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Department of Computer Science
Virtual Machining

Jim A. Bergmann, M.Sc.


(+49) 231 755-2412

Otto-Hahn-Str. 12, R. 2022

TU Dortmund University
Fakultät für Informatik – Virtual Machining
Otto-Hahn-Straße 12
44227 Dortmund

Bild Jim A. Bergmann © 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

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



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)


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

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

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)


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


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

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)

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


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


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


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


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


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