Pattern search approach to ferromagnetic material modelling

This paper deals with possible optimization‐based techniques for the identification of the parameters of Preisach‐inspired phenomenological model of vector hysteresis in ferromagnetic materials. After a summary of the key features of the phenomenological model mentioned above, the description of the...

Full description

Saved in:
Bibliographic Details
Published in:International journal of numerical modelling 2019-07, Vol.32 (4), p.n/a
Main Authors: Cardelli, E., Faba, A., Pompei, M., Quondam Antonio, S.
Format: Article
Language:English
Subjects:
Ferromagnetic materials
Hysteresis models
Iron silicide
magnetic hysteresis
Optimization
Parameter identification
Pattern search
pattern search algorithms
phenomenological modelling
Search algorithms
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-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3
cites cdi_FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3
container_end_page n/a
container_issue 4
container_start_page
container_title International journal of numerical modelling
container_volume 32
creator Cardelli, E.
Faba, A.
Pompei, M.
Quondam Antonio, S.
description This paper deals with possible optimization‐based techniques for the identification of the parameters of Preisach‐inspired phenomenological model of vector hysteresis in ferromagnetic materials. After a summary of the key features of the phenomenological model mentioned above, the description of the identification technique proposed is given. The identification technique is based on a suitable pattern search algorithm and standard measurements. Results for the FeSi Non‐Oriented Grains steel NOG are presented and discussed.
doi_str_mv 10.1002/jnm.2271
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2243116931</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2243116931</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3</originalsourceid><addsrcrecordid>eNp10MtOwzAQBVALgUQpSHxCJDZsUmbsOInFClU8VR4LWFsTxy6p8ih2KtS_x6VsWc0sjuaOLmPnCDME4FervptxXuABmyAolSKH7JBNoFRZKkQBx-wkhBUACJR8wq7faByt75NgyZvPhNZrP1BcxiFx1vuho2Vvx8YkHUXXUJt0Q23btumXp-zIURvs2d-cso-72_f5Q7p4vX-c3yxSw5XANFdUGpnlTlaVcxIhM2WpEBwpV0hbm4oK42pLFdauQFlWsjZCAuQlclS1mLKL_d342tfGhlGvho3vY6TmPBOIeYyJ6nKvjB9C8NbptW868luNoHfV6FiN3lUTabqn301rt_86_fTy_Ot_AH4iZNw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2243116931</pqid></control><display><type>article</type><title>Pattern search approach to ferromagnetic material modelling</title><source>Wiley</source><creator>Cardelli, E. ; Faba, A. ; Pompei, M. ; Quondam Antonio, S.</creator><creatorcontrib>Cardelli, E. ; Faba, A. ; Pompei, M. ; Quondam Antonio, S.</creatorcontrib><description>This paper deals with possible optimization‐based techniques for the identification of the parameters of Preisach‐inspired phenomenological model of vector hysteresis in ferromagnetic materials. After a summary of the key features of the phenomenological model mentioned above, the description of the identification technique proposed is given. The identification technique is based on a suitable pattern search algorithm and standard measurements. Results for the FeSi Non‐Oriented Grains steel NOG are presented and discussed.</description><identifier>ISSN: 0894-3370</identifier><identifier>EISSN: 1099-1204</identifier><identifier>DOI: 10.1002/jnm.2271</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Ferromagnetic materials ; Hysteresis models ; Iron silicide ; magnetic hysteresis ; Optimization ; Parameter identification ; Pattern search ; pattern search algorithms ; phenomenological modelling ; Search algorithms</subject><ispartof>International journal of numerical modelling, 2019-07, Vol.32 (4), p.n/a</ispartof><rights>Copyright © 2017 John Wiley &amp; Sons, Ltd.</rights><rights>2019 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3</citedby><cites>FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3</cites><orcidid>0000-0002-4059-9869</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Cardelli, E.</creatorcontrib><creatorcontrib>Faba, A.</creatorcontrib><creatorcontrib>Pompei, M.</creatorcontrib><creatorcontrib>Quondam Antonio, S.</creatorcontrib><title>Pattern search approach to ferromagnetic material modelling</title><title>International journal of numerical modelling</title><description>This paper deals with possible optimization‐based techniques for the identification of the parameters of Preisach‐inspired phenomenological model of vector hysteresis in ferromagnetic materials. After a summary of the key features of the phenomenological model mentioned above, the description of the identification technique proposed is given. The identification technique is based on a suitable pattern search algorithm and standard measurements. Results for the FeSi Non‐Oriented Grains steel NOG are presented and discussed.</description><subject>Ferromagnetic materials</subject><subject>Hysteresis models</subject><subject>Iron silicide</subject><subject>magnetic hysteresis</subject><subject>Optimization</subject><subject>Parameter identification</subject><subject>Pattern search</subject><subject>pattern search algorithms</subject><subject>phenomenological modelling</subject><subject>Search algorithms</subject><issn>0894-3370</issn><issn>1099-1204</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10MtOwzAQBVALgUQpSHxCJDZsUmbsOInFClU8VR4LWFsTxy6p8ih2KtS_x6VsWc0sjuaOLmPnCDME4FervptxXuABmyAolSKH7JBNoFRZKkQBx-wkhBUACJR8wq7faByt75NgyZvPhNZrP1BcxiFx1vuho2Vvx8YkHUXXUJt0Q23btumXp-zIURvs2d-cso-72_f5Q7p4vX-c3yxSw5XANFdUGpnlTlaVcxIhM2WpEBwpV0hbm4oK42pLFdauQFlWsjZCAuQlclS1mLKL_d342tfGhlGvho3vY6TmPBOIeYyJ6nKvjB9C8NbptW868luNoHfV6FiN3lUTabqn301rt_86_fTy_Ot_AH4iZNw</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Cardelli, E.</creator><creator>Faba, A.</creator><creator>Pompei, M.</creator><creator>Quondam Antonio, S.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-4059-9869</orcidid></search><sort><creationdate>201907</creationdate><title>Pattern search approach to ferromagnetic material modelling</title><author>Cardelli, E. ; Faba, A. ; Pompei, M. ; Quondam Antonio, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Ferromagnetic materials</topic><topic>Hysteresis models</topic><topic>Iron silicide</topic><topic>magnetic hysteresis</topic><topic>Optimization</topic><topic>Parameter identification</topic><topic>Pattern search</topic><topic>pattern search algorithms</topic><topic>phenomenological modelling</topic><topic>Search algorithms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cardelli, E.</creatorcontrib><creatorcontrib>Faba, A.</creatorcontrib><creatorcontrib>Pompei, M.</creatorcontrib><creatorcontrib>Quondam Antonio, S.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of numerical modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cardelli, E.</au><au>Faba, A.</au><au>Pompei, M.</au><au>Quondam Antonio, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pattern search approach to ferromagnetic material modelling</atitle><jtitle>International journal of numerical modelling</jtitle><date>2019-07</date><risdate>2019</risdate><volume>32</volume><issue>4</issue><epage>n/a</epage><issn>0894-3370</issn><eissn>1099-1204</eissn><abstract>This paper deals with possible optimization‐based techniques for the identification of the parameters of Preisach‐inspired phenomenological model of vector hysteresis in ferromagnetic materials. After a summary of the key features of the phenomenological model mentioned above, the description of the identification technique proposed is given. The identification technique is based on a suitable pattern search algorithm and standard measurements. Results for the FeSi Non‐Oriented Grains steel NOG are presented and discussed.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/jnm.2271</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-4059-9869</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0894-3370
ispartof International journal of numerical modelling, 2019-07, Vol.32 (4), p.n/a
issn 0894-3370
1099-1204
language eng
recordid cdi_proquest_journals_2243116931
source Wiley
subjects Ferromagnetic materials
Hysteresis models
Iron silicide
magnetic hysteresis
Optimization
Parameter identification
Pattern search
pattern search algorithms
phenomenological modelling
Search algorithms
title Pattern search approach to ferromagnetic material modelling
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T08%3A24%3A34IST&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=Pattern%20search%20approach%20to%20ferromagnetic%20material%20modelling&rft.jtitle=International%20journal%20of%20numerical%20modelling&rft.au=Cardelli,%20E.&rft.date=2019-07&rft.volume=32&rft.issue=4&rft.epage=n/a&rft.issn=0894-3370&rft.eissn=1099-1204&rft_id=info:doi/10.1002/jnm.2271&rft_dat=%3Cproquest_cross%3E2243116931%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2931-69a8c546f5bbff5104c88910fa9f75edcba7cfdeab1df7158b5dc3500681219d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2243116931&rft_id=info:pmid/&rfr_iscdi=true