Jim A. Bergmann
Virtual Machining Jim A. Bergmann, M.Sc. E-Mail jim.bergmann@tu-dortmund.de Phone (+49) 231 755-2412 Room Otto-Hahn-Str. 12, R. 2022 Address TU Dortmund University Fakultät für Informatik – Virtual Machining Otto-Hahn-Straße 12 44227 Dortmund © VM/TU Dortmund Research interest Development of simulation systems for the modelling of manufacturing processes Geometric modeling of tool components Design of surrogate models to predict process forces and dynamics Processing and analysis of measurement data for process evaluation Software development in C++ and Python Research projects Virtual Machining Stochastic Modeling of the Interaction of Tool Wear and the Machining Affected Zone in Nickel-Based Superalloys, and Application in Dynamic Stability Tool and process design: Simulation of honing processes Simulation-based design and manufacture of variable edge geometries along the cutting edges on cutting tools Supervised theses (Selection) Development of an analysis framework for dexel-based modeling of the machine affected zone as a function of the NC strategy in milling processes Simulation of robotic air-assisted wet-jet cutting processes to optimize process paths for given cutting edge shapes Development of a methodology for the adaptation of part topologies for the reduction of shape deviations during selective laser melting Approximation of digitized cutting tool topographies using structured grids Identification of shape deviations of additively manufactured components for the design of cutting post-processing Publications 2026 Maximizing Predictive Accuracy Under Budgetary Constraints Using Rejection Ensembles Teasdale, T.J., Bergmann, J.A., Buschjäger, S., Wiederkehr, P., Chen, J.J. 20th CIRP Conference on Intelligent Computation in Manufacturing Engineering (accepted) Simulation-based analysis of alignment and eccentricity sensitivity in wet abrasive jet machining Bergmann, J.A., Polat, C., Peters, J., Biermann, D., Wiederkehr, P. Manufacturing Letters, 48 (2026), 43-46 DOI: https://doi.org/10.1016/j.mfglet.2026.02.011 A Simulation-Based Approach for the Estimation of Inclination-Dependent Material Removal and Subsurface Influence in Wet Abrasive Jet Machining Bergmann, J.A., Peters, J., Polat, C., Kipp, M., Biermann, D., Wiederkehr, P. Procedia CIRP, 138 (2026): 997-1002 DOI: https://doi.org/10.1016/j.procir.2026.01.172 2025 Modeling topographical variations of cutting edges to consider the stochastic behavior of tool wear in milling simulations Bergmann, J.A., Wiederkehr, P. Procedia CIRP, 133 (2025): 483-488 DOI: https://doi.org/10.1016/j.procir.2025.02.083 2024 Geometric physically-based simulation of microfinishing: Tool design impact on workpiece shape Siebrecht, T., Bergmann, J.A., Heining, I., Tilger, M., Biermann, D., Wiederkehr, P. Production Engineering - Research and Development (2024) DOI: https://doi.org/10.1007/s11740-024-01309-8 Simulation of process forces and topographical characteristics of single grains in microfinishing processes Heining, I., Bergmann, J.A., Tilger, M., Biermann, D., Wiederkehr, P. Production Engineering - Research and Development (2024) DOI: https://doi.org/10.1007/s11740-024-01285-z 2023 A systematic approach for data acquisition and analysis of spindle speed-dependent modal parameters F. Wöste, J. A. Bergmann and P. Wiederkehr Procedia CIRP, 118(2023): 205-210 DOI: https://doi.org/10.1016/j.procir.2023.06.036 Simulation-based analysis for the machining of thin-walled, additively manufactured support structures E. Jaeger, J. A. Bergmann and P. Wiederkehr Procedia CIRP, 118(2023): 454-458 DOI: https://doi.org/10.1016/j.procir.2023.06.078 An analysis of the sensitivity of cutting force coefficients and their influence on the variability of stability diagrams J. A. Bergmann, F. Wöste and P. Wiederkehr Production Engineering - Research and Development (2023) DOI: https://doi.org/10.1007/s11740-022-01181-4 2022 A methodology to integrate process-induced subsurface characteristics into a digital twin-based framework for the evaluation of machining processes J. A. Bergmann, F. Wöste and P. Wiederkehr Procedia CIRP 107 (2022): 125-130 DOI: https://doi.org/10.1016/j.procir.2022.04.021 2021 A Synthesis-based Tool Path Planning Approach for Machining Operations T. Schäfer, J. A. Bergmann, R. G. Carballo, J. Rehof and P. Wiederkehr Procedia CIRP 104C (2021), pp. 917-922 DOI: https://doi.org/10.1016/j.procir.2021.11.154 Deformation Behavior of 42CrMo4 Over a Wide Range of Temperatures and Strain Rates in Split-Hopkinson Pressure Bar Tests J. S. Kimm, J. A. Bergmann, F. Wöste, F. Pöhl, P. Wiederkehr and W. Theisen Materials Science and Engineering: A (August 2021) DOI: https://doi.org/10.1016/j.msea.2021.141953 Modeling of cutting forces in trochoidal milling with respect to wear-dependent topographic changes J. A. Bergmann, N. Potthoff, T. Rickhoff and P. Wiederkehr Production Engineering - Research and Development (2021) DOI: 10.1007/s11740-021-01060-4 Investigation of the effect of residual stresses in the subsurface on process forces for consecutive orthogonal cuts F. Wöste, J. Kimm, J. A. Bergmann, W. Theisen and P. Wiederkehr Production Engineering - Research and Development (2021) DOI: 10.1007/s11740-021-01058-y Modeling of the Split-Hopkinson-Pressure-Bar experiment with the explicit material point method S. F. Maassen, R. Niekamp, J. A. Bergmann, F. Pöhl, J. Schröder and P. Wiederkehr Computational Particle Mechanics; April 2021 DOI: 10.1007/s40571-021-00399-w 2020 An approach to use sub-surface characteristics for the prediction of process forces during cutting operations J. A. Bergmann, J. Kimm, W. Theisen and P. Wiederkehr Procedia CIRP, 88 (2020): 276-281 DOI: 10.1016/j.procir.2020.05.048 Experimental setup for analyzing fundamentals of cutting processes using a modular system F. Wöste, J. Baumann, J. A. Bergmann, R. Garcia-Carballo and P. Wiederkehr Modern Machinery (MM) Science Journal, March 2020: 3754-3758 DOI: 10.17973/MMSJ.2020_03_2020004 2019 Analytical and Simulation-Based Prediction of Surface Roughness for Micromilling Hardened HSS A. Meijer, J. A. Bergmann, E. Krebs, D. Biermann and P. Wiederkehr Journal of Manufacturing and Materials Processing, 3 (2019) 3, p. 70 DOI: 10.3390/jmmp3030070 Trochoidal milling: investigation of dynamic stability and time domain simulation in an alternative path planning strategy F. A. Niaki, A. Pleta, L. Mears, N. Potthoff, J. A. Bergmann and P. Wiederkehr The International Journal of Advanced Manufacturing Technology (2018): 1-16 DOI: 10.1007/s00170-018-03280-y 2018 An interdisciplinary view on the formulation of a process force model for milling processes J. Kimm, J. A. Bergmann, S. Kugai, J. Schröder, W. Theisen and P. Wiederkehr Materials Chain International Conference 2018 Deformation behaviour and chip formation processes of tempering steel under high-speed deformation and high temperature: a microstructural analysis J. Kimm, J. A. Bergmann, S. Kugai, F. Pöhl, P. Wiederkehr and W. Theisen Sino-German Summer School 2018 (chinesich-deutsches Zentrum für Wissenschaftsförderung) An integrated macroscopic model for simulating SLM and milling processes P. Wiederkehr and J. A. Bergmann Production Engineering. Research and Development 12(2018) 3 DOI: 10.1007/s11740-018-0822-3 2017 Stochastische Modellierung von Kornverteilungen beim Microfinishen mit deterministischen Finishbändern T. Siebrecht, M. Tilger, T. T. Dereli, M. Kipp, F. Finkeldey, J. A. Bergmann, S. Schumann, D. Biermann and P. Wiederkehr 4. Fachtagung "Sensitive Fertigungstechnik", Magdeburg, H. Goldau (Hrsg), R. Stolze (Hrsg), Shaker Verlag, ISBN 978-3-8440-6397-4, (2017), 167–174 Makroskopische Simulation generativer Fertigungsverfahren am Beispiel des Selective Laser Melting Master Thesis Interne Berichte TU Dortmund, Fakultät Informatik, 2017 2015 Modeling of Surface Location Errors in a Multi-scale Milling Simulation System Using a Tool Model Based on Triangle Meshes T. Siebrecht, P. Kersting, D. Biermann, S. Odendahl and J. Bergmann Procedia CIRP, 37 (2015), S. 188-192 DOI: 10.1016/j.procir.2015.08.064 …