Alexander Puchta, M.Sc.

  • 76131 Karlsruhe
    Kaiserstraße 12

Alexander Puchta, M.Sc.

Area of Research:

  • Industry 4.0
  • Automation of machine tools
  • Automated modeling of feed axes


  • SDM4FZI - Digitisation of brownfield production facilities for software-defined manufacturing
  • ProKI Karlsruhe - Karlsruhe Centre for AI in Machining
  • BatterI4.0 - Guide to the digitalisation of battery cell production

Curriculum Vitae:

since 07/2020

Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT)


Automated Identification of Components of Feed Axes
Puchta, A.; Frisch, M.; Fleischer, J.
2024. Production at the Leading Edge of Technology. Hrsg.: T. Bauernhansl, 143–151, Springer Nature Switzerland. doi:10.1007/978-3-031-47394-4_15
Training and validation dataset 3 of milling processes for time series prediction
Ströbel, R.; Mau, M.; Kader, H.; Erd, D.; Bless, D.; Deucker, S.; Puchta, A.; Fleischer, J.; Noack, B.
2024, June 18. doi:10.35097/feFwILjideOropmh
Autonome Modellierung von Maschinenverhalten – Ansatz für die autonome Modellierung des dynamischen Verhaltens von Fräsmaschinen und Potenziale dieses Ansatzes in der Industrie
Oexle, F.; Netzer, M.; Deiters, L.; Puchta, A.; Fleischer, J.
2024. ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb, 119 (5), 318–323. doi:10.1515/zwf-2024-1054
Concept for Individual and Lifetime-Adaptive Modeling of the Dynamic Behavior of Machine Tools
Oexle, F.; Heimberger, F.; Puchta, A.; Fleischer, J.
2024. Machines, 12 (2), Art.-Nr.: 123. doi:10.3390/machines12020123
Sensor- and Data-Supported Sustainable Manufacturing
Fleischer, J.; Hansjosten, M.; Sawodny, J.; Puchta, A.; Gönnheimer, P.
2024. Encyclopedia of Sustainable Technologies, 648–662, Elsevier. doi:10.1016/B978-0-323-90386-8.00128-5
Camera Placement Optimization for a Novel Modular Robot Tracking System
Baumgärtner, J.; Bertschinger, B.; Hoffmann, K.; Puchta, A.; Sawodny, O.; Reichelt, S.; Fleischer, J.
2023. 2023 IEEE SENSORS, Vienna, Austria, 29 October 2023 - 01 November 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SENSORS56945.2023.10324941
KI-Transferzentrum für die Industrie
Hansjosten, M.; Oexle, F.; Gönnheimer, P.; Heider, I.; Puchta, A.; Fleischer, J.
2023. wt Werkstattstechnik online
Increasing Robot Precision by Stroke Division
Baumgärtner, J.; Puchta, A.; Bertschinger, B.; Kanagalingam, G.; Sawodny, O.; Reichelt, S.; Fleischer, J.
2023. 2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 22-25 August 2023. Ed.: A. Bartoszewicz, 205–210, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MMAR58394.2023.10242468
Auto-identification of dynamic axis models in machine tools
Puchta, A.; Riegel, V.; Barton, D.; Fleischer, J.
2023. 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering Hrsg.: Teti, Prof Roberto, 118, 175–180. doi:10.1016/j.procir.2023.06.031
Software-Defined Manufacturing for the Entire Life Cycle at Different Levels of Production
Behrendt, S.; Martin, M.; Puchta, A.; Ströbel, R.; Fisel, J.; May, M.; Gönnheimer, P.; Fleischer, J.; Lanza, G.
2023. Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains : Stuttgart Conference on Automotive Production (SCAP2022). Ed.: N. Kiefl, 25–34, Springer International Publishing. doi:10.1007/978-3-031-27933-1_3
Model-Based Diagnosis of Feed Axes with Contactless Current Sensing
Hansjosten, M.; Bott, A.; Puchta, A.; Gönnheimer, P.; Fleischer, J.
2023. M. Liewald, T. Bauernhansl, H.-C. Möhring & A. Verl (Eds.), Production at the Leading Edge of Technology: Proceedings of the 12th Concress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Hrsg.: Mathias Liewald, Thomas Bauernhansl, Hans-Christian Möhring, Alexander Verl, 314–323, Springer. doi:10.1007/978-3-031-18318-8_33
Introduction of an industrial transfer learning use case systematization for machine tools
Netzer, M.; Michelberger, J.; Puchta, A.; Verl, A.; Fleischer, J.
2023. Procedia CIRP, 120, 398 – 403. doi:10.1016/j.procir.2023.09.009
KI-Einsatz in KMU: Einstiegshürden ausräumen [Clearing entry hurdles for AI deployment in SMEs – Artificial intelligence for German SMEs]
Heider, I.; Yu, H.; Krischke, N.; Wirth, B.; Puchta, A.; Fleischer, J.
2023. wt Werkstattstechnik online, 113 (07-08), 282 – 287. doi:10.37544/1436-4980-2023-07-08-16
Framework for the Application of Industry 4.0 in Lithium-Ion Battery Cell Production
Schmied, J.; Puchta, A.; Scharmann, T.; Töpper, H.-C.; Kampker, A.; Jürgen, F.; Dröder, K.; Daub, R.
2022. Proceedings of the Conference on Production Systems and Logistics, CPSL 17th - 20th May, Vancouver 2022, 151–160, Leibniz Universität Hannover. doi:10.15488/12168
Modular and flexible Automation Middleware based on LabVIEW and OPC UA
Künzel, A.; Puchta, A.; Gönnheimer, P.; Fleischer, J.
2021. 9th Manufacturing Engineering Society International Conference (MESIC 2021) 23rd-25th June 2021, Gijόn, Spain, Art.Nr.: 012109, Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Automated Identification of Parameters in Control Systems of Machine Tools
Gönnheimer, P.; Puchta, A.; Fleischer, J.
2021. B.-A. Behrens, A. Brosius, W. Hintze, S. Ihlenfeldt & J. P. Wulfsberg (Eds.), Production at the leading edge of technology – Proceedings of the 10th Congress of the German Academic Association for Production Technology (WGP), Dresden, 23-24 September 2020. Ed.: B.-A. Behrens, 568–577, Springer-Verlag. doi:10.1007/978-3-662-62138-7_57
Seamless and modular architecture for autonomous machine tools
Fleischer, J.; Puchta, A.; Gönnheimer, P.
2021. Journal of Machine Engineering, 21 (3), 40–46. doi:10.36897/jme/141565