Joachim Stanke

A predictive model for die roll height in fine blanking using machine learning methods

Joachim Stanke, Andreas Feuerhack, Daniel Trauth et al. · Procedia Manufacturing · 2018 · 17 citations · Full text

Support Vector Machine, Engineering, Machine Learning +9

A time series classification approach to non-destructive hardness testing using magnetic Barkhausen noise emission

Martin Unterberg, Joachim Stanke, Daniel Trauth et al. · Production Engineering · 2021 · 12 citations · Full text

Engineering, Machine Learning, Process Setup +18

Setup of a Parameterized FE Model for the Die Roll Prediction in Fine Blanking using Artificial Neural Networks

Joachim Stanke, Daniel Trauth, Andreas Feuerhack et al. · Journal of Physics Conference Series · 2017 · 10 citations · Full text

Artificial Intelligence, Die Roll Prediction, Engineering +14

Development of a hybrid DLT cloud architecture for the automated use of finite element simulation as a service for fine blanking

Joachim Stanke, Martin Unterberg, Daniel Trauth et al. · The International Journal of Advanced Manufacturing Technology · 2020 · 10 citations · Full text