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dc.contributor.author
Miller Branco Ferraz, Franz
dc.contributor.author
Sztangret, Lukasz
dc.contributor.author
Carazo, Fernando Diego
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dc.contributor.author
Buzolin, Ricardo Henrique
dc.contributor.author
Wang, Peng
dc.contributor.author
Szeliga, Danuta
dc.contributor.author
dos Santos Effertz, Pedro
dc.contributor.author
Macio, Piotr
dc.contributor.author
Krumphals, Alfred
dc.contributor.author
Poletti, Maria Cecilia
dc.date.available
2024-01-11T14:18:28Z
dc.date.issued
2023-06
dc.identifier.citation
Miller Branco Ferraz, Franz; Sztangret, Lukasz; Carazo, Fernando Diego; Buzolin, Ricardo Henrique; Wang, Peng; et al.; Metamodelling the hot deformation behaviour of titanium alloys using a mean-field approach; Elsevier; Materials Today Communications; 35; 6-2023; 1-16
dc.identifier.issn
2352-4928
dc.identifier.uri
http://hdl.handle.net/11336/223398
dc.description.abstract
During the thermomechanical processing of titanium alloys in the β-domain, the β-phase undergoes restoration phenomena. This work describes them by a mean-field physical model that correlates the flow stress with the microstructural evolution. To reduce the computational time of process simulations, metamodels are developed for specific outputs of the mean-field physical model using Artificial Neural Network (ANN) and Decision Tree Regression (DTR). The performance of the obtained metamodels is evaluated in terms of the coefficient of determination (R²), the root-mean-square error (RMSE), and the mean relative error (MRE). No significant difference was observed between R2training and R2testing, meaning that all the metamodels correctly generalise the overall behaviour of the outputs for a wide range of inputs. The evolution of the metamodel outputs is compared with the model predictions in two different situations: 1) at a constant strain rate and temperature, and 2) during Finite Element (FE) simulations of the hot deformation of a hat-shaped sample, where temperature and effective strain rate vary at each element during deformation. The evolution of the outputs at constant and non-constant strain rates and temperature demonstrated the robustness of the metamodels in predicting the heterogeneous deformation within a workpiece. The computational time required by the metamodels to calculate selected outputs can be more than 100 times less than that of the model itself at a constant strain rate using MATLAB® and up to 19% less when coupled with FE simulations. The simulation results combined with microstructural analysis are used to visualise the different restoration mechanisms occurring in different regions of the hat-shaped sample as a function of the local thermomechanical history. The changes in strain rate and temperature during deformation influence the evolution of the wall dislocation density and the immobilisation rate of mobile dislocations at subgrain boundaries, leading to different kinetics of microstructure evolution.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
ARTIFICIAL NEURAL NETWORK
dc.subject
DECISION-TREE REGRESSION
dc.subject
HOT DEFORMATION
dc.subject
MEAN-FIELD MODEL
dc.subject
METAMODEL
dc.subject
TITANIUM ALLOYS
dc.subject.classification
Otras Ingeniería de los Materiales
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dc.subject.classification
Ingeniería de los Materiales
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Metamodelling the hot deformation behaviour of titanium alloys using a mean-field approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-01-10T17:39:09Z
dc.journal.volume
35
dc.journal.pagination
1-16
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Miller Branco Ferraz, Franz. Graz University Of Technology.; Austria
dc.description.fil
Fil: Sztangret, Lukasz. AGH University of Science and Technology; Polonia
dc.description.fil
Fil: Carazo, Fernando Diego. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Mecanica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Buzolin, Ricardo Henrique. Graz University Of Technology.; Austria
dc.description.fil
Fil: Wang, Peng. Graz University Of Technology.; Austria
dc.description.fil
Fil: Szeliga, Danuta. AGH University of Science and Technology; Polonia
dc.description.fil
Fil: dos Santos Effertz, Pedro. No especifíca;
dc.description.fil
Fil: Macio, Piotr. AGH University of Science and Technology; Polonia
dc.description.fil
Fil: Krumphals, Alfred. No especifíca;
dc.description.fil
Fil: Poletti, Maria Cecilia. Graz University Of Technology.; Austria
dc.journal.title
Materials Today Communications
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2352492823008395
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.mtcomm.2023.106148
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