
- Category
- Researcher
- Organic Unit
- Centre for Mechanical Technology and Automation
- 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.
- 0fundings
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.BDAssociate Laboratory of Energy, Transports and Aeronautics
12/31/2024
10.54499/UIDP/50022/2020ifDamagElse: 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/30592/2017RDForming: Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses
05/31/2022
PTDC/EME-EME/31243/2017Watch4ming: Monitoring the Stamping of Advanced High Strength Steels
11/01/2019
POCI-01-0145-FEDER-016876SmartBending: Smart Design, Optimization and Control of Sheet Metal Bending Processes
Realform: Stochastic Modelling and Uncertainty Quantification in Sheet Metal Forming Processes