Loading…

The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation

An approach is presented that allows multi-scale characterisations of heterogeneous deformation in crystalline materials by employing a range of characterisation techniques including: electron backscatter diffraction, digital image correlation and neutron diffraction powder measurements. The approac...

Full description

Saved in:
Bibliographic Details
Published in:Materials characterization 2020-02, Vol.160, p.110114, Article 110114
Main Authors: Simm, T.H., Das, Y.B., Forsey, A.N., Gungor, S., Fitzpatrick, M.E., Prakash, D.G.L., Moat, R.J., Birosca, S., Quinta da Fonseca, J., Perkins, K.M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c342t-ef6009d779d34e33a73196f597930a01b9b815d0bad4a94858f042f8c0059f4b3
container_end_page
container_issue
container_start_page 110114
container_title Materials characterization
container_volume 160
creator Simm, T.H.
Das, Y.B.
Forsey, A.N.
Gungor, S.
Fitzpatrick, M.E.
Prakash, D.G.L.
Moat, R.J.
Birosca, S.
Quinta da Fonseca, J.
Perkins, K.M.
description An approach is presented that allows multi-scale characterisations of heterogeneous deformation in crystalline materials by employing a range of characterisation techniques including: electron backscatter diffraction, digital image correlation and neutron diffraction powder measurements. The approach will be used to obtain critical information about the variations in parameters that characterise the deformed state in different crystallographic orientation texture components of a sample in a statistically significant way. These parameters include lattice strains, texture evolution, peak broadening, dislocation density, planar faults, phase changes and surface strain. This approach allows verification of models of plastic deformation to provide a more detailed view of plastic deformation heterogeneity at multiple length scales than obtained by other characterisation approaches. The approach demonstrated here is applied to two stainless steel alloys; an alloy that exhibits phase transformation during deformation and an alloy that remains the same phase all through deformation process. •An approach to characterise the heterogeneous nature of deformation in materials•The ability to combine powder diffraction and multiple electron microscopy methods•Obtain information and model deformation at multiple length scales•Easy and useful test to perform to help verify lattice strain models•Stainless steel alloys that do and do not transform to martensite are compared
doi_str_mv 10.1016/j.matchar.2019.110114
format article
fullrecord <record><control><sourceid>elsevier_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_kth_267960</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1044580319328256</els_id><sourcerecordid>S1044580319328256</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-ef6009d779d34e33a73196f597930a01b9b815d0bad4a94858f042f8c0059f4b3</originalsourceid><addsrcrecordid>eNqFkMtOwzAQRSMEEqXwCUj-AFLGsfPwClUtL6kSm8LWcpJx49LGwXFB3fN__BKuUrFl5ZF1ztXMjaJrChMKNLtdT7bKV41ykwSomNDwSflJNKJFzmJOC3EaZuA8Tgtg59FF368BICtoPoqaZYPk5zvuNtbfEEW2u403ld12tsXWExrPSWc3SLRZ7RySAfOWfOxU643eEx_8Bj06u8IWjd8TqwOm-hBDatTWheWMbS-jM602PV4d33H0-nC_nD3Fi5fH59l0EVeMJz5GnQGIOs9FzTgypnJGRaZTkQsGCmgpyoKmNZSq5krwIi008EQXFUAqNC_ZOIqH3P4Lu10pO2e2yu2lVUbOzdtUWreS776RSZaLDAKfDnzlbN871H8GBXmoV67lsV55qFcO9QbvbvAwHPNp0Mm-MthWWBuHlZe1Nf8k_AK6n4ck</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation</title><source>ScienceDirect Freedom Collection</source><creator>Simm, T.H. ; Das, Y.B. ; Forsey, A.N. ; Gungor, S. ; Fitzpatrick, M.E. ; Prakash, D.G.L. ; Moat, R.J. ; Birosca, S. ; Quinta da Fonseca, J. ; Perkins, K.M.</creator><creatorcontrib>Simm, T.H. ; Das, Y.B. ; Forsey, A.N. ; Gungor, S. ; Fitzpatrick, M.E. ; Prakash, D.G.L. ; Moat, R.J. ; Birosca, S. ; Quinta da Fonseca, J. ; Perkins, K.M.</creatorcontrib><description>An approach is presented that allows multi-scale characterisations of heterogeneous deformation in crystalline materials by employing a range of characterisation techniques including: electron backscatter diffraction, digital image correlation and neutron diffraction powder measurements. The approach will be used to obtain critical information about the variations in parameters that characterise the deformed state in different crystallographic orientation texture components of a sample in a statistically significant way. These parameters include lattice strains, texture evolution, peak broadening, dislocation density, planar faults, phase changes and surface strain. This approach allows verification of models of plastic deformation to provide a more detailed view of plastic deformation heterogeneity at multiple length scales than obtained by other characterisation approaches. The approach demonstrated here is applied to two stainless steel alloys; an alloy that exhibits phase transformation during deformation and an alloy that remains the same phase all through deformation process. •An approach to characterise the heterogeneous nature of deformation in materials•The ability to combine powder diffraction and multiple electron microscopy methods•Obtain information and model deformation at multiple length scales•Easy and useful test to perform to help verify lattice strain models•Stainless steel alloys that do and do not transform to martensite are compared</description><identifier>ISSN: 1044-5803</identifier><identifier>ISSN: 1873-4189</identifier><identifier>EISSN: 1873-4189</identifier><identifier>DOI: 10.1016/j.matchar.2019.110114</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Alloy steel ; Backscattering ; Crystallites ; Crystallographic orientations ; Deformation heterogeneities ; Diffraction peak profile analysis ; Diffraction peaks ; Digital image correlation ; Digital image correlations ; Dislocation densities ; Electron back scatter diffraction ; Electron backscatter diffraction ; Electron diffraction ; Heterogeneous deformation ; High strength steel ; Image analysis ; Neutron diffraction ; Planar fault ; Planar faults ; Plastic deformation ; Strain ; Strain measurement ; Textures ; Transformation Induced Plasticity steel ; TRIP steel</subject><ispartof>Materials characterization, 2020-02, Vol.160, p.110114, Article 110114</ispartof><rights>2020 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c342t-ef6009d779d34e33a73196f597930a01b9b815d0bad4a94858f042f8c0059f4b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-267960$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Simm, T.H.</creatorcontrib><creatorcontrib>Das, Y.B.</creatorcontrib><creatorcontrib>Forsey, A.N.</creatorcontrib><creatorcontrib>Gungor, S.</creatorcontrib><creatorcontrib>Fitzpatrick, M.E.</creatorcontrib><creatorcontrib>Prakash, D.G.L.</creatorcontrib><creatorcontrib>Moat, R.J.</creatorcontrib><creatorcontrib>Birosca, S.</creatorcontrib><creatorcontrib>Quinta da Fonseca, J.</creatorcontrib><creatorcontrib>Perkins, K.M.</creatorcontrib><title>The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation</title><title>Materials characterization</title><description>An approach is presented that allows multi-scale characterisations of heterogeneous deformation in crystalline materials by employing a range of characterisation techniques including: electron backscatter diffraction, digital image correlation and neutron diffraction powder measurements. The approach will be used to obtain critical information about the variations in parameters that characterise the deformed state in different crystallographic orientation texture components of a sample in a statistically significant way. These parameters include lattice strains, texture evolution, peak broadening, dislocation density, planar faults, phase changes and surface strain. This approach allows verification of models of plastic deformation to provide a more detailed view of plastic deformation heterogeneity at multiple length scales than obtained by other characterisation approaches. The approach demonstrated here is applied to two stainless steel alloys; an alloy that exhibits phase transformation during deformation and an alloy that remains the same phase all through deformation process. •An approach to characterise the heterogeneous nature of deformation in materials•The ability to combine powder diffraction and multiple electron microscopy methods•Obtain information and model deformation at multiple length scales•Easy and useful test to perform to help verify lattice strain models•Stainless steel alloys that do and do not transform to martensite are compared</description><subject>Alloy steel</subject><subject>Backscattering</subject><subject>Crystallites</subject><subject>Crystallographic orientations</subject><subject>Deformation heterogeneities</subject><subject>Diffraction peak profile analysis</subject><subject>Diffraction peaks</subject><subject>Digital image correlation</subject><subject>Digital image correlations</subject><subject>Dislocation densities</subject><subject>Electron back scatter diffraction</subject><subject>Electron backscatter diffraction</subject><subject>Electron diffraction</subject><subject>Heterogeneous deformation</subject><subject>High strength steel</subject><subject>Image analysis</subject><subject>Neutron diffraction</subject><subject>Planar fault</subject><subject>Planar faults</subject><subject>Plastic deformation</subject><subject>Strain</subject><subject>Strain measurement</subject><subject>Textures</subject><subject>Transformation Induced Plasticity steel</subject><subject>TRIP steel</subject><issn>1044-5803</issn><issn>1873-4189</issn><issn>1873-4189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAQRSMEEqXwCUj-AFLGsfPwClUtL6kSm8LWcpJx49LGwXFB3fN__BKuUrFl5ZF1ztXMjaJrChMKNLtdT7bKV41ykwSomNDwSflJNKJFzmJOC3EaZuA8Tgtg59FF368BICtoPoqaZYPk5zvuNtbfEEW2u403ld12tsXWExrPSWc3SLRZ7RySAfOWfOxU643eEx_8Bj06u8IWjd8TqwOm-hBDatTWheWMbS-jM602PV4d33H0-nC_nD3Fi5fH59l0EVeMJz5GnQGIOs9FzTgypnJGRaZTkQsGCmgpyoKmNZSq5krwIi008EQXFUAqNC_ZOIqH3P4Lu10pO2e2yu2lVUbOzdtUWreS776RSZaLDAKfDnzlbN871H8GBXmoV67lsV55qFcO9QbvbvAwHPNp0Mm-MthWWBuHlZe1Nf8k_AK6n4ck</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Simm, T.H.</creator><creator>Das, Y.B.</creator><creator>Forsey, A.N.</creator><creator>Gungor, S.</creator><creator>Fitzpatrick, M.E.</creator><creator>Prakash, D.G.L.</creator><creator>Moat, R.J.</creator><creator>Birosca, S.</creator><creator>Quinta da Fonseca, J.</creator><creator>Perkins, K.M.</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8V</scope></search><sort><creationdate>20200201</creationdate><title>The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation</title><author>Simm, T.H. ; Das, Y.B. ; Forsey, A.N. ; Gungor, S. ; Fitzpatrick, M.E. ; Prakash, D.G.L. ; Moat, R.J. ; Birosca, S. ; Quinta da Fonseca, J. ; Perkins, K.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-ef6009d779d34e33a73196f597930a01b9b815d0bad4a94858f042f8c0059f4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alloy steel</topic><topic>Backscattering</topic><topic>Crystallites</topic><topic>Crystallographic orientations</topic><topic>Deformation heterogeneities</topic><topic>Diffraction peak profile analysis</topic><topic>Diffraction peaks</topic><topic>Digital image correlation</topic><topic>Digital image correlations</topic><topic>Dislocation densities</topic><topic>Electron back scatter diffraction</topic><topic>Electron backscatter diffraction</topic><topic>Electron diffraction</topic><topic>Heterogeneous deformation</topic><topic>High strength steel</topic><topic>Image analysis</topic><topic>Neutron diffraction</topic><topic>Planar fault</topic><topic>Planar faults</topic><topic>Plastic deformation</topic><topic>Strain</topic><topic>Strain measurement</topic><topic>Textures</topic><topic>Transformation Induced Plasticity steel</topic><topic>TRIP steel</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Simm, T.H.</creatorcontrib><creatorcontrib>Das, Y.B.</creatorcontrib><creatorcontrib>Forsey, A.N.</creatorcontrib><creatorcontrib>Gungor, S.</creatorcontrib><creatorcontrib>Fitzpatrick, M.E.</creatorcontrib><creatorcontrib>Prakash, D.G.L.</creatorcontrib><creatorcontrib>Moat, R.J.</creatorcontrib><creatorcontrib>Birosca, S.</creatorcontrib><creatorcontrib>Quinta da Fonseca, J.</creatorcontrib><creatorcontrib>Perkins, K.M.</creatorcontrib><collection>CrossRef</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><jtitle>Materials characterization</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Simm, T.H.</au><au>Das, Y.B.</au><au>Forsey, A.N.</au><au>Gungor, S.</au><au>Fitzpatrick, M.E.</au><au>Prakash, D.G.L.</au><au>Moat, R.J.</au><au>Birosca, S.</au><au>Quinta da Fonseca, J.</au><au>Perkins, K.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation</atitle><jtitle>Materials characterization</jtitle><date>2020-02-01</date><risdate>2020</risdate><volume>160</volume><spage>110114</spage><pages>110114-</pages><artnum>110114</artnum><issn>1044-5803</issn><issn>1873-4189</issn><eissn>1873-4189</eissn><abstract>An approach is presented that allows multi-scale characterisations of heterogeneous deformation in crystalline materials by employing a range of characterisation techniques including: electron backscatter diffraction, digital image correlation and neutron diffraction powder measurements. The approach will be used to obtain critical information about the variations in parameters that characterise the deformed state in different crystallographic orientation texture components of a sample in a statistically significant way. These parameters include lattice strains, texture evolution, peak broadening, dislocation density, planar faults, phase changes and surface strain. This approach allows verification of models of plastic deformation to provide a more detailed view of plastic deformation heterogeneity at multiple length scales than obtained by other characterisation approaches. The approach demonstrated here is applied to two stainless steel alloys; an alloy that exhibits phase transformation during deformation and an alloy that remains the same phase all through deformation process. •An approach to characterise the heterogeneous nature of deformation in materials•The ability to combine powder diffraction and multiple electron microscopy methods•Obtain information and model deformation at multiple length scales•Easy and useful test to perform to help verify lattice strain models•Stainless steel alloys that do and do not transform to martensite are compared</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.matchar.2019.110114</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1044-5803
ispartof Materials characterization, 2020-02, Vol.160, p.110114, Article 110114
issn 1044-5803
1873-4189
1873-4189
language eng
recordid cdi_swepub_primary_oai_DiVA_org_kth_267960
source ScienceDirect Freedom Collection
subjects Alloy steel
Backscattering
Crystallites
Crystallographic orientations
Deformation heterogeneities
Diffraction peak profile analysis
Diffraction peaks
Digital image correlation
Digital image correlations
Dislocation densities
Electron back scatter diffraction
Electron backscatter diffraction
Electron diffraction
Heterogeneous deformation
High strength steel
Image analysis
Neutron diffraction
Planar fault
Planar faults
Plastic deformation
Strain
Strain measurement
Textures
Transformation Induced Plasticity steel
TRIP steel
title The τ-plot, a multicomponent 1-D pole figure plot, to quantify the heterogeneity of plastic deformation
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T04%3A13%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20%CF%84-plot,%20a%20multicomponent%201-D%20pole%20figure%20plot,%20to%20quantify%20the%20heterogeneity%20of%20plastic%20deformation&rft.jtitle=Materials%20characterization&rft.au=Simm,%20T.H.&rft.date=2020-02-01&rft.volume=160&rft.spage=110114&rft.pages=110114-&rft.artnum=110114&rft.issn=1044-5803&rft.eissn=1873-4189&rft_id=info:doi/10.1016/j.matchar.2019.110114&rft_dat=%3Celsevier_swepu%3ES1044580319328256%3C/elsevier_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c342t-ef6009d779d34e33a73196f597930a01b9b815d0bad4a94858f042f8c0059f4b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true