Konferenzen

• N. Zimmermann, S. Lang, J. Mayr, K. Wegener, The impact of self-learning thermal error compensation models on the accuracy of 4-axis thermal test pieces, The 19th International Conference on Precision Engineering, 2022, Nara, Japan, [BibTeX]
  
  
• K. Wegener, J. Mayr, N. Zimmermann, P. Kaftan, Intelligent thermal compensation of machine tools, Wiener Produktionstechnik Kongress 2022, 2022, Wien, Österreich, [BibTeX]
  
  
• N. Zimmermann, J. Mayr, K. Wegener, An action-oriented teaching approach for intelligent and energy efficient precision manufacturing, 50th SME North American Manufacturing Research Conference, 2022, West Lafayette, USA, [BibTeX][Abstract]
  
  
• N. Zimmermann, K. Jan-Marc, J. Mayr, K. Wegener, On-machine measurement cycle for the adaptive thermal error compensation of linear axes, euspen’s 22nd International Conference & Exhibition, 2022, Geneva, Schweiz, [BibTeX][Abstract]
  
  
• S. Lang, N. Zimmermann, J. Mayr, M. Bambach, K. Wegener, Influences of metalworking fluid on the thermal errors of a 4-axis thermal test piece, Special Interest Group Meeting on Thermal Issues, 2022, Zürich, Schweiz, [BibTeX][Abstract][Paper]
  
  
• N. Zimmermann, J. Mayr, K. Wegener, Statistical analysis of self-optimizing thermal error compensation models for machine tools, Special Interest Group Meeting on Thermal Issues 2022, 2022, Zürich, Schweiz, [BibTeX][Abstract]
  
  
• N. Zimmermann, J. Mayr, K. Wegener, Extended discrete R-Test as on-machine measurement cycle to separate the thermal errors in Z-direction, Special Interest Group Meeting: Thermal Issues 2020, 2020, Aachen, Deutschland, [BibTeX]
  
  
• P. Hernández, N. Zimmermann, F. Pavliček, P. Blaser, W. Knapp, J. Mayr, K. Wegener, Learning Efficient Modeling and Compensation for Thermal Behavior of Machine Tools, MTTRF 2018 Annual Meeting, 2018, USA, [BibTeX]
  
  

Journals

• N. Zimmermann, T. Büchi,, J. Mayr, K. Wegener, Self-optimizing thermal error compensation models with adaptive inputs using Group-LASSO for ARX-models, Journal of Manufacturing Systems, 2022, DOI https://doi.org/10.1016/j.jmsy.2022.04.015, Band 64, Seiten 615--625, [BibTeX][Abstract]
  
  
• N. Zimmermann, B. Mario, J. Mayr, K. Wegener, Autonomously triggered model updates for self-learning thermal error compensation, CIRP Annals, 2021, DOI https://doi.org/10.1016/j.cirp.2021.04.029, Band 70, Nr. 1, Seiten 431-434, [BibTeX]
  
  
• N. Zimmermann, S. Lang, P. Blaser, J. Mayr, Adaptive input selection for thermal error compensation models, CIRP Annals, 2020, DOI https://doi.org/10.1016/j.cirp.2020.03.017, Band 69, Nr. 1, Seiten 485 -- 488, [BibTeX][Abstract]
  
  
• N. Zimmermann, S. Ibaraki, Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle, The International Journal of Advanced Manufacturing Technology, 2020, DOI https://doi.org/10.1007/s00170-020-05105-3, Band 107, Nr. 5-6, Seiten 2107-2120, [BibTeX]
  
  
• N. Zimmermann, P. Hernández, P. Blaser, J. Mayr, Laboratory practice energy efficient production, ETH Learning and Teaching Journal, 2018, ISSN 2624-7992, Band 1, Nr. 1, [BibTeX]
  
  

Abgeschlossene Arbeiten

• Philip Blaser, Moritz Wiessner, Nico Zimmermann, Josef Mayr, Semesterarbeit, Development of an IoT Wireless Temperature Sensor System for an Industry 4.0 Application, 2018 [Ausschreibung]
  
  
• Philip Blaser, Nico Zimmermann, Josef Mayr, Konrad Wegener, Dahlem Philipp, Schmitt Robert, Masterarbeit, Automatic Estimation of Optimal Data Inputs for Adaptive Learning Control for Thermal Error Compensation, 2018 [Ausschreibung]