Daniel Jácome da Cruz | Members

Category: Researcher
Organic Unit: Centre for Mechanical Technology and Automation
Email: djcruz@ua.pt
Ciência ID: 9E1A-9EC9-77D8
ORCID iD: 0000-0003-1854-8851

Daniel Cruz holds a PhD in Mechanical Engineering from the Faculty of Engineering of the University of Porto. His doctoral research focused on the development of data-driven constitutive models for advanced high-strength steels, integrating experimental characterization, numerical modelling, and artificial intelligence to predict material behaviour under complex loading conditions. His work was supported by a PhD scholarship awarded by the Portuguese Foundation for Science and Technology (FCT).
His research interests encompass computational mechanics, constitutive modelling of materials for metal forming applications, and the application of machine learning techniques to engineering problems. He has been involved in several research projects in the field of metal forming and has presented his work at national and international scientific conferences. He is currently a member of the research team ReachOptimum @ TEMA.

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fundings
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publications

Fundings

Machine learning methodologies in the development of accurate modelling applied to stamping of advanced high strength steels
09/30/2025
10.54499/2022.12657.BD
https://doi.org/10.54499/2022.12657.BD
Associate Laboratory of Energy, Transports and Aeronautics
12/31/2024
10.54499/UIDP/50022/2020
https://doi.org/10.54499/UIDP/50022/2020
ifDamagElse: Modelling and numerical simulation of damage in metallic sheets: anisotropic behaviour and tension-compression asymmetry coupled approach for formability prediction
05/31/2022
PTDC/EME-EME/30592/2017
RDForming: Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses
05/31/2022
PTDC/EME-EME/31243/2017
Watch4ming: Monitoring the Stamping of Advanced High Strength Steels
11/01/2019
POCI-01-0145-FEDER-016876
SmartBending: Smart Design, Optimization and Control of Sheet Metal Bending Processes
Realform: Stochastic Modelling and Uncertainty Quantification in Sheet Metal Forming Processes

Publications

Uncertainty influence on the deep drawing of a cylindrical cup
André F.G. Pereira; Armando E. Marques; Daniel.J. Cruz; Marta C. Oliveira; Pedro A. Prates; Tomás G. Parreira
International Journal of Solids and Structures | 2026
https://doi.org/10.1016/j.ijsolstr.2026.113927
Uncertainty Detection in Sheet Metal Bending Processes with Machine Learning
B Ribeiro; Daniel J. Cruz; Marques, Armando; Oliveira, M. C.; P.A. Prates; Pereira A.F.G.; Santos, Abel; T.G. Parreira
29th International Conference on Material Forming (Esaform 2026) | 2026
AI-Driven Design and Optimization of Bending Processes
Daniel J. Cruz; Diogo Fernandes; Marques, Armando; Neto, DM; Oliveira, M. C.; P.A. Prates; Pereira A.F.G.; Santos, Abel; T.G. Parreira
29th International Conference on Material Forming (Esaform 2026) | 2026
Rotary Draw Bending -- Analysis of Springback with Numerical Simulation and Experimental Validation
Almeida, Maria; Amaral, Rui L.; Cruz, Daniel J.; Darabi, Roya; Reis, Ana
6th Doctoral Congress in Engineering (DCE 2025) | 2025
Uncertainty analysis in sheet metal forming processes: Troubleshooting with machine learning
Cruz, Daniel J.; Fernandes, José Valdemar; Marques, Armando; Neto, DM; Oliveira, M. C.; P.A. Prates; Parreira, Tomás; Pereira A.F.G.; Santos, Abel
2025
Analysis of Springback in Rotary Draw Bending Process: Numerical Modelling with Experimental Validation
Almeida, Maria; Amaral, Rui L.; Barros, Manuel; Cruz, Daniel J.; Reis, Ana; Santos, Abel D.
MATEC Web of Conferences | 2025
https://doi.org/10.1051/matecconf/202540801077
Application of Recurrent Neural Networks in Uncertainty Analysis of Sheet Metal Forming
Cruz, Daniel; et al; Marques, Armando; Neto, Diogo; Oliveira, Marta; Parreira, Tomás; Prates, Pedro; Santos, Abel
MATEC Web of Conferences | 2025
https://doi.org/10.1051/matecconf/202540801071
Uncertainty Analysis in Sheet Metal Forming Processes: Troubleshooting with Machine Learning.
Abel Santos; Cruz, Daniel J.; Diogo Neto; José Valdemar Bidarra Fernandes; Marta Cristina Cardoso Oliveira; Parreira, Tomás G.; Pedro A. Prates; Pereira A.F.G.
28th International Conference on Material Forming - ESAFORM 2025 | 2025
Análise do Retorno Elástico em Processos de Dobragem de Tubo por Encurvamento Rotativo: Modelação Numérica com Validação Experimental
Amaral, Rui L.; Barros Manuel; Daniel J. Cruz; Reis, Ana; Santos, Abel; Santos, Pedro R.
43º SENAFOR | 2024
Dobragem de tubo por encurvamento rotativo: Modelação numérica do retorno elástico com validação experimental
Amaral, Rui L.; Cruz, Daniel J.; Manuel Barros; Pedro R. Santos; Reis, Ana; Santos, Abel
TECNOMETAL - Revista de informação técnico-cíentífica de Metalurgia e Metalomecânica | 2024
Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters
Amaral, Rui L.; Barbosa, Manuel R.; Cruz, Daniel J.; de Sa, Jose Cesar; Fernandes, José V.; Santos, Abel D.
Metals | 2024
http://dx.doi.org/10.3390/met14010084
Sistema automático de determinação da conformabilidade de chapas metálicas através do ensaio de expansão de furo e de técnicas de processamento digital de imagem
Amaral, Rui L.; Cruz, Daniel J.; João Manuel R.S. Tavares; Santos, Abel
TECNOMETAL - Revista de informação técnico-cíentífica de Metalurgia e Metalomecânica | 2024
ESAFORM 2021 cup drawing benchmark of an Al alloy: Critical follow up analysis of its potentials
Cazacu, Oana; et al; Frohn-Sörensen, Peter; Liu, Wencheng; Ma; Neto, DM; Oliveira, M.C.; Revil-Baudard, Benoit
ESAFORM 2023: The 26th Conference on Material Forming | 2023
Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
Amaral, R.L.; Cruz, D.J.; Santos, A.D.; Tavares, J.M.R.S.
Metals | 2023
https://www.scopus.com/inward/record.url?eid=2-s2.0-85172785576&partnerID=MN8TOARS
A Miniaturized Device Coupled with Digital Image Correlation for Mechanical Testing
Abel D. Santos; Daniel J. Cruz; José Xavier; Rui L. Amaral
Micromachines | 2022
https://doi.org/10.3390/mi13112027
Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
Aksen, Toros Arda; Alves, José L.; Amaral, Rui L.; Betaieb, Ehssen; Chandola, Nitin; Corallo, Luca; et al; Habraken, Anne Marie
International Journal of Material Forming | 2022
https://doi.org/10.1007/s12289-022-01672-w
Assessment of Work-Hardening Behavior of Sheet Metal Materials Using Meso- and Macro-Scale Specimens
Abel D. Santos; André F. G. Pereira; Daniel J. Cruz; Marta C. Oliveira; Rui L. Amaral; Vasco M. Simões
2022
Data-Driven Approach for Product Design and Development by Digital Twins
Baraati, A.; Barbosa, M. R.; Cruz, D. J.; Santos, A. D.
2022
Work Hardening of Metallic Sheets under Tension-Compression and Simple Shear Reverse Loading
Amaral, Rui; Cruz, Daniel; Oliveira, Marta; Pereira, Andre; Santos, Abel; Simoes, Vasco
26th International ESAFORM Conference on Material Forming | 2022
Fracture prediction of third generation advanced high strength steels using Hosford-Coulomb damage model
Cesar de Sá, Jose; Cruz, Daniel; Amaral, Rui; Jimenez, Manuel; Santos, Abel
26th International ESAFORM Conference on Material Forming | 2022
Investigations on contact pressure in sheet metal forming of advanced high-strength steels
Abel D. Santos; Catarina Pereira; Daniel J. Cruz; Paulo Duarte; Rui L. Amaral; Sara S. Miranda
Engineering Manufacturing Letters | 2022
https://doi.org/10.24840/2795-5168_001-001_0002
Application of Machine Learning to Bending Processes and Material Identification
Daniel J. Cruz; Manuel R. Barbosa; Rui L. Amaral; Santos Ab; Sara S. Miranda
Metals | 2021
https://doi.org/10.3390/met11091418
Assessment of scatter on material properties and its influence on formability in hole expansion
Amaral, Rui; Cesar de Sa, Jose; Cruz, Daniel; Fernandes, José Valdemar; Miranda, Sara; Santos, Abel
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications | 2021
http://dx.doi.org/10.1177/1464420721994868
Desenvolvimento de equipamento universal para ensaios de conformabilidade em chapas metálicas
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel; Sousa, João
TECNOMETAL - Revista de informação técnico-cíentífica de Metalurgia e Metalomecânica | 2021
An Integrated Methodology for HER Determination in Hole Expansion Test
Amaral, R. L.; Cruz, D. J.; Fernandes, J. V.; Mendes, J. G.; Miranda, S. S.; Santos, A. D.
Materials Design and Applications III | 2021
https://doi.org/10.1007/978-3-030-68277-4_16
Numerical Simulation of a Cylindrical Cup Test for Validation of Anisotropic Materials Using Non-associated Flow Rule
Amaral, Rui; Cesar de Sa, Jose; Cruz, Daniel; Miranda, Sara; Santos, Abel; Wagre, Dipak
Materials Design and Applications III | 2021
http://dx.doi.org/10.1007/978-3-030-68277-4_15
Desenvolvimento de Equipamento para Ensaios Mecânicos Uniaxiais em Provetes Miniaturizados de Chapa Metálica
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel
12º Congresso Nacional de Mecânica Experimental (CNME 2020) | 2021
Phase-field approach in elastoplastic solids: application of an iterative staggered scheme and its experimental validation
Azinpour, E.; Cruz, D.J.; De Sá, J.M.A.C.; Santos, A.
Computational Mechanics | 2021
http://www.scopus.com/inward/record.url?eid=2-s2.0-85106414161&partnerID=MN8TOARS
Minisample tensile-compression testing for sheet metal mechanical characterization
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel; Xavier, José
3rd International Conference on Materials Design and Applications (MDA 2020) | 2020
Numerical Analysis of Anisotropic Sheet Metals Based on Non Associated Flow
Amaral, Rui; Cesar de Sa, Jose; Cruz, Daniel; Miranda, Sara; Santos, Abel; Wagre, Dipak
3rd International Conference on Materials Design and Applications (MDA 2020) | 2020
Novos materiais e ensaios de conformabilidade em chapas metálicas
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel; Sousa João
TECNOMETAL - Revista de informação técnico-cíentífica de Metalurgia e Metalomecânica | 2020
Equipamento para ensaios mecânicos uniaxiais em provetes miniaturizados de chapa metálica
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel
TECNOMETAL - Informação Técnico-Científica de Metalurgia e Metalomecânica | 2020
Development of a mini-tensile approach for sheet metal testing using Digital Image Correlation
Amaral, Rui L.; Cruz, Daniel J.; Moreira, PMGP; Santos, Abel D.; Shamchi, Sahand P.; Tavares, Paulo J.
Procedia Structural Integrity | 2020
http://dx.doi.org/10.1016/j.prostr.2020.04.036
Plastic flow rule formulations for the analysis of anisotropic sheet metals
Amaral, Rui; Cesar de Sa, Jose; Cruz, Daniel; Miranda, Sara; Santos, Abel; Wagre, Dipak
International Deep-Drawing Research Group (IDDRG 2020) | 2020
Material properties scatter and its influence on formability behavior in sheet metal forming process
Amaral, Rui; Cesar de Sa, Jose; Cruz, Daniel; Fernandes, José Valdemar; Miranda, Sara; Santos, Abel
3rd International Conference on Materials Design and Applications (MDA 2020) | 2020
Development of a miniature testing for sheet metal mechanical characterization
Amaral, Rui; Cruz, Daniel; Joaquim Gabriel Mendes; Miranda, Sara; Santos, Abel; Trindade, Miguel
3rd Doctoral Congress in Engineering (DCE 2019) | 2019

Data source:

Fundings

Machine learning methodologies in the development of accurate modelling applied to stamping of advanced high strength steels

Associate Laboratory of Energy, Transports and Aeronautics

ifDamagElse: Modelling and numerical simulation of damage in metallic sheets: anisotropic behaviour and tension-compression asymmetry coupled approach for formability prediction

RDForming: Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses

Watch4ming: Monitoring the Stamping of Advanced High Strength Steels

SmartBending: Smart Design, Optimization and Control of Sheet Metal Bending Processes

Realform: Stochastic Modelling and Uncertainty Quantification in Sheet Metal Forming Processes

Publications

Uncertainty influence on the deep drawing of a cylindrical cup

Uncertainty Detection in Sheet Metal Bending Processes with Machine Learning

AI-Driven Design and Optimization of Bending Processes

Rotary Draw Bending -- Analysis of Springback with Numerical Simulation and Experimental Validation

Uncertainty analysis in sheet metal forming processes: Troubleshooting with machine learning

Analysis of Springback in Rotary Draw Bending Process: Numerical Modelling with Experimental Validation

Application of Recurrent Neural Networks in Uncertainty Analysis of Sheet Metal Forming

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

Análise do Retorno Elástico em Processos de Dobragem de Tubo por Encurvamento Rotativo: Modelação Numérica com Validação Experimental

Dobragem de tubo por encurvamento rotativo: Modelação numérica do retorno elástico com validação experimental

Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters

Sistema automático de determinação da conformabilidade de chapas metálicas através do ensaio de expansão de furo e de técnicas de processamento digital de imagem

ESAFORM 2021 cup drawing benchmark of an Al alloy: Critical follow up analysis of its potentials

Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test

A Miniaturized Device Coupled with Digital Image Correlation for Mechanical Testing

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

Assessment of Work-Hardening Behavior of Sheet Metal Materials Using Meso- and Macro-Scale Specimens

Data-Driven Approach for Product Design and Development by Digital Twins

Work Hardening of Metallic Sheets under Tension-Compression and Simple Shear Reverse Loading

Fracture prediction of third generation advanced high strength steels using Hosford-Coulomb damage model

Investigations on contact pressure in sheet metal forming of advanced high-strength steels

Application of Machine Learning to Bending Processes and Material Identification

Assessment of scatter on material properties and its influence on formability in hole expansion

Desenvolvimento de equipamento universal para ensaios de conformabilidade em chapas metálicas

An Integrated Methodology for HER Determination in Hole Expansion Test

Numerical Simulation of a Cylindrical Cup Test for Validation of Anisotropic Materials Using Non-associated Flow Rule

Desenvolvimento de Equipamento para Ensaios Mecânicos Uniaxiais em Provetes Miniaturizados de Chapa Metálica

Phase-field approach in elastoplastic solids: application of an iterative staggered scheme and its experimental validation

Minisample tensile-compression testing for sheet metal mechanical characterization

Numerical Analysis of Anisotropic Sheet Metals Based on Non Associated Flow

Novos materiais e ensaios de conformabilidade em chapas metálicas

Equipamento para ensaios mecânicos uniaxiais em provetes miniaturizados de chapa metálica

Development of a mini-tensile approach for sheet metal testing using Digital Image Correlation

Plastic flow rule formulations for the analysis of anisotropic sheet metals

Material properties scatter and its influence on formability behavior in sheet metal forming process

Development of a miniature testing for sheet metal mechanical characterization