Marc-Andre Dittrich
Marc-Andre Dittrich
Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover
Verified email at - Homepage
Cited by
Cited by
Energy efficient machine tools
B Denkena, E Abele, C Brecher, MA Dittrich, S Kara, M Mori
CIRP Annals 69 (2), 646-667, 2020
Exergy analysis of incremental sheet forming
MA Dittrich, TG Gutowski, J Cao, JT Roth, ZC Xia, V Kiridena, F Ren, ...
Production Engineering 6, 169-177, 2012
Machine learning approach for optimization of automated fiber placement processes
J Brüning, B Denkena, MA Dittrich, T Hocke
Procedia CIRP 66, 74-78, 2017
Shifting value stream patterns along the product lifecycle with digital twins
B Schleich, MA Dittrich, T Clausmeyer, R Damgrave, JA Erkoyuncu, ...
Procedia CIRP 86, 3-11, 2019
Electrical energy and material efficiency analysis of machining, additive and hybrid manufacturing
A Wippermann, TG Gutowski, B Denkena, MA Dittrich, Y Wessarges
Journal of Cleaner Production 251, 119731, 2020
Cooperative multi-agent system for production control using reinforcement learning
MA Dittrich, S Fohlmeister
CIRP Annals 69 (1), 389-392, 2020
Self-optimizing tool path generation for 5-axis machining processes
MA Dittrich, F Uhlich, B Denkena
CIRP journal of manufacturing science and technology 24, 49-54, 2019
Inverse determination of constitutive equations and cutting force modelling for complex tools using Oxley's predictive machining theory
B Denkena, T Grove, MA Dittrich, D Niederwestberg, M Lahres
Procedia Cirp 31, 405-410, 2015
Automated production data feedback for adaptive work planning and production control
B Denkena, MA Dittrich, S Wilmsmeier
Procedia Manufacturing 28, 18-23, 2019
Simulation based planning of machining processes with industrial robots
J Brüning, B Denkena, MA Dittrich, HS Park
Procedia Manufacturing 6, 17-24, 2016
Towards dry machining of titanium-based alloys: A new approach using an oxygen-free environment
HJ Maier, S Herbst, B Denkena, MA Dittrich, F Schaper, S Worpenberg, ...
Metals 10 (9), 1161, 2020
Investigations on a standardized process chain and support structure related rework procedures of SLM manufactured components
B Denkena, MA Dittrich, S Henning, P Lindecke
Procedia Manufacturing 18, 50-57, 2018
Augmenting milling process data for shape error prediction
B Denkena, MA Dittrich, F Uhlich
Procedia CIRP 57, 487-491, 2016
Statistical approaches for semi-supervised anomaly detection in machining
B Denkena, MA Dittrich, H Noske, M Witt
Production Engineering 14, 385-393, 2020
Self-optimizing cutting process using learning process models
B Denkena, MA Dittrich, F Uhlich
Procedia Technology 26, 221-226, 2016
Competence-based personnel scheduling through production data
B Denkena, MA Dittrich, F Winter
Procedia Cirp 63, 265-270, 2017
Energy efficiency in machining of aircraft components
B Denkena, MA Dittrich, S Jacob
Procedia CIRP 48, 479-482, 2016
Methodology for integrative production planning in highly dynamic environments
B Denkena, MA Dittrich, S Jacob
Production Engineering 13, 317-324, 2019
Reprint of: Gentelligent processes in biologically inspired manufacturing
B Denkena, MA Dittrich, S Stamm, M Wichmann, S Wilmsmeier
CIRP Journal of Manufacturing Science and Technology 34, 105-118, 2021
Improving technological machining simulation by tailored workpiece models and kinematics
V Böß, B Denkena, B Breidenstein, MA Dittrich, HN Nguyen
Procedia CIRP 82, 224-230, 2019
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