Abstract:

Due to its poor rigidity， aluminum alloy thin-walled parts are easily affected by the spindle speed， axial cutting depth， feed speed and radial cutting depth， resulting in chatter in the milling process. In order to solve this problem， an active flutter suppression method for milling aluminum alloy thin-walled parts was designed. The milling dynamics model based on cylindrical spiral end milling cutter was established， the cutting force changes in x and y directions were analyzed， and the mechanical trajectories of cutter teeth during cutting were calculated. The wavelet neural network proportional integral derivative control algorithm was used to realize the active suppression of the chatter in milling parts. The experimental results show that the method can achieve stable milling under high tool speed and axial cutting depth， and the cutting force after inhibition is very consistent with the optimal cutting force， and the vibration range after inhibition is controlled between -5 μm and 5 μm， which can reduce the deformation and damage in the processing， thereby improving the production efficiency and product life.

Key words: machining, aluminum alloy, thin-wall parts, milling processing, active flutter suppression, operational mechanical trajectory