Suppression of Regenerative Chatter in High Speed End-Milling Process using Adaptive Control of Spindle Speed

2017 ◽  
Vol 2017.9 (0) ◽  
pp. 140
Author(s):  
Eiji KONDO ◽  
Nguyen Tuan KHA ◽  
Daisuke TABUCHI
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
End Milling ◽  
Milling Process ◽  
Spindle Speed ◽  
Regenerative Chatter ◽  
End Milling Process

Simulation and Experiments of High Speed Machining Vibration Monitoring with Variable Spindle Velocity

2010 ◽  
Vol 164 ◽  
pp. 285-290 ◽  
Author(s):  
Krzysztof J. Kaliński ◽  
Marek A. Galewski
Keyword(s):  
High Speed ◽  
End Milling ◽  
Milling Process ◽  
Spindle Speed ◽  
Vibration Monitoring ◽  
Linear Control ◽  
Milling Machines ◽  
Optimal Linear ◽  
Controlled Structure ◽  
End Milling Process

The paper is devoted to vibration monitoring of rotating tools in modern milling machines. Dynamic analysis of slender ball-end milling process was performed and dynamics of the controlled structure was described. Instantaneous change in the spindle speed is applied in order to reduce vibration level. The method of vibration monitoring by means of spindle speed optimal-linear control was developed and implemented with success. Vibration monitoring during high speed milling was performed on the basis of results of computer simulation. These results were verified during experimental investigation on the Alcera Gambin 120CR milling machine.

An Investigation of the End Milling Process Under Varying Machining Conditions

1989 ◽  
Vol 111 (1) ◽  
pp. 27-36 ◽  
Author(s):  
B. K. Fussell ◽  
K. Srinivasan
Keyword(s):  
Adaptive Control ◽  
Feedback Loop ◽  
End Milling ◽  
Milling Process ◽  
Operating Conditions ◽  
Machining Conditions ◽  
Adaptive Control Systems ◽  
Proper Design ◽  
Process Mechanics ◽  
End Milling Process

Varying machining conditions are encountered in adaptively controlled machining situations where operating conditions such as the feedrate and spindle speed are adjusted continuously to achieve desired objectives. Proper design, of constraint-type adaptive control systems in particular, requires models of the milling process mechanics since the milling process is usually part of the feedback loop. The adequacy of available models of milling process mechanics is evaluated here experimentally for many cases of varying machining conditions, including changing axial and radial depths of cut and feedrate. Startup transients in the force as the cutter engages the workpiece are also investigated. The significance of dynamic effects in the milling process and of effects such as runout, for constraint-type adaptive control system design, is then evaluated.

Predictive Model of Surface Roughness in High-Speed End Milling Process by Factorial Design of Experiments

2007 ◽  
Vol 339 ◽  
pp. 189-194
Author(s):  
Su Yu Wang ◽  
Xing Ai ◽  
Jun Zhao
Keyword(s):  
Surface Roughness ◽  
Design Of Experiments ◽  
Factorial Design ◽  
High Speed ◽  
End Milling ◽  
Milling Process ◽  
Regression Coefficients ◽  
Milling Parameters ◽  
Factorial Design Of Experiments ◽  
End Milling Process

Predictive models are presented for the surface roughness in high-speed end milling of 0.45%C steel and P20 die-mould steel based on statistical test and multiple-regression analysis. The data for establishing model is derived from experiments conducted on a high-speed machining centre by factorial design of experiments. The significances of the regression equation and regression coefficients are tested in this paper. The effects of milling parameters on surface roughness are investigated by analyzing the experimental curves.

Simulation of End Milling for Weak-Rigidity Structural Parts of Aluminium Alloy in Aviation

2011 ◽  
Vol 201-203 ◽  
pp. 332-336
Author(s):  
Chun Lin Fu ◽  
Cong Kang Wang ◽  
Tie Gang Li ◽  
Wan Shan Wang
Keyword(s):  
High Speed ◽  
End Milling ◽  
Element Model ◽  
Milling Process ◽  
Milling Force ◽  
Drilling Tool ◽  
Structural Parts ◽  
Aluminum Alloy 7075 ◽  
End Milling Process ◽  
Lower Material

To resolve the problem of the parts deformation because of the milling force, a finite element model (FEM) of end milling process simulation in milling force field was established. On the base of FEM, we simulate the high-speed end milling type structure of aluminum alloy 7075 parts. We successfully predict the end milling force, obtain the effect between the upper and lower material to the milling force, and Mises stress and the tool length beyond the part.The simulation results show that the lower material can increase the milling force to upper, and upper material can decrease milling force to lower layer.The drilling tool length beyond the part is about 0.5 mm .

scholarly journals Optimization of Cutting Parameters for Milling Process of (4032) Al-Alloy using Taguchi-Based Grey Relational Analysis

2021 ◽  
Vol 17 (3) ◽  
pp. 1-12
Author(s):  
Sami Abbas Hammood
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
End Milling ◽  
Cutting Parameters ◽  
Milling Process ◽  
Spindle Speed ◽  
Al Alloy ◽  
Relational Analysis ◽  
Grey Relational ◽  
End Milling Process

The objective of this work is to study the influence of end milling cutting process parameters, tool material and geometry on multi-response outputs for 4032 Al-alloy. This can be done by proposing an approach that combines Taguchi method with grey relational analysis. Three cutting parameters have been selected (spindle speed, feed rate and cut depth) with three levels for each parameter. Three tools with different materials and geometry have been also used to design the experimental tests and runs based on matrix L9. The end milling process with several output characteristics is solved using a grey relational analysis. The results of analysis of variance (ANOVA) showed that the major influencing parameters on multi-objective response were spindle speed and cutting tool with contribution percentage (52.75%, 24%), respectively. In addition, the optimum combination of end milling process parameters was then validated by performing confirmation tests to determine the improvement in multi-response outputs. The confirmation tests obtained a minimum (surface roughness and micro-hardness) and maximum metal removal rate with grey relational grade of 0.784 and improvement percentage of 2.3%.

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