Algoritmi | User | Pedro André Dias Prates

Pedro André Dias Prates

Pedro André Dias Prates

At LASI

Member of the TEMA R&D Unit

Academic Degree

Current Position

at

Personal Webpage

Personal Email

Orcid

0000-0001-7650-9362

Researcher ID

FCT Public Key

Ciência ID

291A-EB9D-4A4B

Google Scholar

About Me



Identification of discrete and continuous parameters of sheet metal constitutive models, through combined application of classification and regression machine learning algorithms

International Journal of Solids and Structures

2026 | journal-article

Machine learning-based identification of process deviations in deep drawing of a cylindrical cup

Journal of Materials Research and Technology

2026 | journal-article

Design and Experimental Assessment of a Continuous Bending Under Tension (CBT) Test Device for Universal Testing Machines

Machines

2026 | journal-article

Uncertainty influence on the deep drawing of a cylindrical cup

International Journal of Solids and Structures

2026 | journal-article

AI-Driven Design and Optimization of Bending Processes

Key Engineering Materials

2026 | journal-article

Machine Learning Algorithms Applied to the Identification of CPB06 Yield Criterion Parameters

Key Engineering Materials

2026 | journal-article

Towards DIC-Subset-Independent Machine Learning Models for Constitutive Parameter Identification in Sheet Metal Forming

Key Engineering Materials

2026 | journal-article

Uncertainty Detection in Sheet Metal Bending Processes with Machine Learning

Key Engineering Materials

2026 | journal-article

Deep Neural Network-Based Inverse Identification of the Mechanical Behavior of Anisotropic Tubes

Journal of Manufacturing and Materials Processing

2025 | journal-article

Demand Forecasting in the Automotive Industry: A Systematic Literature Review

Forecasting

2025 | journal-article

Limitations of Machine Learning in Predicting Material Parameters for Complex Constitutive Models

IDDRG 2025

2025 | conference-paper

Predicting edge cracking in sheet metal forming: evaluating machine learning models and data transformations

The International Journal of Advanced Manufacturing Technology

2025 | journal-article

Mesh Dependency Reduction When Using Machine Learning for Predicting Constitutive Parameters in Sheet Metal Forming

MDPI Metals

2025 | journal-article

Reducing Mesh Dependency in Dataset Generation for Machine Learning Prediction of Constitutive Parameters in Sheet Metal Forming

Metals

2025 | journal-article

A comparison between FEM predictions and DIC results of crack tip displacement field in AA2024-T3 CT specimens

Engineering Fracture Mechanics

2025 | journal-article

Numerical Study on Continuous-Bending-Under-Tension of 3rd Generation Steel

Metals

2025 | journal-article

Evaluating the Impact of 3D Constitutive Models on Predictive Performance of XGBoost for Material Parameter Identification

28th International Conference on Material Forming - ESAFORM 2025

2025 | conference-abstract

Stress distribution analytical analysis in the vicinity of cooling channels during injection moulding

TEchMA 2025 – new frontiers in mechanical engineering International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions

2025 | conference-poster

Uncertainty Analysis in Sheet Metal Forming Processes: Troubleshooting with Machine Learning.

28th International Conference on Material Forming - ESAFORM 2025

2025 | conference-abstract

Machine Learning Application to the Identification of Sheet Metal Constitutive Model Parameters

Machine Learning for Computational Science and Engineering

2024 | journal-article

Machine learning applications in sheet metal constitutive Modelling: A review

International Journal of Solids and Structures

2024 | journal-article

Influence of the Sheet Thickness Variability on the Deep Drawing of a Cylindrical Cup.

ESAFORM 2024

2024 | conference-paper

Identification of Sheet Metal Constitutive Parameters Using Metamodeling of the Biaxial Tensile Test on a Cruciform Specimen

Metals

2024 | journal-article

SecFL – Secure Federated Learning Framework for predicting defects in sheet metal forming under variability

Expert Systems with Applications

2024 | journal-article

Bending of third generation steel: Experimental and numerical approach

2024 | conference-paper

Influence of data filtering and noise on the calibration of constitutive models using machine learning techniques

2024 | conference-paper

Sensitivity Analysis of the Square Cup Forming Process Using PAWN and Sobol Indices

Metals

2024 | journal-article

VForm-xSteels: virtual materials database

ESAFORM 2024, 27th International ESAFORM Conference on Material Forming

2024 | conference-paper

Effect of L-T and S-T orientations on fatigue crack growth in an aluminum 7050-T7451 plate

Fatigue & Fracture of Engineering Materials & Structures

2023 | journal-article

Applications of Machine Learning in Forming Processes

Frontiers in Mechanical Engineering

2023 | journal-issue

Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models

2023 | conference-paper

Enhancing engineering education by means of the promotion of entrepreneurial mindsets and attitudes for societal challenges

2023 | conference-paper

Sensitivity analysis of the of the square cup stamping process using a polynomial chaos expansion

2023 | conference-paper

Influence of specimen orientation on fatigue crack growth in 7050-T7451 and 2050-T8 aluminium alloys

International Journal of Fatigue

2022 | journal-article

Machine Learning for Predicting Fracture Strain in Sheet Metal Forming

Metals

2022 | journal-article

Recent Advances and Applications of Machine Learning in Metal Forming Processes

Metals

2022 | journal-article

On the applicability of the cumulative strain energy density for notch fatigue analysis under multiaxial loading

Theoretical and Applied Fracture Mechanics

2022 | journal-article

Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

Key Engineering Materials

2022 | journal-article

On the Identification of Material Constitutive Model Parameters Using Machine Learning Algorithms

Key Engineering Materials

2022 | journal-article

Variance-Based Sensitivity Analysis of the Biaxial Test on a Cruciform Specimen

Key Engineering Materials

2022 | journal-article

Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

International Journal of Material Forming

2022 | journal-article

On the inverse identification methods for forming plasticity models using full-field measurements

IOP Conference Series: Materials Science and Engineering

2022 | journal-article

Load sequence effects and cyclic deformation behaviour of 7075-T651 aluminium alloy

International Journal of Fatigue

2022 | journal-article

Final Report of the Project - Easy-to-Use Strategy for the Accurate Material Description in Sheet Metal Forming

Fundação para a Ciência e a Tecnologia

2022 | report

Machine Learning for the Prediction of Edge Cracking in Sheet Metal Forming Processes

Machine Learning and Artificial Intelligence with Industrial Applications

2022 | book-chapter

On the Development of Dataset Supported Strategies for the Constitutive Parameters Identification of Metal Sheets

2022 | conference-paper

Fatigue crack propagation analysis in 2024-T351 aluminium alloy using nonlinear parameters

International Journal of Fatigue

2021 | journal-article

Notch fatigue analysis and crack initiation life estimation of maraging steel fabricated by laser beam powder bed fusion under multiaxial loading

International Journal of Fatigue

2021 | journal-article

Improving Federated Learning Protection with Digital Envelopes.

27ª Conferência Portuguesa de Reconhecimento de Padrões (RECPAD 2021)

2021 | conference-poster

Melhorando a Protecção da Aprendizagem Federada com Envelopes Digitais

XXII Congresso Nacional da Ordem dos Engenheiros

2021 | conference-poster

Effect of input variables uncertainty in free tube hydroforming process

ESAFORM 2021

2021 | journal-article

Numerical study of the square cup stamping process: a stochastic analysis

ESAFORM 2021

2021 | journal-article

Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification

Mechanics of Materials

2021 | journal-article

Federated Learning as a Privacy-Providing Machine Learning for Defect Predictions in Smart Manufacturing

Smart and Sustainable Manufacturing Systems

2021 | journal-article

Enhancing Data Integrity, Confidentiality and Authenticity with Digital Envelopes and Federated Learning

Computational Science and AI in Industry (CSAI 2021)

2021 | conference-abstract

Influence of the mesh size on plastic CTOD

IbCSI 2020, 5th Iberian Conference on Structural Integrity

2021 | conference-abstract

Machine learning for predicting defects in sheet metal forming under uncertainty

WCCM 2020, 14th World Congress in Computational Mechanics

2021 | conference-abstract

Recent Advances and Applications of Machine Learning in Metal Forming Processes

MDPI

2021 | edited-book

Numerical Prediction of the Fatigue Crack Growth Rate in SLM Ti-6Al-4V Based on Crack Tip Plastic Strain

Metals

2020 | journal-article

Fatigue Crack Growth from Notches: A Numerical Analysis

Applied Sciences

2020 | journal-article

A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading

KnE Engineering

2020 | journal-article

Numerical Study on the Forming Behaviour of Multilayer Sheets

Metals

2020 | journal-article

Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes

Metals

2020 | journal-article

Numerical Study on the Variability of Plastic CTOD

Materials

2020 | journal-article

Model for fatigue crack growth analysis

1st Virtual Conference on Structural Integrity - VCSI1

2020 | conference-paper

A numerical study of the effect of isotropic hardening parameters on mode I fatigue crack growth

Metals

2020 | journal-article

Effect of Young's modulus on fatigue crack growth

International Journal of Fatigue

2020 | journal-article

Effect of kinematic hardening parameters on fatigue crack growth

Theoretical and Applied Fracture Mechanics

2020 | journal-article

Inverse identification of the work hardening law from circular and elliptical bulge tests

Journal of Materials Processing Technology

2020 | journal-article

Fatigue Crack Growth in Maraging Steel Obtained by Selective Laser Melting

Applied Sciences

2019 | journal-article

A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading

International Congress on Engineering — Engineering for Evolution

2019 | conference-paper

A mixed experimental-numerical energy-based approach for fatigue life assessment in notched samples under multiaxial loading

International Congress on Engineering (ICEUBI2019)

2019 | conference-abstract

Analytical sensitivity matrix for the inverse identification of hardening parameters of metal sheets

European Journal of Mechanics, A/Solids

2019 | journal-article

Comparing metamodeling techniques for variability analysis in sheet metal forming processes

AIP Conference Proceedings

2019 | conference-paper

Crack tip mechanisms: a numerical analysis

9th International Conference on Materials Structure and Micromechanics of Fracture

2019 | conference-paper

Effect of yield stress on fatigue crack growth

Frattura ed Integrita Strutturale

2019 | journal-article

Elastic correction of fatigue crack growth laws

Fatigue and Fracture of Engineering Materials and Structures

2019 | journal-article

Fatigue crack growth in notched specimens: A numerical analysis

Frattura ed Integrita Strutturale

2019 | journal-article

Fatigue crack growth versus plastic CTOD in the 304L stainless steel

Engineering Fracture Mechanics

2019 | journal-article

Hole Expansion Tests of Metal Sheets: Numerical Study

3rd Doctoral Congress in Engineering (DCE19)

2019 | conference-abstract

Machine Learning-based Approach for Predicting Defects under Uncertainty in Sheet Metal Forming Processes

ECCOMAS Computational Methods in Multi-scale, Multi-uncertainty and Multi-physics Problems (CM4P)

2019 | conference-abstract

Mixed numerical-experimental method for generation of energy-life fatigue master curves

Material Design & Processing Communications

2019 | journal-article

Multiaxial fatigue life evaluation in notched components via a rapid elastic-plastic TSED approach

First International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS 2019)

2019 | conference-abstract

Normal stress components during shear tests of metal sheets

International Journal of Mechanical Sciences

2019 | journal-article

Numerical prediction of fatigue threshold of metallic materials in vacuum

Engineering Fracture Mechanics

2019 | journal-article

Numerical study on hole expansion tests of metal sheets

Congress on Numerical Methods in Engineering (CMN2019)

2019 | conference-abstract

Rapid assessment of multiaxial fatigue lifetime in notched components using an averaged strain energy density approach

International Journal of Fatigue

2019 | journal-article

Single and ensemble classifiers for defect prediction in sheet metal forming under variability

Neural Computing and Applications

2019 | journal-article

Evaluation of ensemble methods for predicting defects in sheet metal forming

24th Portuguese Conference on Pattern Recognition (RECPAD 2018)

2018 | conference-poster

Analysis of fatigue crack growth based on plastic CTOD

Proceedings of the 19th International Colloquium on Mechanical Fatigue of Metals, University of Porto, Portugal

2018 | conference-paper

Analysis of fatigue crack propagation in sintered material based on plastic CTOD

Proceedings of the XVI Portuguese Conference on fracture (PCF 2018), Covilhã, Portugal

2018 | conference-paper

Evaluation of ensemble methods for predicting defects in sheet metal forming

24th Portuguese Conference on Pattern Recognition (RECPAD 2018)

2018 | conference-paper

Fatigue crack growth in the 2050-T8 aluminium alloy

International Journal of Fatigue

2018 | journal-article

Model Prediction of Defects in Sheet Metal Forming Processes

Communications in Computer and Information Science

2018 | book

New CTOD criterion for fatigue crack propagation analysis in 2024-t351 aluminium alloy

XXXV Encuentro del Grupo Español de Fractura

2018 | conference-abstract

New methodology of fatigue life evaluation for multiaxially loaded notched components based on two uniaxial strain-controlled tests

International Journal of Fatigue

2018 | journal-article

Numerical determination of plastic CTOD

Fatigue and Fracture of Engineering Materials and Structures

2018 | journal-article

Numerical study on the effect of mechanical properties variability in sheet metal forming processes

International Journal of Advanced Manufacturing Technology

2018 | journal-article

Multiaxial fatigue life prediction in notched samples based on fatigue master curves generated from two strain-controlled tests

Proceedings of the International Conference on Engineering (ICEUBI 2017)

2017 | conference-paper

Identification of the work hardening parameters using the bulge test with elliptical and circular dies

Book of Abstracts of the 2nd Symposium on Mechanical Engineering (DCE17)

2017 | conference-abstract

Anisotropy and plastic flow in the circular bulge test

International Journal of Mechanical Sciences

2017 | journal-article

Comparison of machine learning algorithms to build a model for predicting defects in sheet metal forming processes

Universidade de Coimbra Centro de Informatica e Sistemas

2017 | report

Effect of numerical parameters on plastic CTOD

Frattura ed Integrita Strutturale

2017 | journal-article

Fatigue crack growth modelling based on CTOD for the 7050-T6 alloy

Fatigue and Fracture of Engineering Materials and Structures

2017 | journal-article

Inverse identification of the Swift law parameters using the bulge test

International Journal of Material Forming

2017 | journal-article

Numerical determination of fatigue threshold from CTOD

Solid State Phenomena

2017 | book

On the influence of mechanical properties variability in the robustness of sheet metal forming processes

ECCOMAS Thematic Conference on Computational Modelling of Multi-Uncertainty and Multiscale Problems (COMUS17)

2017 | conference-abstract

Identification of material parameters for thin sheets from single biaxial tensile test using a sequential inverse identification strategy

International Journal of Material Forming

2016 | journal-article

Inverse Strategies for Identifying the Parameters of Constitutive Laws of Metal Sheets

Advances in Materials Science and Engineering

2016 | journal-article

Metodologia para determinação simultânea de parâmetros de leis constitutivas de chapas metálicas anisotrópicas, com recurso a um único ensaio

Ingenium (Revista oficial da Ordem dos Engenheiros)

2015 | newspaper-article

On the equivalence between sets of parameters of the yield criterion and the isotropic and kinematic hardening laws

International Journal of Material Forming

2015 | journal-article

On the identification of kinematic hardening with reverse shear test

Engineering with Computers

2015 | journal-article

Inverse Methodologies for Identifying Constitutive Parameters of Metal Sheets

Universidade de Coimbra

2014 | dissertation-thesis

A new strategy for the simultaneous identification of constitutive laws parameters of metal sheets using a single test

Computational Materials Science

2014 | journal-article

On the characterization of the plastic anisotropy in orthotropic sheet metals with a cruciform biaxial test

IOP Conference Series: Materials Science and Engineering

2014 | conference-paper

How to combine the parameters of the yield criteria and the hardening law

Key Engineering Materials

2013 | book

Inverse analysis methodology on metal sheets for constitutive parameters identification

International Journal of Materials Engineering Innovation

2013 | journal-article

Numerical study of mechanical behaviour of heterogeneous materials

Materials Science Forum

2013 | book

Methodology for Constitutive Parameters Identification of Metal Sheets with a Biaxial Tensile Test on a Flat Cruciform Specimen

YIC 2012, First ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences

2012 | conference-paper

A simple method for estimation of residual stresses by depth-sensing indentation

Strain

2012 | journal-article

Inverse analysis for constitutive parameters identification of metal sheets using a single test

15th International Conference on Experimental Mechanics (ICEM 15)

2012 | conference-abstract

Inverse analysis methodology for constitutive parameters identification of metal sheets with a biaxial tensile test on a flat cruciform specimen

ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences (YIC 2012)

2012 | conference-abstract

Caracterização do comportamento plástico de chapas metálicas com recurso ao ensaio de expansão biaxial simétrica

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Estudo numérico sobre o comportamento mecânico de materiais heterogéneos

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Inverse analysis methodology for constitutive parameters identification of metal sheets using a cruciform tensile specimen

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Metodologia de Análise Inversa para a Identificação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme

1º SIMPÓSIO CEMUC

2011 | conference-poster

Plastic deformation of heterogeneous materials: Numerical simulation study

Computational Plasticity XI - Fundamentals and Applications, COMPLAS XI

2011 | conference-paper

Metodologia de Análise Inversa para Determinação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme

Universidade de Coimbra

2010 | dissertation-thesis

Identification of discrete and continuous parameters of sheet metal constitutive models, through combined application of classification and regression machine learning algorithms

International Journal of Solids and Structures

2026 | journal-article

Machine learning-based identification of process deviations in deep drawing of a cylindrical cup

Journal of Materials Research and Technology

2026 | journal-article

Design and Experimental Assessment of a Continuous Bending Under Tension (CBT) Test Device for Universal Testing Machines

Machines

2026 | journal-article

Uncertainty influence on the deep drawing of a cylindrical cup

International Journal of Solids and Structures

2026 | journal-article

AI-Driven Design and Optimization of Bending Processes

Key Engineering Materials

2026 | journal-article

Machine Learning Algorithms Applied to the Identification of CPB06 Yield Criterion Parameters

Key Engineering Materials

2026 | journal-article

Towards DIC-Subset-Independent Machine Learning Models for Constitutive Parameter Identification in Sheet Metal Forming

Key Engineering Materials

2026 | journal-article

Uncertainty Detection in Sheet Metal Bending Processes with Machine Learning

Key Engineering Materials

2026 | journal-article

Deep Neural Network-Based Inverse Identification of the Mechanical Behavior of Anisotropic Tubes

Journal of Manufacturing and Materials Processing

2025 | journal-article

Demand Forecasting in the Automotive Industry: A Systematic Literature Review

Forecasting

2025 | journal-article

Limitations of Machine Learning in Predicting Material Parameters for Complex Constitutive Models

IDDRG 2025

2025 | conference-paper

Predicting edge cracking in sheet metal forming: evaluating machine learning models and data transformations

The International Journal of Advanced Manufacturing Technology

2025 | journal-article

Mesh Dependency Reduction When Using Machine Learning for Predicting Constitutive Parameters in Sheet Metal Forming

MDPI Metals

2025 | journal-article

Reducing Mesh Dependency in Dataset Generation for Machine Learning Prediction of Constitutive Parameters in Sheet Metal Forming

Metals

2025 | journal-article

A comparison between FEM predictions and DIC results of crack tip displacement field in AA2024-T3 CT specimens

Engineering Fracture Mechanics

2025 | journal-article

Numerical Study on Continuous-Bending-Under-Tension of 3rd Generation Steel

Metals

2025 | journal-article

Evaluating the Impact of 3D Constitutive Models on Predictive Performance of XGBoost for Material Parameter Identification

28th International Conference on Material Forming - ESAFORM 2025

2025 | conference-abstract

Stress distribution analytical analysis in the vicinity of cooling channels during injection moulding

TEchMA 2025 – new frontiers in mechanical engineering International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions

2025 | conference-poster

Uncertainty Analysis in Sheet Metal Forming Processes: Troubleshooting with Machine Learning.

28th International Conference on Material Forming - ESAFORM 2025

2025 | conference-abstract

Machine Learning Application to the Identification of Sheet Metal Constitutive Model Parameters

Machine Learning for Computational Science and Engineering

2024 | journal-article

Machine learning applications in sheet metal constitutive Modelling: A review

International Journal of Solids and Structures

2024 | journal-article

Influence of the Sheet Thickness Variability on the Deep Drawing of a Cylindrical Cup.

ESAFORM 2024

2024 | conference-paper

Identification of Sheet Metal Constitutive Parameters Using Metamodeling of the Biaxial Tensile Test on a Cruciform Specimen

Metals

2024 | journal-article

SecFL – Secure Federated Learning Framework for predicting defects in sheet metal forming under variability

Expert Systems with Applications

2024 | journal-article

Bending of third generation steel: Experimental and numerical approach

2024 | conference-paper

Influence of data filtering and noise on the calibration of constitutive models using machine learning techniques

2024 | conference-paper

Sensitivity Analysis of the Square Cup Forming Process Using PAWN and Sobol Indices

Metals

2024 | journal-article

VForm-xSteels: virtual materials database

ESAFORM 2024, 27th International ESAFORM Conference on Material Forming

2024 | conference-paper

Effect of L-T and S-T orientations on fatigue crack growth in an aluminum 7050-T7451 plate

Fatigue & Fracture of Engineering Materials & Structures

2023 | journal-article

Applications of Machine Learning in Forming Processes

Frontiers in Mechanical Engineering

2023 | journal-issue

Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models

2023 | conference-paper

Enhancing engineering education by means of the promotion of entrepreneurial mindsets and attitudes for societal challenges

2023 | conference-paper

Sensitivity analysis of the of the square cup stamping process using a polynomial chaos expansion

2023 | conference-paper

Influence of specimen orientation on fatigue crack growth in 7050-T7451 and 2050-T8 aluminium alloys

International Journal of Fatigue

2022 | journal-article

Machine Learning for Predicting Fracture Strain in Sheet Metal Forming

Metals

2022 | journal-article

Recent Advances and Applications of Machine Learning in Metal Forming Processes

Metals

2022 | journal-article

On the applicability of the cumulative strain energy density for notch fatigue analysis under multiaxial loading

Theoretical and Applied Fracture Mechanics

2022 | journal-article

Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

Key Engineering Materials

2022 | journal-article

On the Identification of Material Constitutive Model Parameters Using Machine Learning Algorithms

Key Engineering Materials

2022 | journal-article

Variance-Based Sensitivity Analysis of the Biaxial Test on a Cruciform Specimen

Key Engineering Materials

2022 | journal-article

Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

International Journal of Material Forming

2022 | journal-article

On the inverse identification methods for forming plasticity models using full-field measurements

IOP Conference Series: Materials Science and Engineering

2022 | journal-article

Load sequence effects and cyclic deformation behaviour of 7075-T651 aluminium alloy

International Journal of Fatigue

2022 | journal-article

Final Report of the Project - Easy-to-Use Strategy for the Accurate Material Description in Sheet Metal Forming

Fundação para a Ciência e a Tecnologia

2022 | report

Machine Learning for the Prediction of Edge Cracking in Sheet Metal Forming Processes

Machine Learning and Artificial Intelligence with Industrial Applications

2022 | book-chapter

On the Development of Dataset Supported Strategies for the Constitutive Parameters Identification of Metal Sheets

2022 | conference-paper

Fatigue crack propagation analysis in 2024-T351 aluminium alloy using nonlinear parameters

International Journal of Fatigue

2021 | journal-article

Notch fatigue analysis and crack initiation life estimation of maraging steel fabricated by laser beam powder bed fusion under multiaxial loading

International Journal of Fatigue

2021 | journal-article

Improving Federated Learning Protection with Digital Envelopes.

27ª Conferência Portuguesa de Reconhecimento de Padrões (RECPAD 2021)

2021 | conference-poster

Melhorando a Protecção da Aprendizagem Federada com Envelopes Digitais

XXII Congresso Nacional da Ordem dos Engenheiros

2021 | conference-poster

Effect of input variables uncertainty in free tube hydroforming process

ESAFORM 2021

2021 | journal-article

Numerical study of the square cup stamping process: a stochastic analysis

ESAFORM 2021

2021 | journal-article

Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification

Mechanics of Materials

2021 | journal-article

Federated Learning as a Privacy-Providing Machine Learning for Defect Predictions in Smart Manufacturing

Smart and Sustainable Manufacturing Systems

2021 | journal-article

Enhancing Data Integrity, Confidentiality and Authenticity with Digital Envelopes and Federated Learning

Computational Science and AI in Industry (CSAI 2021)

2021 | conference-abstract

Influence of the mesh size on plastic CTOD

IbCSI 2020, 5th Iberian Conference on Structural Integrity

2021 | conference-abstract

Machine learning for predicting defects in sheet metal forming under uncertainty

WCCM 2020, 14th World Congress in Computational Mechanics

2021 | conference-abstract

Recent Advances and Applications of Machine Learning in Metal Forming Processes

MDPI

2021 | edited-book

Numerical Prediction of the Fatigue Crack Growth Rate in SLM Ti-6Al-4V Based on Crack Tip Plastic Strain

Metals

2020 | journal-article

Fatigue Crack Growth from Notches: A Numerical Analysis

Applied Sciences

2020 | journal-article

A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading

KnE Engineering

2020 | journal-article

Numerical Study on the Forming Behaviour of Multilayer Sheets

Metals

2020 | journal-article

Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes

Metals

2020 | journal-article

Numerical Study on the Variability of Plastic CTOD

Materials

2020 | journal-article

Model for fatigue crack growth analysis

1st Virtual Conference on Structural Integrity - VCSI1

2020 | conference-paper

A numerical study of the effect of isotropic hardening parameters on mode I fatigue crack growth

Metals

2020 | journal-article

Effect of Young's modulus on fatigue crack growth

International Journal of Fatigue

2020 | journal-article

Effect of kinematic hardening parameters on fatigue crack growth

Theoretical and Applied Fracture Mechanics

2020 | journal-article

Inverse identification of the work hardening law from circular and elliptical bulge tests

Journal of Materials Processing Technology

2020 | journal-article

Fatigue Crack Growth in Maraging Steel Obtained by Selective Laser Melting

Applied Sciences

2019 | journal-article

A Mixed Experimental-numerical Energy-based Approach for Fatigue Life Assessment in Notched Samples under Multiaxial Loading

International Congress on Engineering — Engineering for Evolution

2019 | conference-paper

A mixed experimental-numerical energy-based approach for fatigue life assessment in notched samples under multiaxial loading

International Congress on Engineering (ICEUBI2019)

2019 | conference-abstract

Analytical sensitivity matrix for the inverse identification of hardening parameters of metal sheets

European Journal of Mechanics, A/Solids

2019 | journal-article

Comparing metamodeling techniques for variability analysis in sheet metal forming processes

AIP Conference Proceedings

2019 | conference-paper

Crack tip mechanisms: a numerical analysis

9th International Conference on Materials Structure and Micromechanics of Fracture

2019 | conference-paper

Effect of yield stress on fatigue crack growth

Frattura ed Integrita Strutturale

2019 | journal-article

Elastic correction of fatigue crack growth laws

Fatigue and Fracture of Engineering Materials and Structures

2019 | journal-article

Fatigue crack growth in notched specimens: A numerical analysis

Frattura ed Integrita Strutturale

2019 | journal-article

Fatigue crack growth versus plastic CTOD in the 304L stainless steel

Engineering Fracture Mechanics

2019 | journal-article

Hole Expansion Tests of Metal Sheets: Numerical Study

3rd Doctoral Congress in Engineering (DCE19)

2019 | conference-abstract

Machine Learning-based Approach for Predicting Defects under Uncertainty in Sheet Metal Forming Processes

ECCOMAS Computational Methods in Multi-scale, Multi-uncertainty and Multi-physics Problems (CM4P)

2019 | conference-abstract

Mixed numerical-experimental method for generation of energy-life fatigue master curves

Material Design & Processing Communications

2019 | journal-article

Multiaxial fatigue life evaluation in notched components via a rapid elastic-plastic TSED approach

First International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS 2019)

2019 | conference-abstract

Normal stress components during shear tests of metal sheets

International Journal of Mechanical Sciences

2019 | journal-article

Numerical prediction of fatigue threshold of metallic materials in vacuum

Engineering Fracture Mechanics

2019 | journal-article

Numerical study on hole expansion tests of metal sheets

Congress on Numerical Methods in Engineering (CMN2019)

2019 | conference-abstract

Rapid assessment of multiaxial fatigue lifetime in notched components using an averaged strain energy density approach

International Journal of Fatigue

2019 | journal-article

Single and ensemble classifiers for defect prediction in sheet metal forming under variability

Neural Computing and Applications

2019 | journal-article

Evaluation of ensemble methods for predicting defects in sheet metal forming

24th Portuguese Conference on Pattern Recognition (RECPAD 2018)

2018 | conference-poster

Analysis of fatigue crack growth based on plastic CTOD

Proceedings of the 19th International Colloquium on Mechanical Fatigue of Metals, University of Porto, Portugal

2018 | conference-paper

Analysis of fatigue crack propagation in sintered material based on plastic CTOD

Proceedings of the XVI Portuguese Conference on fracture (PCF 2018), Covilhã, Portugal

2018 | conference-paper

Evaluation of ensemble methods for predicting defects in sheet metal forming

24th Portuguese Conference on Pattern Recognition (RECPAD 2018)

2018 | conference-paper

Fatigue crack growth in the 2050-T8 aluminium alloy

International Journal of Fatigue

2018 | journal-article

Model Prediction of Defects in Sheet Metal Forming Processes

Communications in Computer and Information Science

2018 | book

New CTOD criterion for fatigue crack propagation analysis in 2024-t351 aluminium alloy

XXXV Encuentro del Grupo Español de Fractura

2018 | conference-abstract

New methodology of fatigue life evaluation for multiaxially loaded notched components based on two uniaxial strain-controlled tests

International Journal of Fatigue

2018 | journal-article

Numerical determination of plastic CTOD

Fatigue and Fracture of Engineering Materials and Structures

2018 | journal-article

Numerical study on the effect of mechanical properties variability in sheet metal forming processes

International Journal of Advanced Manufacturing Technology

2018 | journal-article

Multiaxial fatigue life prediction in notched samples based on fatigue master curves generated from two strain-controlled tests

Proceedings of the International Conference on Engineering (ICEUBI 2017)

2017 | conference-paper

Identification of the work hardening parameters using the bulge test with elliptical and circular dies

Book of Abstracts of the 2nd Symposium on Mechanical Engineering (DCE17)

2017 | conference-abstract

Anisotropy and plastic flow in the circular bulge test

International Journal of Mechanical Sciences

2017 | journal-article

Comparison of machine learning algorithms to build a model for predicting defects in sheet metal forming processes

Universidade de Coimbra Centro de Informatica e Sistemas

2017 | report

Effect of numerical parameters on plastic CTOD

Frattura ed Integrita Strutturale

2017 | journal-article

Fatigue crack growth modelling based on CTOD for the 7050-T6 alloy

Fatigue and Fracture of Engineering Materials and Structures

2017 | journal-article

Inverse identification of the Swift law parameters using the bulge test

International Journal of Material Forming

2017 | journal-article

Numerical determination of fatigue threshold from CTOD

Solid State Phenomena

2017 | book

On the influence of mechanical properties variability in the robustness of sheet metal forming processes

ECCOMAS Thematic Conference on Computational Modelling of Multi-Uncertainty and Multiscale Problems (COMUS17)

2017 | conference-abstract

Identification of material parameters for thin sheets from single biaxial tensile test using a sequential inverse identification strategy

International Journal of Material Forming

2016 | journal-article

Inverse Strategies for Identifying the Parameters of Constitutive Laws of Metal Sheets

Advances in Materials Science and Engineering

2016 | journal-article

Metodologia para determinação simultânea de parâmetros de leis constitutivas de chapas metálicas anisotrópicas, com recurso a um único ensaio

Ingenium (Revista oficial da Ordem dos Engenheiros)

2015 | newspaper-article

On the equivalence between sets of parameters of the yield criterion and the isotropic and kinematic hardening laws

International Journal of Material Forming

2015 | journal-article

On the identification of kinematic hardening with reverse shear test

Engineering with Computers

2015 | journal-article

Inverse Methodologies for Identifying Constitutive Parameters of Metal Sheets

Universidade de Coimbra

2014 | dissertation-thesis

A new strategy for the simultaneous identification of constitutive laws parameters of metal sheets using a single test

Computational Materials Science

2014 | journal-article

On the characterization of the plastic anisotropy in orthotropic sheet metals with a cruciform biaxial test

IOP Conference Series: Materials Science and Engineering

2014 | conference-paper

How to combine the parameters of the yield criteria and the hardening law

Key Engineering Materials

2013 | book

Inverse analysis methodology on metal sheets for constitutive parameters identification

International Journal of Materials Engineering Innovation

2013 | journal-article

Numerical study of mechanical behaviour of heterogeneous materials

Materials Science Forum

2013 | book

Methodology for Constitutive Parameters Identification of Metal Sheets with a Biaxial Tensile Test on a Flat Cruciform Specimen

YIC 2012, First ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences

2012 | conference-paper

A simple method for estimation of residual stresses by depth-sensing indentation

Strain

2012 | journal-article

Inverse analysis for constitutive parameters identification of metal sheets using a single test

15th International Conference on Experimental Mechanics (ICEM 15)

2012 | conference-abstract

Inverse analysis methodology for constitutive parameters identification of metal sheets with a biaxial tensile test on a flat cruciform specimen

ECCOMAS Young Investigators Conference on Computational Methods in Applied Sciences (YIC 2012)

2012 | conference-abstract

Caracterização do comportamento plástico de chapas metálicas com recurso ao ensaio de expansão biaxial simétrica

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Estudo numérico sobre o comportamento mecânico de materiais heterogéneos

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Inverse analysis methodology for constitutive parameters identification of metal sheets using a cruciform tensile specimen

Congresso de Métodos Numéricos e Computacionais em Engenharia (CMNE 2011)

2011 | conference-paper

Metodologia de Análise Inversa para a Identificação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme

1º SIMPÓSIO CEMUC

2011 | conference-poster

Plastic deformation of heterogeneous materials: Numerical simulation study

Computational Plasticity XI - Fundamentals and Applications, COMPLAS XI

2011 | conference-paper

Metodologia de Análise Inversa para Determinação Simultânea dos Parâmetros de Leis Constitutivas, com Recurso a um Provete Cruciforme

Universidade de Coimbra

2010 | dissertation-thesis

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