Estmation of the Pose-Dependent Stability Lobe Diagram for a new 5-axis Machining Concept. Proceedings of the The International Conference Management of Technology – Step to Sustainable Production (MOTSP 2016), Porec, Croatia, 2016. [PUMA: 5-axis Finite Pose-dependent analysis concept element machining myown process stability xfh xlr xvl]
On-line learning artificial neural networks for stability classification of milling processes. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Institute of Electrical and Electronics Engineers (IEEE), July 2016. [PUMA: Covariance Kalman Milling Neurons Stability Training criteria filters matrices xfh xlr xvl] URL
Determining the width and depths of cut in milling on the basis of a multi-dexel model. International Journal of Mechanical, Aerospace, Induastrial, Mechatronic and Manufacturing Engineering, (9)10:1981-1986, 2015. [PUMA: Abtragssimulation isw material milling process removal simulation stability xfh xlr xvl] URL
Estimation of stability lobe diagrams in milling with continuous learning algorithms. Robotics and Computer-Integrated Manufacturing, -, 2015. [PUMA: Learning Milling Neural Process Support algorithms machines myown network stability vector xfh xlr xvl] URL
Adaptive spindle speed variation to improve process stability. Proceedings of the 22nd International Conference on Production Research, --, 2013. [PUMA: ISW Process chatter control myown online speed spindle stability variation xfh xvl]
In-process Control for Adaptive Spindle Speed Variation and Selection. Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013, 117-126, 2013. [PUMA: ISW chatter control milling myown process speed spindle stability variation xfh xvl] URL