Alexander Bott, M.Sc.

Area of Research:

Industry 4.0
- Wear models for drive elements
- Sensor integration

General Tasks:

Supervision drive laboratory
Demo Center I4.0
Talent Pool

Test benches:

Curriculum Vitae:

seit 04/2022	Research associate at the Institute of Production Engineering (wbk) of the Karlsruhe Institute of Technology (KIT)
09/2019 – 03/2022	Master's degree (M.Sc) in mechanical engineering at the Karlsruhe Institute of Technology (KIT)
10/2015-08/2019	Bachelor studies (B.Sc) in mechanical engineering at the Karlsruhe Institute of Technology (KIT)
09/2013-09/2015	Technical Secondary School
07/2012-09/2013	Trained mechanic at Felsomat GmbH & Co. KG
09/2009-07/2012	Apprenticeship at Felsomat GmbH & Co. KG

Publications

Demands resulting from climate change and rising energy costs compel companies to handle resources more consciously along their value chains.; [Vom Verbrauchsmonitoring zur Verbrauchsprognose Untersuchung des Umgangs produzierender Unternehmen mit Energieverbrauchsmonitoring und vorhersage]
Ströbel, R.; Bott, A.; Hutt, L.; Groß, S.; Fleischer, J.
2024. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 119 (1-2), 80 – 84. doi:10.1515/zwf-2024-1009

Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears
Gauder, D.; Bott, A.; Gölz, J.; Lanza, G.
2023. Computers in Industry, 146, Art.-Nr.: 103854. doi:10.1016/j.compind.2023.103854

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

Monitoring of Tool and Component Wear for Self-Adaptive Digital Twins: A Multi-Stage Approach through Anomaly Detection and Wear Cycle Analysis
Ströbel, R.; Bott, A.; Wortmann, A.; Fleischer, J.
2023. Machines, 11 (11), Art.Nr.: 1032. doi:10.3390/machines11111032

Cyber-Physical Test Environment for the Identification of Interacting Wear Effects in Feed Axes
Bott, A.; Stöbel, R.; Osen, G.; Fleischer, J.
2023. Journal of Machine Engineering, 23 (1), 123–132. doi:10.36897/jme/162266

Generation of Artificial Learning Data to Train Functional Meta-Models of Micro Gears
Schiller, V.; Gauder, D.; Gölz, J.; Bott, A.; Wannenwetsch, M.; Lanza, G.
2022. Procedia CIRP, 114, 67–72. doi:10.1016/j.procir.2022.10.010

Inline qualification of focus variation metrology for a series production of micro gears = Inline-Qualifizierung der Fokusvariations-Messtechnik für die Serienproduktion von Mikrozahnrädern
Gauder, D.; Gölz, J.; Bott, A.; Jung, N.; Lanza, G.
2022. tm - Technisches Messen, 89 (9), 594–611. doi:10.1515/teme-2022-0047

Comparative analysis between single flank rolling test for micro gears and analytical simulation of optical measurements = Vergleichende Analyse zwischen der Einflankenwälzprüfung für Mikrozahnräder und der analytischen Simulation von optischen Messdaten
Gauder, D.; Gölz, J.; Bott, A.; Lanza, G.
2022. tm - Technisches Messen, 89 (9), 580–593. doi:10.1515/teme-2022-0041