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Artificial neural network models for production of nano-grained structure in AISI 304L stainless steel by predicting thermo-mechanical parameters
Department of Materials Engineering, Isfahan University of Technology.ORCID iD: 0000-0002-5390-7701
Department of Materials Engineering, Isfahan University of Technology.
Department of Materials Engineering, Isfahan University of Technology.
Department of Materials Engineering, Isfahan University of Technology.ORCID iD: 0000-0001-9088-2286
2009 (English)In: International Journal of Iron & Steel Society, Vol. 6, no 2, 6-13 p.Article in journal (Refereed) Published
Abstract [en]

An artificial neural network (ANN) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304L austenitic stainless steel. The results of the ANN model are in good agreement with the experimental data. The model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austenite transformation. This model can also be used as a guide for further grain refining and to improve mechanical properties of the AISI 304L stainless steel.

Place, publisher, year, edition, pages
2009. Vol. 6, no 2, 6-13 p.
National Category
Other Materials Engineering
Research subject
Engineering Materials
Identifiers
URN: urn:nbn:se:ltu:diva-3818Local ID: 1a9e3c59-8ff1-4afb-b5ea-56d1e067a194OAI: oai:DiVA.org:ltu-3818DiVA: diva2:976679
Note
Uppr├Ąttat; 2009; 20160623 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Forouzan, FarnooshHedayati, Ali
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CiteExportLink to record
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Citation style
  • apa
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  • en-US
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  • nn-NB
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Output format
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