Specialised Engineering Seminar: Modeling the Mechanics and Dynamics of Metal Cutting for Virtual Machining

Keivan Ahmadi, Post Doctoral Fellow, Manufacturing Automation Laboratory, The University of British Columbia, Vancouver, Canada

2014.03.27 | Anja Torup Hansen

Date Mon 31 Mar
Time 14:45 16:00
Location Room 510, Dalgas Avenue 2, 8000 Aarhus C

The common practice in designing machining processes is usually based on previous experiences and some limited recommendations from the tool manufacturers. The geometry of the part and the toolpath to manufacture it are designed in CAD and CAM environments, respectively. The cutting parameters such as depth of cut, spindle speed and feedrate are determined mostly based on costly trial and errors. Virtual Machining systems help to eliminate the trials and to achieve a shorter production cycle by simulating and optimizing the machining processes in computer environment. The simulation is performed based on solutions from different disciplines such as solid mechanics, dynamics, Mechatronics, heat transfer and computer graphics.

In this presentation the recent research efforts towards modeling the mechanics and dynamics of metal cutting at the Manufacturing Automation Laboratory (MAL) of the University of British Columbia, Canada, will be presented. The presentation includes various topics such as modeling of 5-axis flank milling of curved surfaces, modeling the process damping in machining of hard to cut materials, generalized model of drilling dynamics and automated chatter detection and avoidance systems. Also integrating the results of research projects in a Virtual Machining system developed at MAL, which is currently being used by manufacturing companies worldwide, will be discussed.


Keivan Ahmadi received his PhD in Mechanical and Mechatronics Engineering from the University of Waterloo, Canada, in 2011. Currently he is with the Manufacturing Automation Laboratory (MAL) of the University of British Columbia, Canada. His research focuses on mechanical vibrations and modeling of machining processes, in particular High Performance Machining, chatter prediction and avoidance and low speed machining of hard to cut materials. At MAL he also has been contributing to developing Virtual Machining software, MachPro, and machining simulation software, CutPro.

Seminar, Department of Engineering