wbk

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

Projects:

  • 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)

Publications


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
Convolutional-Based Encoder–Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5
Schlagenhauf, T.; Wolf, J.; Puchta, A.
2022. mdpi data, 7 (175), Article no: 175. doi:10.3390/data7120175
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
Schlagenhauf, T.; Wolf, J.; Puchta, A.
2022, October 19. doi:10.5445/IR/1000151546
Process Segmented based Intelligent Anomaly Detection in Highly Flexible Production Machines under Low Machine Data Availability
Netzer, M.; Bach, J.; Puchta, A.; Gönnheimer, P.; Fleischer, J.
2022. Procedia CIRP, 107, 647–652. doi:10.1016/j.procir.2022.05.040
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
Industrie 4.0 in der Batteriezellproduktion : Systematische Integration von Industrie 4.0 in der Batteriezellproduktion = Systemic integration of Industry 4.0 in battery cell production – Industry 4.0 in battery cell production
Puchta, A.; Schmied, J.; Scharmann, T.; Töpper, H.; Fleischer, J.; Kampker, A.; Dröder, K.; Daub, R.
2022. WT Werkstattstechnik, 112 (7-8), 496–500. doi:10.37544/1436-4980-2022-07-08-50
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