Estmation of the Pose-Dependent Stability Lobe Diagram for a new 5-axis Machining Concept. International Journal of Engineering - ANNALS of Faculty Engineering Hunedoar, (15)2:99-104, Mai 2017. [PUMA: milling myown xfh xlr xvl] URL
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), Juli 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
Continuous learning support vector machine to estimate stability lobe diagrams in milling. Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, University of Texas at San Antonio, 2014. [PUMA: Learning Milling Process Support algorithm isw machines myown stbaility vector xfh xlr xvl] URL
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