Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0

The application of material constitutive modelling in formative, subtractive and additive manufacturing processes was demonstrated by hot deformation of three alloys: (a) CoCrFeMnNi equiatomic high entropy alloy, (b) nickel-based alloy 625, and (c) 420 stainless steel. Phenomenological-, physical-,...

Full description

Saved in:
Bibliographic Details
Published in:MRS communications 2022-10, Vol.12 (5), p.585-591
Main Authors: Aranas, Clodualdo, Pasco, Jubert, McCarthy, Thomas
Format: Article
Language:English
Subjects:
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-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63
cites cdi_FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63
container_end_page 591
container_issue 5
container_start_page 585
container_title MRS communications
container_volume 12
creator Aranas, Clodualdo
Pasco, Jubert
McCarthy, Thomas
description The application of material constitutive modelling in formative, subtractive and additive manufacturing processes was demonstrated by hot deformation of three alloys: (a) CoCrFeMnNi equiatomic high entropy alloy, (b) nickel-based alloy 625, and (c) 420 stainless steel. Phenomenological-, physical-, and artificial neural network-based constitutive material models were then established utilizing the Simu-Mat 1.0. An average absolute relative error percentage (AARE%) of less than 10% was obtained. More specifically, stresses in the CoCrFeMnNi HEA, alloy 625 and 420 stainless steel, can be accurately simulated using Hensel–Spittel (AARE% = 5.93), Johnson–Cook (AARE% = 2.86) and Zener-Hollomon (AARE% = 8.13) constitutive models, respectively. Graphical abstract
doi_str_mv 10.1557/s43579-022-00201-9
format article
fullrecord <record><control><sourceid>crossref_sprin</sourceid><recordid>TN_cdi_crossref_primary_10_1557_s43579_022_00201_9</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1557_s43579_022_00201_9</sourcerecordid><originalsourceid>FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63</originalsourceid><addsrcrecordid>eNp9kMFOwzAMhiMEEtPYC3DKA5CRpEvTckODAdKAA3CO0sbZMrXNlHST-vZklAMnfLFl-bP9_whdMzpnQsjbuMiELAnlnFDKKSPlGZpwJkqSF7k8_1NfolmMO5pC5FxKMUG7V91DcLrBte9i7_pD746AW2-gaVy3wd7iFZBKRzA3-M2NFdadwVu32RLo-uD3A9ZN44d4hx_gCI3ft6l_Qj9ceyDpBGZzeoUurG4izH7zFH2tHj-Xz2T9_vSyvF-TmnPWkwXwwlYVKyS3JunSpdS0lswYnpkqtxaoKGgNtRR2wagtRVVBXZokT-rc5tkU8XFvHXyMAazaB9fqMChG1ckwNRqmkmHqxzBVJigboZiGuw0EtfOH0KU__6O-Aemlbwg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0</title><source>Springer Link</source><creator>Aranas, Clodualdo ; Pasco, Jubert ; McCarthy, Thomas</creator><creatorcontrib>Aranas, Clodualdo ; Pasco, Jubert ; McCarthy, Thomas</creatorcontrib><description>The application of material constitutive modelling in formative, subtractive and additive manufacturing processes was demonstrated by hot deformation of three alloys: (a) CoCrFeMnNi equiatomic high entropy alloy, (b) nickel-based alloy 625, and (c) 420 stainless steel. Phenomenological-, physical-, and artificial neural network-based constitutive material models were then established utilizing the Simu-Mat 1.0. An average absolute relative error percentage (AARE%) of less than 10% was obtained. More specifically, stresses in the CoCrFeMnNi HEA, alloy 625 and 420 stainless steel, can be accurately simulated using Hensel–Spittel (AARE% = 5.93), Johnson–Cook (AARE% = 2.86) and Zener-Hollomon (AARE% = 8.13) constitutive models, respectively. Graphical abstract</description><identifier>ISSN: 2159-6867</identifier><identifier>EISSN: 2159-6867</identifier><identifier>DOI: 10.1557/s43579-022-00201-9</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomaterials ; Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Early Career Materials Researcher Research Letter ; Materials Engineering ; Materials Science ; Nanotechnology ; Polymer Sciences</subject><ispartof>MRS communications, 2022-10, Vol.12 (5), p.585-591</ispartof><rights>The Author(s), under exclusive licence to The Materials Research Society 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63</citedby><cites>FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Aranas, Clodualdo</creatorcontrib><creatorcontrib>Pasco, Jubert</creatorcontrib><creatorcontrib>McCarthy, Thomas</creatorcontrib><title>Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0</title><title>MRS communications</title><addtitle>MRS Communications</addtitle><description>The application of material constitutive modelling in formative, subtractive and additive manufacturing processes was demonstrated by hot deformation of three alloys: (a) CoCrFeMnNi equiatomic high entropy alloy, (b) nickel-based alloy 625, and (c) 420 stainless steel. Phenomenological-, physical-, and artificial neural network-based constitutive material models were then established utilizing the Simu-Mat 1.0. An average absolute relative error percentage (AARE%) of less than 10% was obtained. More specifically, stresses in the CoCrFeMnNi HEA, alloy 625 and 420 stainless steel, can be accurately simulated using Hensel–Spittel (AARE% = 5.93), Johnson–Cook (AARE% = 2.86) and Zener-Hollomon (AARE% = 8.13) constitutive models, respectively. Graphical abstract</description><subject>Biomaterials</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Early Career Materials Researcher Research Letter</subject><subject>Materials Engineering</subject><subject>Materials Science</subject><subject>Nanotechnology</subject><subject>Polymer Sciences</subject><issn>2159-6867</issn><issn>2159-6867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMFOwzAMhiMEEtPYC3DKA5CRpEvTckODAdKAA3CO0sbZMrXNlHST-vZklAMnfLFl-bP9_whdMzpnQsjbuMiELAnlnFDKKSPlGZpwJkqSF7k8_1NfolmMO5pC5FxKMUG7V91DcLrBte9i7_pD746AW2-gaVy3wd7iFZBKRzA3-M2NFdadwVu32RLo-uD3A9ZN44d4hx_gCI3ft6l_Qj9ceyDpBGZzeoUurG4izH7zFH2tHj-Xz2T9_vSyvF-TmnPWkwXwwlYVKyS3JunSpdS0lswYnpkqtxaoKGgNtRR2wagtRVVBXZokT-rc5tkU8XFvHXyMAazaB9fqMChG1ckwNRqmkmHqxzBVJigboZiGuw0EtfOH0KU__6O-Aemlbwg</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Aranas, Clodualdo</creator><creator>Pasco, Jubert</creator><creator>McCarthy, Thomas</creator><general>Springer International Publishing</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20221001</creationdate><title>Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0</title><author>Aranas, Clodualdo ; Pasco, Jubert ; McCarthy, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomaterials</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Early Career Materials Researcher Research Letter</topic><topic>Materials Engineering</topic><topic>Materials Science</topic><topic>Nanotechnology</topic><topic>Polymer Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aranas, Clodualdo</creatorcontrib><creatorcontrib>Pasco, Jubert</creatorcontrib><creatorcontrib>McCarthy, Thomas</creatorcontrib><collection>CrossRef</collection><jtitle>MRS communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aranas, Clodualdo</au><au>Pasco, Jubert</au><au>McCarthy, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0</atitle><jtitle>MRS communications</jtitle><stitle>MRS Communications</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>12</volume><issue>5</issue><spage>585</spage><epage>591</epage><pages>585-591</pages><issn>2159-6867</issn><eissn>2159-6867</eissn><abstract>The application of material constitutive modelling in formative, subtractive and additive manufacturing processes was demonstrated by hot deformation of three alloys: (a) CoCrFeMnNi equiatomic high entropy alloy, (b) nickel-based alloy 625, and (c) 420 stainless steel. Phenomenological-, physical-, and artificial neural network-based constitutive material models were then established utilizing the Simu-Mat 1.0. An average absolute relative error percentage (AARE%) of less than 10% was obtained. More specifically, stresses in the CoCrFeMnNi HEA, alloy 625 and 420 stainless steel, can be accurately simulated using Hensel–Spittel (AARE% = 5.93), Johnson–Cook (AARE% = 2.86) and Zener-Hollomon (AARE% = 8.13) constitutive models, respectively. Graphical abstract</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1557/s43579-022-00201-9</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2159-6867
ispartof MRS communications, 2022-10, Vol.12 (5), p.585-591
issn 2159-6867
2159-6867
language eng
recordid cdi_crossref_primary_10_1557_s43579_022_00201_9
source Springer Link
subjects Biomaterials
Characterization and Evaluation of Materials
Chemistry and Materials Science
Early Career Materials Researcher Research Letter
Materials Engineering
Materials Science
Nanotechnology
Polymer Sciences
title Material constitutive modelling of Fe-based, Ni-based and high-entropy alloys: Development of Simu-Mat 1.0
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T03%3A31%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Material%20constitutive%20modelling%20of%20Fe-based,%20Ni-based%20and%20high-entropy%20alloys:%20Development%20of%20Simu-Mat%201.0&rft.jtitle=MRS%20communications&rft.au=Aranas,%20Clodualdo&rft.date=2022-10-01&rft.volume=12&rft.issue=5&rft.spage=585&rft.epage=591&rft.pages=585-591&rft.issn=2159-6867&rft.eissn=2159-6867&rft_id=info:doi/10.1557/s43579-022-00201-9&rft_dat=%3Ccrossref_sprin%3E10_1557_s43579_022_00201_9%3C/crossref_sprin%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c221t-4e28fbb1872fd579a97a0c71dd23db6ffe0580cec75f410f95bbec9d8677a6f63%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