Daniel Hülsbusch

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

Optimization and Quality Evaluation of the Interlayer Bonding Performance of Additively Manufactured Polymer Structures

Patrick Striemann, Daniel Hülsbusch, Michael Niedermeier et al. · Polymers · 2020 · 37 citations · Full text

Engineering, Materials Engineering, Materials Science +15

In situ computed tomography for the characterization of the fatigue damage development in glass fiber-reinforced polyurethane

Daniel Hülsbusch, Selim Mrzljak, Frank Walther · Materials Testing · 2019 · 21 citations

Natural Sciences, Materials Engineering, Materials Science +17

Development of an energy-based approach for optimized frequency selection for fatigue testing on polymers – Exemplified on polyamide 6

Daniel Hülsbusch, Andreas Kohl, Patrick Striemann et al. · Polymer Testing · 2019 · 20 citations

Natural Sciences, Materials Engineering, Materials Science +16

Constant Temperature Approach for the Assessment of Injection Molding Parameter Influence on the Fatigue Behavior of Short Glass Fiber Reinforced Polyamide 6

Selim Mrzljak, Alexander Delp, André Schlink et al. · Polymers · 2021 · 15 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16