| Virtual process systems for part machining operations Y Altintas, P Kersting, D Biermann, E Budak, B Denkena, I Lazoglu Cirp Annals 63 (2), 585-605, 2014 | 509 | 2014 |
| A general approach to simulating workpiece vibrations during five-axis milling of turbine blades D Biermann, P Kersting, T Surmann CIRP annals 59 (1), 125-128, 2010 | 179 | 2010 |
| Self-optimizing machining systems HC Möhring, P Wiederkehr, K Erkorkmaz, Y Kakinuma CIRP Annals 69 (2), 740-763, 2020 | 117 | 2020 |
| Intelligent fixtures for high performance machining HC Möhring, P Wiederkehr Procedia Cirp 46, 383-390, 2016 | 83 | 2016 |
| Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data F Finkeldey, J Volke, JC Zarges, HP Heim, P Wiederkehr Journal of Manufacturing Processes 60, 134-143, 2020 | 52 | 2020 |
| Modeling regenerative workpiece vibrations in five-axis milling K Weinert, P Kersting, T Surmann, D Biermann Production Engineering 2, 255-260, 2008 | 52 | 2008 |
| Virtual machining: capabilities and challenges of process simulations in the aerospace industry P Wiederkehr, T Siebrecht Procedia Manufacturing 6, 80-87, 2016 | 49 | 2016 |
| Optimizing NC-tool paths for simultaneous five-axis milling based on multi-population multi-objective evolutionary algorithms P Kersting, A Zabel Advances in Engineering Software 40 (6), 452-463, 2009 | 49 | 2009 |
| A testpart for interdisciplinary analyses in micro production engineering HC Möhring, P Kersting, S Carmignato, JA Yagüe-Fabra, M Maestro, ... Procedia CIRP 28, 106-112, 2015 | 47 | 2015 |
| Modeling techniques for simulating workpiece deflections in NC milling P Kersting, D Biermann CIRP Journal of Manufacturing Science and Technology 7 (1), 48-54, 2014 | 47 | 2014 |
| Experimental and numerical analysis of tribological effective surfaces for forming tools in Sheet-Bulk Metal Forming P Kersting, D Gröbel, M Merklein, P Sieczkarek, S Wernicke, AE Tekkaya, ... Production Engineering 10, 37-50, 2016 | 43 | 2016 |
| Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data F Finkeldey, A Saadallah, P Wiederkehr, K Morik Engineering Applications of Artificial Intelligence 94, 103753, 2020 | 40 | 2020 |
| Stability prediction in milling processes using a simulation-based Machine Learning approach A Saadallah, F Finkeldey, K Morik, P Wiederkehr Procedia CIRP 72, 1493-1498, 2018 | 40 | 2018 |
| Simulation concept for predicting workpiece vibrations in five-axis milling P Kersting, D Biermann Machining Science and Technology 13 (2), 196-209, 2009 | 40 | 2009 |
| Wear behavior of bio-inspired and technologically structured HVOF sprayed NiCrBSiFe coatings W Tillmann, L Hagen, D Stangier, IA Laemmerhirt, D Biermann, P Kersting, ... Surface and Coatings Technology 280, 16-26, 2015 | 39 | 2015 |
| Stochastic modeling of grain wear in geometric physically-based grinding simulations P Wiederkehr, T Siebrecht, N Potthoff CIRP Annals 67 (1), 325-328, 2018 | 38 | 2018 |
| Wear behavior of tribologically optimized tool surfaces for incremental forming processes P Sieczkarek, S Wernicke, S Gies, AE Tekkaya, E Krebs, P Wiederkehr, ... Tribology International 104, 64-72, 2016 | 35 | 2016 |
| High-feed milling of tailored surfaces for sheet-bulk metal forming tools R Hense, C Wels, P Kersting, U Vierzigmann, M Löffler, D Biermann, ... Production Engineering 9, 215-223, 2015 | 35 | 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, J Bergmann Procedia CIRP 37, 188-192, 2015 | 35 | 2015 |
| Simulation-based prediction of process forces for grinding free-formed surfaces on machining centers S Rausch, S Odendahl, P Kersting, D Biermann, A Zabel Procedia CIRP 4, 161-165, 2012 | 34 | 2012 |
