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On the bistable zone of milling processes
Zoltan Dombovari1, Gabor Stepan2
1Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest 1521, Hungary Dynamics and Control Department, Ideko-IK4, Danobat Group, 20870 Elgoibar, Gipuzkoa, Spain dombovari@mm.bme.hu.
Summary
This study introduces a milling tool model predicting unsafe zones where chatter may occur. A new method identifies these zones, aiding in designing stable milling processes.
Area of Science:
- Mechanical Engineering
- Nonlinear Dynamics
- Manufacturing Processes
Background:
- Milling processes are susceptible to chatter, a vibration phenomenon that degrades surface quality and tool life.
- Bistability in milling systems, characterized by 'unsafe zones,' can lead to unexpected transitions from stable to unstable cutting conditions.
- Understanding the complex dynamics, including unstable quasi-periodic solutions and secondary Hopf bifurcations, is crucial for predicting and preventing chatter.
Purpose of the Study:
- To develop a modal-based model for milling machine tools under time-periodic nonlinear cutting forces.
- To identify and characterize the 'unsafe zones' of bistability in milling parameters.
- To provide a method for predicting chatter occurrence even within linearly stable parameter domains.
Main Methods:
- A modal-based model was developed to represent milling tool dynamics.
- A semi-numerical method was employed to track tool edge motion and identify bistable zone boundaries.
- The method involves tracking unstable quasi-periodic solutions and their proximity to a switching surface in phase space.
Main Results:
- The model successfully describes bistability, leading to 'unsafe zones' where chatter can be induced by perturbations.
- The semi-numerical method effectively identifies the borders of these bistable zones.
- The approach allows for the estimation of parameter domains where chatter may still occur despite linear stability.
Conclusions:
- The developed model and method offer efficient support for designing milling processes with improved chatter prediction.
- This work aids engineers in avoiding undesirable chatter by identifying critical parameter domains.
- The findings contribute to enhancing the stability and reliability of milling operations.
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