Improved Process Understanding Using Multiway Principal Component Analysis
Producing a uniform polymer by batch processing is important for the following reasons: to improve the downstream processing performance, to enable material produced at one site to be used by another, and to remain competitive. Eliminating the sources of batch-to-batch variability and tightening th...
Gespeichert in:
Veröffentlicht in: | Industrial & engineering chemistry research 1996-01, Vol.35 (1), p.138-146 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 146 |
---|---|
container_issue | 1 |
container_start_page | 138 |
container_title | Industrial & engineering chemistry research |
container_volume | 35 |
creator | Kosanovich, Karlene A Dahl, Kenneth S Piovoso, Michael J |
description | Producing a uniform polymer by batch processing is important for the following reasons: to improve the downstream processing performance, to enable material produced at one site to be used by another, and to remain competitive. Eliminating the sources of batch-to-batch variability and tightening the control of key variables are but two ways to accomplish these objectives. In this work, it is shown that multiway principal component analysis (MPCA) can be used to identify major sources of variability in the processing steps. The results show that the major source of batch-to-batch variability is due to reactor temperature variations arising from disturbances in the heating system and other heat-transfer limitations. Correlations between the variations in the processing steps and the final product properties are found, and recommendations to reduce the sources of variations are discussed. |
doi_str_mv | 10.1021/ie9502594 |
format | Article |
fullrecord | <record><control><sourceid>istex_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1021_ie9502594</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ark_67375_TPS_97MNB0TF_S</sourcerecordid><originalsourceid>FETCH-LOGICAL-a360t-7ec6157762727183839dc6ae1f16cc218dd850bc1b2d197603261c23c855bed53</originalsourceid><addsrcrecordid>eNpt0LtOwzAUBmALgUQpDLxBBhgYArYTXzKWikJRC5XazpZrO8glTSKfFMjbkyqoE4vP4O9c9CN0TfA9wZQ8eJcxTFmWnqABYRTHDKfsFA2wlDJmUrJzdAGwxRgzlqYD9Drd1aH6cjZahMo4gGhdWheg0aX15Ue0hsM73xeN_9Zth3xpfK2LaFzt6qp0ZRONSl204OESneW6AHf1V4doPXlajV_i2fvzdDyaxTrhuImFM5wwITgVVBCZyCSzhmtHcsKNoURaKxneGLKhlmSC44RyYmhiJGMbZ1kyRHf9XBMqgOByVQe_06FVBKtDCOoYQmdveltrMLrIg-7Oh2MDzVKe0QOLe-ahcT_Hbx0-FReJYGq1WKpMzN8e8Wqilp2_7b02oLbVPnQRwD_rfwGMaHZS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Improved Process Understanding Using Multiway Principal Component Analysis</title><source>ACS Publications</source><creator>Kosanovich, Karlene A ; Dahl, Kenneth S ; Piovoso, Michael J</creator><creatorcontrib>Kosanovich, Karlene A ; Dahl, Kenneth S ; Piovoso, Michael J</creatorcontrib><description>Producing a uniform polymer by batch processing is important for the following reasons: to improve the downstream processing performance, to enable material produced at one site to be used by another, and to remain competitive. Eliminating the sources of batch-to-batch variability and tightening the control of key variables are but two ways to accomplish these objectives. In this work, it is shown that multiway principal component analysis (MPCA) can be used to identify major sources of variability in the processing steps. The results show that the major source of batch-to-batch variability is due to reactor temperature variations arising from disturbances in the heating system and other heat-transfer limitations. Correlations between the variations in the processing steps and the final product properties are found, and recommendations to reduce the sources of variations are discussed.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/ie9502594</identifier><identifier>CODEN: IECRED</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Applied sciences ; Chemical engineering ; Exact sciences and technology ; Organic polymers ; Physicochemistry of polymers ; Polycondensation ; Preparation, kinetics, thermodynamics, mechanism and catalysts ; Reactors</subject><ispartof>Industrial & engineering chemistry research, 1996-01, Vol.35 (1), p.138-146</ispartof><rights>Copyright © 1996 American Chemical Society</rights><rights>1996 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a360t-7ec6157762727183839dc6ae1f16cc218dd850bc1b2d197603261c23c855bed53</citedby><cites>FETCH-LOGICAL-a360t-7ec6157762727183839dc6ae1f16cc218dd850bc1b2d197603261c23c855bed53</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/ie9502594$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ie9502594$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2946924$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Kosanovich, Karlene A</creatorcontrib><creatorcontrib>Dahl, Kenneth S</creatorcontrib><creatorcontrib>Piovoso, Michael J</creatorcontrib><title>Improved Process Understanding Using Multiway Principal Component Analysis</title><title>Industrial & engineering chemistry research</title><addtitle>Ind. Eng. Chem. Res</addtitle><description>Producing a uniform polymer by batch processing is important for the following reasons: to improve the downstream processing performance, to enable material produced at one site to be used by another, and to remain competitive. Eliminating the sources of batch-to-batch variability and tightening the control of key variables are but two ways to accomplish these objectives. In this work, it is shown that multiway principal component analysis (MPCA) can be used to identify major sources of variability in the processing steps. The results show that the major source of batch-to-batch variability is due to reactor temperature variations arising from disturbances in the heating system and other heat-transfer limitations. Correlations between the variations in the processing steps and the final product properties are found, and recommendations to reduce the sources of variations are discussed.</description><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Exact sciences and technology</subject><subject>Organic polymers</subject><subject>Physicochemistry of polymers</subject><subject>Polycondensation</subject><subject>Preparation, kinetics, thermodynamics, mechanism and catalysts</subject><subject>Reactors</subject><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNpt0LtOwzAUBmALgUQpDLxBBhgYArYTXzKWikJRC5XazpZrO8glTSKfFMjbkyqoE4vP4O9c9CN0TfA9wZQ8eJcxTFmWnqABYRTHDKfsFA2wlDJmUrJzdAGwxRgzlqYD9Drd1aH6cjZahMo4gGhdWheg0aX15Ue0hsM73xeN_9Zth3xpfK2LaFzt6qp0ZRONSl204OESneW6AHf1V4doPXlajV_i2fvzdDyaxTrhuImFM5wwITgVVBCZyCSzhmtHcsKNoURaKxneGLKhlmSC44RyYmhiJGMbZ1kyRHf9XBMqgOByVQe_06FVBKtDCOoYQmdveltrMLrIg-7Oh2MDzVKe0QOLe-ahcT_Hbx0-FReJYGq1WKpMzN8e8Wqilp2_7b02oLbVPnQRwD_rfwGMaHZS</recordid><startdate>19960101</startdate><enddate>19960101</enddate><creator>Kosanovich, Karlene A</creator><creator>Dahl, Kenneth S</creator><creator>Piovoso, Michael J</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19960101</creationdate><title>Improved Process Understanding Using Multiway Principal Component Analysis</title><author>Kosanovich, Karlene A ; Dahl, Kenneth S ; Piovoso, Michael J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a360t-7ec6157762727183839dc6ae1f16cc218dd850bc1b2d197603261c23c855bed53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Exact sciences and technology</topic><topic>Organic polymers</topic><topic>Physicochemistry of polymers</topic><topic>Polycondensation</topic><topic>Preparation, kinetics, thermodynamics, mechanism and catalysts</topic><topic>Reactors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kosanovich, Karlene A</creatorcontrib><creatorcontrib>Dahl, Kenneth S</creatorcontrib><creatorcontrib>Piovoso, Michael J</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>Kosanovich, Karlene A</au><au>Dahl, Kenneth S</au><au>Piovoso, Michael J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved Process Understanding Using Multiway Principal Component Analysis</atitle><jtitle>Industrial & engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>1996-01-01</date><risdate>1996</risdate><volume>35</volume><issue>1</issue><spage>138</spage><epage>146</epage><pages>138-146</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><coden>IECRED</coden><abstract>Producing a uniform polymer by batch processing is important for the following reasons: to improve the downstream processing performance, to enable material produced at one site to be used by another, and to remain competitive. Eliminating the sources of batch-to-batch variability and tightening the control of key variables are but two ways to accomplish these objectives. In this work, it is shown that multiway principal component analysis (MPCA) can be used to identify major sources of variability in the processing steps. The results show that the major source of batch-to-batch variability is due to reactor temperature variations arising from disturbances in the heating system and other heat-transfer limitations. Correlations between the variations in the processing steps and the final product properties are found, and recommendations to reduce the sources of variations are discussed.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/ie9502594</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0888-5885 |
ispartof | Industrial & engineering chemistry research, 1996-01, Vol.35 (1), p.138-146 |
issn | 0888-5885 1520-5045 |
language | eng |
recordid | cdi_crossref_primary_10_1021_ie9502594 |
source | ACS Publications |
subjects | Applied sciences Chemical engineering Exact sciences and technology Organic polymers Physicochemistry of polymers Polycondensation Preparation, kinetics, thermodynamics, mechanism and catalysts Reactors |
title | Improved Process Understanding Using Multiway Principal Component Analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T10%3A44%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-istex_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improved%20Process%20Understanding%20Using%20Multiway%20Principal%20Component%20Analysis&rft.jtitle=Industrial%20&%20engineering%20chemistry%20research&rft.au=Kosanovich,%20Karlene%20A&rft.date=1996-01-01&rft.volume=35&rft.issue=1&rft.spage=138&rft.epage=146&rft.pages=138-146&rft.issn=0888-5885&rft.eissn=1520-5045&rft.coden=IECRED&rft_id=info:doi/10.1021/ie9502594&rft_dat=%3Cistex_cross%3Eark_67375_TPS_97MNB0TF_S%3C/istex_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |