Loading…

Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels

Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725°C for 1 to 15h. A duplex ceramic...

Full description

Saved in:
Bibliographic Details
Published in:Ceramics international 2014-05, Vol.40 (4), p.5515-5522
Main Authors: Khalaj, Gholamreza, Pouraliakbar, Hesam
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-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83
cites cdi_FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83
container_end_page 5522
container_issue 4
container_start_page 5515
container_title Ceramics international
container_volume 40
creator Khalaj, Gholamreza
Pouraliakbar, Hesam
description Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725°C for 1 to 15h. A duplex ceramic coating of vanadium carbonitride (VCN) with a thickness up to 10.2μm was formed on tool steel substrates. Characterization of the ceramic coating by means of scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD) indicated that the diffused compact and dense layers mainly consisted of V(C,N) and V2(C,N) phases. Layer thickness of duplex coating has been modeled by gene expression programming (GEP). Recently, application of GEP as a computer-aided technique has got appreciable attraction especially for modeling and to formulate engineering demands. For GEP approaches, chemical composition of steel substrates along with different bath and processing parameters totally composed of 17 different parameters were considered as inputs to establish mathematical correlations. Finally, the training and testing results in models have shown strong potential for predicting the layer thickness of duplex treated ceramic coating on tool steels.
doi_str_mv 10.1016/j.ceramint.2013.10.141
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1692392740</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0272884213014132</els_id><sourcerecordid>1692392740</sourcerecordid><originalsourceid>FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83</originalsourceid><addsrcrecordid>eNqFkU1PwzAMhiMEEmPwF1COXDry1bW9gSa-JCQucI7S1IGMtilJiti_J13hPF8sW-9j2X4RuqRkRQldX29XGrzqbB9XjFC-mvqCHqEFLQue8SpfH6MFYQXLylKwU3QWwpYksBJkgezGdcMYwWfKNtDgzjXQ2v4dG-fx4KGxOk5lq3bgcfyw-rOHELAzWOFmHFr4wdGDiomd19BYO7VnXI-jcy0OEaAN5-jEqDbAxV9eorf7u9fNY_b88vC0uX3ONC_KmKmcga6hNoITptakEJwzo1VdQqFzxoQguUmr14Qow_Ka1zw3UzQARaFKvkRX89zBu68RQpSdDRraVvXgxiDT4YxXrBDksDQXNMloJZJ0PUu1dyF4MHLwtlN-JymRkw1yK_9tkJMN-76gCbyZwfQC-LbgZdAWep0-60FH2Th7aMQv5WiWTA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1541403194</pqid></control><display><type>article</type><title>Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels</title><source>ScienceDirect Freedom Collection</source><creator>Khalaj, Gholamreza ; Pouraliakbar, Hesam</creator><creatorcontrib>Khalaj, Gholamreza ; Pouraliakbar, Hesam</creatorcontrib><description>Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725°C for 1 to 15h. A duplex ceramic coating of vanadium carbonitride (VCN) with a thickness up to 10.2μm was formed on tool steel substrates. Characterization of the ceramic coating by means of scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD) indicated that the diffused compact and dense layers mainly consisted of V(C,N) and V2(C,N) phases. Layer thickness of duplex coating has been modeled by gene expression programming (GEP). Recently, application of GEP as a computer-aided technique has got appreciable attraction especially for modeling and to formulate engineering demands. For GEP approaches, chemical composition of steel substrates along with different bath and processing parameters totally composed of 17 different parameters were considered as inputs to establish mathematical correlations. Finally, the training and testing results in models have shown strong potential for predicting the layer thickness of duplex treated ceramic coating on tool steels.</description><identifier>ISSN: 0272-8842</identifier><identifier>EISSN: 1873-3956</identifier><identifier>DOI: 10.1016/j.ceramint.2013.10.141</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Ceramic coating ; Ceramic coatings ; Diffusion ; Diffusion layers ; Duplex stainless steels ; Duplex surface treatment ; Gene expression ; Gene expression programming ; Layer thickness ; Mathematical models ; Modeling ; Tool steels ; Vanadium</subject><ispartof>Ceramics international, 2014-05, Vol.40 (4), p.5515-5522</ispartof><rights>2013 Elsevier Ltd and Techna Group S.r.l.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83</citedby><cites>FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Khalaj, Gholamreza</creatorcontrib><creatorcontrib>Pouraliakbar, Hesam</creatorcontrib><title>Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels</title><title>Ceramics international</title><description>Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725°C for 1 to 15h. A duplex ceramic coating of vanadium carbonitride (VCN) with a thickness up to 10.2μm was formed on tool steel substrates. Characterization of the ceramic coating by means of scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD) indicated that the diffused compact and dense layers mainly consisted of V(C,N) and V2(C,N) phases. Layer thickness of duplex coating has been modeled by gene expression programming (GEP). Recently, application of GEP as a computer-aided technique has got appreciable attraction especially for modeling and to formulate engineering demands. For GEP approaches, chemical composition of steel substrates along with different bath and processing parameters totally composed of 17 different parameters were considered as inputs to establish mathematical correlations. Finally, the training and testing results in models have shown strong potential for predicting the layer thickness of duplex treated ceramic coating on tool steels.</description><subject>Ceramic coating</subject><subject>Ceramic coatings</subject><subject>Diffusion</subject><subject>Diffusion layers</subject><subject>Duplex stainless steels</subject><subject>Duplex surface treatment</subject><subject>Gene expression</subject><subject>Gene expression programming</subject><subject>Layer thickness</subject><subject>Mathematical models</subject><subject>Modeling</subject><subject>Tool steels</subject><subject>Vanadium</subject><issn>0272-8842</issn><issn>1873-3956</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU1PwzAMhiMEEmPwF1COXDry1bW9gSa-JCQucI7S1IGMtilJiti_J13hPF8sW-9j2X4RuqRkRQldX29XGrzqbB9XjFC-mvqCHqEFLQue8SpfH6MFYQXLylKwU3QWwpYksBJkgezGdcMYwWfKNtDgzjXQ2v4dG-fx4KGxOk5lq3bgcfyw-rOHELAzWOFmHFr4wdGDiomd19BYO7VnXI-jcy0OEaAN5-jEqDbAxV9eorf7u9fNY_b88vC0uX3ONC_KmKmcga6hNoITptakEJwzo1VdQqFzxoQguUmr14Qow_Ka1zw3UzQARaFKvkRX89zBu68RQpSdDRraVvXgxiDT4YxXrBDksDQXNMloJZJ0PUu1dyF4MHLwtlN-JymRkw1yK_9tkJMN-76gCbyZwfQC-LbgZdAWep0-60FH2Th7aMQv5WiWTA</recordid><startdate>20140501</startdate><enddate>20140501</enddate><creator>Khalaj, Gholamreza</creator><creator>Pouraliakbar, Hesam</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140501</creationdate><title>Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels</title><author>Khalaj, Gholamreza ; Pouraliakbar, Hesam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Ceramic coating</topic><topic>Ceramic coatings</topic><topic>Diffusion</topic><topic>Diffusion layers</topic><topic>Duplex stainless steels</topic><topic>Duplex surface treatment</topic><topic>Gene expression</topic><topic>Gene expression programming</topic><topic>Layer thickness</topic><topic>Mathematical models</topic><topic>Modeling</topic><topic>Tool steels</topic><topic>Vanadium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khalaj, Gholamreza</creatorcontrib><creatorcontrib>Pouraliakbar, Hesam</creatorcontrib><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</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>Ceramics international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khalaj, Gholamreza</au><au>Pouraliakbar, Hesam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels</atitle><jtitle>Ceramics international</jtitle><date>2014-05-01</date><risdate>2014</risdate><volume>40</volume><issue>4</issue><spage>5515</spage><epage>5522</epage><pages>5515-5522</pages><issn>0272-8842</issn><eissn>1873-3956</eissn><abstract>Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725°C for 1 to 15h. A duplex ceramic coating of vanadium carbonitride (VCN) with a thickness up to 10.2μm was formed on tool steel substrates. Characterization of the ceramic coating by means of scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD) indicated that the diffused compact and dense layers mainly consisted of V(C,N) and V2(C,N) phases. Layer thickness of duplex coating has been modeled by gene expression programming (GEP). Recently, application of GEP as a computer-aided technique has got appreciable attraction especially for modeling and to formulate engineering demands. For GEP approaches, chemical composition of steel substrates along with different bath and processing parameters totally composed of 17 different parameters were considered as inputs to establish mathematical correlations. Finally, the training and testing results in models have shown strong potential for predicting the layer thickness of duplex treated ceramic coating on tool steels.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ceramint.2013.10.141</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0272-8842
ispartof Ceramics international, 2014-05, Vol.40 (4), p.5515-5522
issn 0272-8842
1873-3956
language eng
recordid cdi_proquest_miscellaneous_1692392740
source ScienceDirect Freedom Collection
subjects Ceramic coating
Ceramic coatings
Diffusion
Diffusion layers
Duplex stainless steels
Duplex surface treatment
Gene expression
Gene expression programming
Layer thickness
Mathematical models
Modeling
Tool steels
Vanadium
title Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T15%3A59%3A06IST&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=Computer-aided%20modeling%20for%20predicting%20layer%20thickness%20of%20a%20duplex%20treated%20ceramic%20coating%20on%20tool%20steels&rft.jtitle=Ceramics%20international&rft.au=Khalaj,%20Gholamreza&rft.date=2014-05-01&rft.volume=40&rft.issue=4&rft.spage=5515&rft.epage=5522&rft.pages=5515-5522&rft.issn=0272-8842&rft.eissn=1873-3956&rft_id=info:doi/10.1016/j.ceramint.2013.10.141&rft_dat=%3Cproquest_cross%3E1692392740%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c378t-a52ecbebf4302a6074332fcab8e7c5224405f940b00af25b3b35fffffdee77a83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1541403194&rft_id=info:pmid/&rfr_iscdi=true