Ramon Helwing

Deep learning method for analysis and segmentation of fatigue damage in X-ray computed tomography data for fiber-reinforced polymers

Ramon Helwing, Daniel Hülsbusch, Frank Walther · Composites Science and Technology · 2022 · 47 citations

Engineering, Materials Engineering, Materials Science +17

Effect of carbon nanofibre orientation on fatigue properties of carbon fibre-reinforced polymers

Selim Mrzljak, Benjamin Zanghellini, Lars Gerdes et al. · Journal of Composite Materials · 2023 · 17 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Comparison of the damage evolution in glass fiber-reinforced polyurethane and epoxy in the HCF and VHCF regimes investigated by intermittent in situ X-ray computed tomography

Daniel Hülsbusch, Ramon Helwing, Selim Mrzljak et al. · IOP Conference Series Materials Science and Engineering · 2020 · 11 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Cycle-consistent generative adversarial networks for damage evolution analysis in fiber-reinforced polymers based on synthetic damage states

Ramon Helwing, Selim Mrzljak, Daniel Hülsbusch et al. · Composites Science and Technology · 2024 · 10 citations · Full text

Computing, Materials Engineering, Materials Science +17