Christoph Hartmann

Technical University of Munich

Germany

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Articles (20)

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2025

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2023

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2023

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2023

Collaborators (4)

Martin F.-X. Wagner

Chemnitz University of Technology

GERMANY

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Wolfram Volk

Technical University of Munich

GERMANY

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Thomas Tobie

Head of Department - Load Carrying Capacity of Involute Gears

Technical University of Munich

GERMANY

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Philipp Lechner

Assistant Professor - Data-driven Materials Processing

University of Augsburg

GERMANY

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Christoph Hartmann

Research Interests

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Articles (20)

Synthetic training data for crack propagation measurement by neural networks

Application of point tracking in the field of metal forming for machine and process characterisation and monitoring

Towards large-scale production of improved magnetic flux guidance structures in non-grain-oriented electrical steel

Training robust neural networks for uncertainty prediction in stamping technology

User friendly FE Formulation for anisotropic distortional hardening model based on non-associated flow plasticity and its application to springback prediction

An inline point-tracking approach for the real-time monitoring of the free-form bending process

Straightforward identification of flow curve and yield locus parameters from three-point bending experiments

Methodische Entwicklung und Bewertung neuer Fertigungsrouten

Simulation-based data reduction and data processing for sheet metal forming in the hybrid twin framework

A physically-informed machine learning model for freeform bending

Spatio-Trajectorial Optical Flow for Higher-Order Deformation Analysis in Solid Experimental Mechanics

Advantages in the production of power transmitting gears by fineblanking

Establishing Equal-Channel Angular Pressing (ECAP) for sheet metals by using backpressure: manufacturing of high-strength aluminum AA5083 sheets

Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis

An artificial neural network approach on crystal plasticity for material modelling in macroscopic simulations

Impact of the process velocities on the quality of free-form bent parts

Analysis of the melting and solidification process of aluminum in a mirror furnace using Fiber-Bragg-Grating and numerical models

Predicting the local solidification time using spherical neural networks

Digitale und optimierte Produktionslinienplanung/Automation in factory and production planning – Digital and optimized production line planning

Predicting the solidification time of low pressure die castings using geometric feature-based machine learning metamodels

Collaborators (4)

Martin F.-X. Wagner

Wolfram Volk

Thomas Tobie

Philipp Lechner

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