Clemens Zimmerling

Optimisation of manufacturing process parameters using deep neural networks as surrogate models

Julius Pfrommer, Clemens Zimmerling, Jinzhao Liu et al. · Procedia CIRP · 2018 · 139 citations · Full text

Textile Simulation, Engineering, Machine Learning +22

Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components

Luise Kärger, Siegfried Galkin, Clemens Zimmerling et al. · Composite Structures · 2018 · 71 citations

Materials Science, Fibre-reinforced Plastic, Engineering +11

A machine learning assisted approach for textile formability assessment and design improvement of composite components

Clemens Zimmerling, Dominik Dörr, Frank Henning et al. · Composites Part A Applied Science and Manufacturing · 2019 · 55 citations · Full text

Industrial Design, Engineering, Machine Learning +9

Optimisation of manufacturing process parameters for variable component geometries using reinforcement learning

Clemens Zimmerling, Christian Poppe, Oliver Stein et al. · Materials & Design · 2022 · 37 citations · Full text

Physics-informed neural networks for data-free surrogate modelling and engineering optimization – An example from composite manufacturing

Tobias Würth, Constantin Krauß, Clemens Zimmerling et al. · Materials & Design · 2023 · 35 citations · Full text