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Numerical Methods in Industrial Forming Processes: Numiform 2023

2024

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Autonomous Interpretation of the Microstructure of Steels and Special Alloys

Materials science forum, 2019-03, Vol.949, p.24-31

2019

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Physical and Numerical Simulations for Predicting Distribution of Microstructural Features during Thermomechanical Processing of Steels

Materials, 2022-02, Vol.15 (5), p.1660

2022

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A Comparative Study of Deterministic and Stochastic Models of Microstructure Evolution during Multi-Step Hot Deformation of Steels

Materials, 2023-04, Vol.16 (9), p.3316

2023

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On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials

IEEE access, 2022, Vol.10, p.86793-86812

2022

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Metamodeling and Optimization of a Blister Copper Two-Stage Production Process

JOM (1989), 2016-06, Vol.68 (6), p.1535-1540

2016

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Conventional and Multiscale Modeling of Microstructure Evolution During Laminar Cooling of DP Steel Strips

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2014-12, Vol.45 (13), p.5835-5851

2014

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Application of Metamodels to Identification of Metallic Materials Models

Advances in materials science and engineering, 2016-01, Vol.2016 (2016), p.1-20

2016

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Multi-criteria optimization strategies for production chains

MATEC Web of Conferences, 2016, Vol.80, p.10008

2016

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PREDICTION OF DISTRIBUTION OF MICROSTRUCTURAL PARAMETERS INMETALLIC MATERIALS DESCRIBED BY DIFFERENTIAL EQUATIONS WITH RECRYSTALLIZATION TERM

International journal for multiscale computational engineering, 2019, Vol.17 (3), p.361-371

2019

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Accounting for random character of recrystallisation and uncertainty of process parameters in the modelling of phase transformations in steels

Canadian metallurgical quarterly, 2024-04, Vol.ahead-of-print (ahead-of-print), p.1-8

2024

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An attempt of reduction of optimization costs of complex industrial processes

AIP conference proceedings, 2017, Vol.1872 (1)

2017

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Data Exploration Approach Versus Sensitivity Analysis for Optimization of Metal Forming Processes

Key engineering materials, 2014-05, Vol.611-612, p.1390-1395

2014

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Inverse Problem in Stochastic Approach to Modelling of Microstructural Parameters in Metallic Materials during Processing

Mathematical problems in engineering, 2022-04, Vol.2022, p.1-15

2022

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Selection of the optimization method for identification of phase transformation models for steels

Materials and manufacturing processes, 2017-08, Vol.32 (11), p.1248-1259

2017

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Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips

Archives of Civil and Mechanical Engineering, 2022-06, Vol.22 (3), p.139, Article 139

2022

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Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Journal of materials engineering and performance, 2018-11, Vol.27 (11), p.5725-5735

2018

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Application of Regression Trees in Optimization of Metal Forming Process

Key engineering materials, 2014-09, Vol.622-623, p.749-755

2014

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Process of Ontology Construction of Rolling Metal Sheets Industrial Process

Key engineering materials, 2014-09, Vol.622-623, p.978-985

2014

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An attempt of optimization of zinc production line

Archives of Civil and Mechanical Engineering, 2018-09, Vol.18 (4), p.1116-1122

2018

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Sensitivity analysis, identification and validation of the dislocation density-based model for metallic materials

Metallurgical research & technology, 2021, Vol.118 (3), p.317

2021

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Modelling of microstructure and mechanical properties of steel using the artificial neural network

Journal of materials processing technology, 2002-09, Vol.127 (1), p.115-121

2002

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Validation of optimization strategies using the linear structured production chains

AIP Conference Proceedings, 2017, Vol.1836 (1)

2017

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Intelligent Advisory System for Support of Production Process Design in the Domain of Metal Forming

Key engineering materials, 2015-07, Vol.651-653, p.1375-1380

2015

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Formulation, identification and validation of a stochastic internal variables model describing the evolution of metallic materials microstructure during hot forming

International journal of material forming, 2022-07, Vol.15 (4), Article 53

2022

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Numerical Methods in Industrial Forming Processes: Numiform 2023

Autonomous Interpretation of the Microstructure of Steels and Special Alloys

Physical and Numerical Simulations for Predicting Distribution of Microstructural Features during Thermomechanical Processing of Steels

A Comparative Study of Deterministic and Stochastic Models of Microstructure Evolution during Multi-Step Hot Deformation of Steels

On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials

Metamodeling and Optimization of a Blister Copper Two-Stage Production Process

Conventional and Multiscale Modeling of Microstructure Evolution During Laminar Cooling of DP Steel Strips

Application of Metamodels to Identification of Metallic Materials Models

Multi-criteria optimization strategies for production chains

PREDICTION OF DISTRIBUTION OF MICROSTRUCTURAL PARAMETERS INMETALLIC MATERIALS DESCRIBED BY DIFFERENTIAL EQUATIONS WITH RECRYSTALLIZATION TERM

Accounting for random character of recrystallisation and uncertainty of process parameters in the modelling of phase transformations in steels

An attempt of reduction of optimization costs of complex industrial processes

Data Exploration Approach Versus Sensitivity Analysis for Optimization of Metal Forming Processes

Inverse Problem in Stochastic Approach to Modelling of Microstructural Parameters in Metallic Materials during Processing

Selection of the optimization method for identification of phase transformation models for steels

Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips

Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Application of Regression Trees in Optimization of Metal Forming Process

Process of Ontology Construction of Rolling Metal Sheets Industrial Process

An attempt of optimization of zinc production line

Sensitivity analysis, identification and validation of the dislocation density-based model for metallic materials

Modelling of microstructure and mechanical properties of steel using the artificial neural network

Validation of optimization strategies using the linear structured production chains

Intelligent Advisory System for Support of Production Process Design in the Domain of Metal Forming

Formulation, identification and validation of a stochastic internal variables model describing the evolution of metallic materials microstructure during hot forming

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