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MS3 Department
MS3 Department
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Projects

FORMING TECHNOLOGY FORUM 2025
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Edge ductility in TRIP steelEdge ductility in TRIP steelInvestigating and modeling the edge fracture phenomenon in advanced high strength steels
Physically consistent data-driven consitituve models by machine learningPhysically consistent data-driven consitituve models by machine learningPhysics enriched machine learning models for modeling the consitutive behavior of complex materials
Advancing Nonlinear solid mechanics FEM with machine learningAdvancing Nonlinear solid mechanics FEM with machine learningMachine learning to enhance the performance the Finite Element Method in nonlinear solid mechanics through model order reduction
Hybrid Modelling of Lateral Flow in Hot Rolling of Steel StripsHybrid Modelling of Lateral Flow in Hot Rolling of Steel StripsDeveloping a hybrid framework capable of linking high-fidelity finite element simulations with analytical formulations that capture essential physical phenomena.
A data-driven model updating approach for robust optimization of (multi-stage) production processesA data-driven model updating approach for robust optimization of (multi-stage) production processesDeveloping hybrid models by integrating physics-based methods with data-driven approaches
Computational Modeling in the Determination of Structure-Property Relations of Additively Manufactured ProductsComputational Modeling in the Determination of Structure-Property Relations of Additively Manufactured ProductsComputational modeling to improve the accuracy and efficiency of three-dimensional (3D) microstructure analysis, bridging the gap between computational modeling and real-world material applications.
Inline Hybrid Modelling in Cold Rolling and FormingModeling of cold rolling and forming using a hybrid approach including physics based and machine learning models
A multi-scale Friction model for aluminum sheet metal formingA multi-scale Friction model for aluminum sheet metal formingA multi-scale friction model to characterize tribological behavior of aluminum at micro meso and macro scales.
A micro-mechanical roughness transfer model mastering strip surface roughness during cold and temper rollingA micro-mechanical roughness transfer model mastering strip surface roughness during cold and temper rollingUnderstanding the fundamental physics of the roughness transfer during rolling process and identify determining physical phenomena which take place at micro-scale (asperity scale) and macro-scale (roll-bite contact).
Finished Research Projects
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