Issue 2/2017
Integrative Production Technology
Content (14 Articles)
Introduction to integrative production technology
Christian Brecher, Denis Özdemir, Matthias Brockmann
Self-optimizing injection molding based on iterative learning cavity pressure control
Ch. Hopmann, D. Abel, J. Heinisch, S. Stemmler
Model-based predictive force control in milling: determination of reference trajectory
Max Schwenzer, Oliver Adams, Fritz Klocke, Sebastian Stemmler, Dirk Abel
High-speed and high-backdrivable actuation system considering variable-structured elastic design
Kazumasa Miura, Seiichiro Katsura
Predicting the potential of production structure changes using characteristic curves
Guenther Schuh, Christina Reuter, Felix Brambring, Melanie Luckert
Optimized state estimation by application of machine learning
Christian Brecher, Markus Obdenbusch, Melanie Buchsbaum
Cognition-enhanced assembly sequence planning for ergonomic and productive human–robot collaboration in self-optimizing assembly cells
Marco Faber, Alexander Mertens, Christopher M. Schlick
Cyber physical systems for predictive production systems
Jay Lee, Chao Jin, Behrad Bagheri
Model Predictive Control Approach for assembling Large Components in Motion
C. Storm, A. Schönberg, R. H. Schmitt
On the growth of intermetallic phases by heat treatment of friction stir welded aluminum steel joints
Andreas Naumov, Chris Mertin, Frederik Korte, Gerhard Hirt, Uwe Reisgen
Analysis and specification of the crash behaviour of plastics/metal-hybrid composites by experimental and numerical methods
Christian Hopmann, Jan Klein, Benjamin Ingo Schönfuß, Uwe Reisgen, Johannes Schönberger, Alexander Schiebahn
Improving the laser cutting process design by machine learning techniques
Hasan Tercan, Toufik Al Khawli, Urs Eppelt, Christian Büscher, Tobias Meisen, Sabina Jeschke
Augmenting research cooperation in production engineering with data analytics
Thomas Thiele, André Calero Valdez, Sebastian Stiehm, Anja Richert, Martina Ziefle, Sabina Jeschke