Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling
The paper presents some results of the research connected with the development of new approach based on the Adaptive Network-based Fuzzy Inference Systems (ANFIS) of predicting the Vickers microhardness of the phase constituents occurring in five steel samples after continuous cooling. The independe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol)
2013-01-01
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| Series: | Materials Research |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392013005000052 |
| _version_ | 1818922712108630016 |
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| author | Gholamreza Khalaj Ali Nazari Akbar Karimi Livary |
| author_facet | Gholamreza Khalaj Ali Nazari Akbar Karimi Livary |
| author_sort | Gholamreza Khalaj |
| collection | DOAJ |
| description | The paper presents some results of the research connected with the development of new approach based on the Adaptive Network-based Fuzzy Inference Systems (ANFIS) of predicting the Vickers microhardness of the phase constituents occurring in five steel samples after continuous cooling. The independent variables in the model are chemical compositions, initial austenite grain size and cooling rate over the temperature range of the occurrence of phase transformations. To construct these models, 114 different experimental data were gathered from the literature. The data used in the ANFIS model is arranged in a format of twelve input parameters that cover the chemical compositions, initial austenite grain size and cooling rate, and output parameter which is Vickers microhardness. In this model, the training and testing results in the ANFIS systems have shown strong potential for prediction of effects of chemical compositions and heat treatments on hardness of microalloyed steels. |
| first_indexed | 2024-12-20T01:57:54Z |
| format | Article |
| id | doaj.art-ba5f94557c8844e7bb5d2143bb2fb390 |
| institution | Directory Open Access Journal |
| issn | 1516-1439 |
| language | English |
| last_indexed | 2024-12-20T01:57:54Z |
| publishDate | 2013-01-01 |
| publisher | Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol) |
| record_format | Article |
| series | Materials Research |
| spelling | doaj.art-ba5f94557c8844e7bb5d2143bb2fb3902022-12-21T19:57:26ZengAssociação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol)Materials Research1516-14392013-01-01ahead0Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous coolingGholamreza KhalajAli NazariAkbar Karimi LivaryThe paper presents some results of the research connected with the development of new approach based on the Adaptive Network-based Fuzzy Inference Systems (ANFIS) of predicting the Vickers microhardness of the phase constituents occurring in five steel samples after continuous cooling. The independent variables in the model are chemical compositions, initial austenite grain size and cooling rate over the temperature range of the occurrence of phase transformations. To construct these models, 114 different experimental data were gathered from the literature. The data used in the ANFIS model is arranged in a format of twelve input parameters that cover the chemical compositions, initial austenite grain size and cooling rate, and output parameter which is Vickers microhardness. In this model, the training and testing results in the ANFIS systems have shown strong potential for prediction of effects of chemical compositions and heat treatments on hardness of microalloyed steels.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392013005000052adaptive network -based fuzzy inference systems (ANFIS)microalloyed steelcontinuous coolingHSLA steel |
| spellingShingle | Gholamreza Khalaj Ali Nazari Akbar Karimi Livary Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling Materials Research adaptive network -based fuzzy inference systems (ANFIS) microalloyed steel continuous cooling HSLA steel |
| title | Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling |
| title_full | Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling |
| title_fullStr | Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling |
| title_full_unstemmed | Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling |
| title_short | Application of ANFIS for modeling of microhardness of high strength low alloy (HSLA) steels in continuous cooling |
| title_sort | application of anfis for modeling of microhardness of high strength low alloy hsla steels in continuous cooling |
| topic | adaptive network -based fuzzy inference systems (ANFIS) microalloyed steel continuous cooling HSLA steel |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392013005000052 |
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