Julian Heinisch

Cross-phase Model-based Predictive Cavity Pressure Control in Injection Molding

Christian Hopmann, Dirk Abel, Sebastian Stemmler, 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

Interdisciplinary Data Driven Production Process Analysis for the Internet of Production

Gerhard Lakemeyer, Tobias Meisen, Sabina Jeschke, 2018 .

Transfer-Learning: Bridging the Gap between Real and Simulation Data for Machine Learning in Injection Molding

Tobias Meisen, Thomas Thiele, Christian Hopmann, 2018 .

Design framework for model-based self-optimizing manufacturing systems

Robert Schmitt, Dirk Abel, Uwe Reisgen, 2018 .

Compensating Viscosity Fluctuations in Injection Moulding

Julian Heinisch, Ch. Hopmann, M. Theunissen, 2017 .

Process development for the production of plastics parts with micro features

Torben Fischer, Christian Hopmann, Julian Heinisch, 2015 .

From simulation to injection molding machine - Optimized process setup based on machine learning

Christian Hopmann, Julian Heinisch, 2017 .

Combined learning processes for injection moulding based on simulation and experimental data

Tobias Meisen, Sabina Jeschke, Christian Hopmann, 2019, PROCEEDINGS OF PPS-33 : The 33rd International Conference of the Polymer Processing Society – Conference Papers.

Von der Simulation in die Maschine - Objektivierte Prozesseinrichtung durch maschinelles Lernen

Torben Fischer, Christian Hopmann, Matthias Theunissen, 2018 .

Self-optimizing Production Technologies

Wolfgang Schulz, Fritz Klocke, Robert Schmitt, 2017 .

Influence on Product Quality by pvT-Optimised Processing in Injection Compression Molding

Christian Hopmann, Julian Heinisch, Axel Reßmann, 2016 .