| Identification of in-process machine tool dynamics using forced vibrations in milling process VOA Akbari, Y Mohammadi, M Kuffa, K Wegener International Journal of Mechanical Sciences 239, 107887, 2023 | 17 | 2023 |
| Improving stability predictions in milling by incorporation of toolholder sound emissions VOA Akbari, M Postel, M Kuffa, K Wegener CIRP Journal of Manufacturing Science and Technology 37, 359-369, 2022 | 9 | 2022 |
| Operator integrated–concept for manufacturing intelligence K Wegener, S Weikert, J Mayr, M Maier, VO Ali Akbari, M Postel Journal of Machine Engineering 21, 2021 | 8 | 2021 |
| Substructure analysis of vibration-assisted drilling systems V Ostad Ali Akbari, K Ahmadi The International Journal of Advanced Manufacturing Technology 113, 2833-2848, 2021 | 7 | 2021 |
| Physics-informed Bayesian machine learning for probabilistic inference and refinement of milling stability predictions VOA Akbari, M Kuffa, K Wegener CIRP Journal of Manufacturing Science and Technology 45, 225-239, 2023 | 3 | 2023 |
| Modelling the dynamics of vibration assisted drilling systems using substructure analysis V Ostad Ali Akbari | 1 | 2020 |
| A mechatronic approach for real-time process control to achieve a uniform bead shape of robotic welding V OstadAliAkbari, R Fesharakifard, SM Rezaei 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM …, 2017 | 1 | 2017 |
| Automated machine tool dynamics identification for predicting milling stability charts in industrial applications V Ostad Ali Akbari, C Schuppisser, M Kuffa, K Wegener The International Journal of Advanced Manufacturing Technology, 1-15, 2024 | | 2024 |
| Grinding Wheel Condition Monitoring using Acoustic Airborne Signals and Machine Learning A Gharaei, T Wahl, V Ostad Ali Akbari, M Kuffa, K Wegener 19th International Conference on Precision Engineering (ICPE 2022), C270, 2022 | | 2022 |
Martin PostelResearch assistant, ETH ZurichVerified email at iwf.mavt.ethz.ch
