d623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Copolymerization</topic><topic>Emulsion polymerization</topic><topic>Exact sciences and technology</topic><topic>Least squares method</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Moving horizon estimation</topic><topic>Organic polymers</topic><topic>Parameter estimation</topic><topic>Particle size distribution</topic><topic>Physicochemistry of polymers</topic><topic>Polymerization</topic><topic>Preparation, kinetics, thermodynamics, mechanism and catalysts</topic><topic>Strategy</topic><topic>Vinyl acetate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mallikarjunan, Vishwanath</creatorcontrib><creatorcontrib>Pushpavanam, S.</creatorcontrib><creatorcontrib>David Immanuel, Charles</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Chemical engineering science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mallikarjunan, Vishwanath</au><au>Pushpavanam, S.</au><au>David Immanuel, Charles</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Parameter estimation strategies in batch emulsion polymerization</atitle><jtitle>Chemical engineering science</jtitle><date>2010-09-01</date><risdate>2010</risdate><volume>65</volume><issue>17</issue><spage>4967</spage><epage>4982</epage><pages>4967-4982</pages><issn>0009-2509</issn><eissn>1873-4405</eissn><coden>CESCAC</coden><abstract>A new method for correcting a model which simulates the particle size distribution (PSD) has been proposed for a semi-batch emulsion polymerization process involving the copolymerization reaction between vinyl acetate and butyl acrylate. It uses a least squares estimation implemented on the lines of the moving horizon estimation. The work focuses on two important aspects:
(i)
To see how parameter estimation can be performed without making any assumption on the process or measurement noise.
(ii)
Using correction factors in the model equations as independent handles for driving the model predictions of the PSD to that of experiments.
The approach gives us an insight into the nature of the error present in the model. The results indicate that the parameter estimation can be made effective by using a minimum number of experimental data for estimation purposes.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ces.2010.05.027</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0009-2509 |
| ispartof | Chemical engineering science, 2010-09, Vol.65 (17), p.4967-4982 |
| issn | 0009-2509 1873-4405 |
| language | eng |
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| source | ScienceDirect Journals |
| subjects | Applied sciences Chemical engineering Copolymerization Emulsion polymerization Exact sciences and technology Least squares method Mathematical analysis Mathematical models Moving horizon estimation Organic polymers Parameter estimation Particle size distribution Physicochemistry of polymers Polymerization Preparation, kinetics, thermodynamics, mechanism and catalysts Strategy Vinyl acetate |
| title | Parameter estimation strategies in batch emulsion polymerization |
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