scholarly journals Chatter suppression in the milling process of the weakly-rigid workpiece through a moving fixture

2021 ◽  
pp. 117293
Author(s):  
Min Wan ◽  
Xue-Bin Dang ◽  
Wei-Hong Zhang ◽  
Yun Yang
Keyword(s):  
Milling Process ◽  
Chatter Suppression

Active Chatter Suppression in Low Immersion Intermittent Milling Process

2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Le Cao ◽  
Tao Huang ◽  
Da-Ming Shi ◽  
Xiao-Ming Zhang ◽  
Han Ding
Keyword(s):  
Period Doubling ◽  
Milling Process ◽  
Period Doubling Bifurcation ◽  
First Order ◽  
Chatter Suppression ◽  
Stability And Stabilization ◽  
Piecewise Model ◽  
Full Immersion ◽  
The Stability ◽  
Time Invariant

Abstract Chatter in low immersion milling behaves differently from that in full immersion milling, mainly because of the non-negligible time-variant dynamics and the occurrence of period doubling bifurcation. The intermittent and time-variant characteristics make the active chatter suppression based on Lyaponov theorem a non-trivial problem. The main challenges lie in how to deal with the time-variant directional coefficient and how to construct a suitable Lyaponov function so as to alleviate the conservation, as well as the saturation of the controller. Generally, the Lyaponov stability of time-invariant dynamics is more tractable. Hence, in our paper, a first-order piecewise model is proposed to approximate the low immersion milling system as two time-invariant sub-ones that are cyclically switched. To alleviate the conservation, a novel piecewise Lyaponov function is constructed to determine the stability of each subsystem independently. The inequality conditions for determining the stability and stabilization are derived. The validity of the proposed stabilization algorithm to suppress both the hopf and period doubling bifurcation, as well as to reduce the conservation of the controller parameters have been verified.

scholarly journals Design of eddy current dampers for vibration suppression in robotic milling

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881407 ◽  
Author(s):  
Fan Chen ◽  
Huan Zhao
Keyword(s):  
Eddy Current ◽  
Vibration Suppression ◽  
Milling Process ◽  
Magnetic Flux Density ◽  
Depth Of Cut ◽  
Chatter Suppression ◽  
Robotic Milling ◽  
Eddy Current Damper ◽  
Damper Design ◽  
Milling Robot

The milling robot normally has a low stiffness which may easily cause chatter during machining. This article presents a novel eddy current damper design for chatter suppression in the robotic milling process. The designed eddy current dampers are installed on the milling spindle to damp the tool tip vibrations. The structural design and the working principle of the eddy current dampers are explained. The magnetic flux density distribution and the magnetic force generation of the designed eddy current damper are analyzed with the finite element method. The tool tip dynamics without and with eddy current dampers are modeled, and the damping performance of the proposed eddy current dampers in the robotic milling process is verified through both simulations and experiments. The results show that the peaks of the tool tip frequency response function caused by the milling tool modes are damped significantly, and the stable depth of cut is improved greatly with eddy current dampers.

scholarly journals Model Predictive Control Based Chatter Suppression in Milling Process via Piezoelectric Stack Actuators

Procedia CIRP ◽  
2018 ◽  
Vol 78 ◽  
pp. 31-36 ◽  
Author(s):  
Denghui Li ◽  
Hongrui Cao ◽  
Fei Shi ◽  
Xingwu Zhang ◽  
Xuefeng Chen
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Milling Process ◽  
Chatter Suppression

scholarly journals Time-Delay LPV System Control and Its Application in Chatter Suppression of the Milling Process

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Dazhong Wang ◽  
Shujing Wu ◽  
Lei Wan
Keyword(s):  
Time Delay ◽  
Milling Process ◽  
System Control ◽  
State Control ◽  
Chatter Suppression ◽  
Model Following Control ◽  
Model Following ◽  
Internal States ◽  
Lpv System ◽  
Control Methodology

This paper proposed a methodology for the control of model following control system (MFCS) approach to time-delay linear parameter-varying (LPV) system. The method incorporates a state control law which makes the output error zero, the bounded property of the internal states for the control is given, and the utility of this control design is guaranteed. Numerical example is given to demonstrate the effectiveness and less conservativeness of the proposed methods. The proposed control methodology is demonstrated on chatter suppression in the milling process.

Stability improvement and regenerative chatter suppression in nonlinear milling process via tunable vibration absorber

2012 ◽  
Vol 331 (21) ◽  
pp. 4668-4690 ◽  
Author(s):  
Hamed Moradi ◽  
Firooz Bakhtiari-Nejad ◽  
Mohammad R. Movahhedy ◽  
Gholamreza Vossoughi
Keyword(s):  
Milling Process ◽  
Vibration Absorber ◽  
Regenerative Chatter ◽  
Chatter Suppression

Active Control of an Active Magnetic Bearings Supported Spindle for Chatter Suppression in Milling Process

2015 ◽  
Vol 137 (11) ◽  
Author(s):  
Tao Huang ◽  
Zhiyong Chen ◽  
Hai-Tao Zhang ◽  
Han Ding
Keyword(s):  
Integrated Control ◽  
Magnetic Bearing ◽  
Milling Process ◽  
Active Magnetic Bearing ◽  
Machining Process ◽  
Maintenance Cost ◽  
Machining Parameters ◽  
Operating Life ◽  
Chatter Suppression ◽  
The Stability

In machining process, chatter is an unstable dynamic phenomenon which causes overcut and quick tool wear, etc. To avoid chatter, traditional methods aim to optimize machining parameters. But they have inherent disadvantage in gaining highly efficient machining. Active magnetic bearing (AMB) is a promising technology for machining on account of low wear and friction, low maintenance cost, and long operating life. The control currents applied to AMBs allow not only to stabilize the supported spindle but also to actively suppress chatter in milling process. This paper, for the first time, studies an integrated control scheme for stability of milling process with a spindle supported by AMBs. First, to eliminate the vibration of an unloaded spindle rotor during acceleration/deceleration, we present an optimal controller with proper compensation for speed variation. Next, the controller is further enhanced by adding an adaptive algorithm based on Fourier series analysis to actively suppress chatter in milling process. Finally, numerical simulations show that the stability lobe diagram (SLD) boundary can be significantly expanded. Also, a practical issue of constraints on controller output is discussed.

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