Chatter prediction for the peripheral milling of thin-walled workpieces with curved surfaces

Yang, Yun; Zhang, Weihong; Ma, Yingchao; Wan, Min

doi:10.1016/j.ijmachtools.2016.07.002

Cited by 149 publications

(62 citation statements)

References 31 publications

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“…A new dynamic model of tool and workpiece system is proposed to consider the dynamic behaviour of tool and workpiece as well as the influences of engagement and tool feed direction. The numerical and experimental results demonstrate that chatter can be accurately predicted for the peripheral milling of a thin-walled workpiece [23]. The milling process of EN AW-6061-T6 alloy was performed by a cutter with a varying angle of helix inclination.…”

Section: The State Of Knowledgementioning

confidence: 92%

“…The results demonstrate that under unstable conditions the amplitude of vibration increases even by 5 times, which affects the surface quality after machining. Stability analyses are often performed for thin-walled parts made of aluminium alloys such as EN AW-7075 T6 [17,22], EN AW-2024-T351 [2] and EN AW-6061-T6 [23,24]. The works [17,18] investigate acceleration and cutting force components to determine the stability limit for parts with a varying (decreasing) thickness of the wall.…”

Section: The State Of Knowledgementioning

confidence: 99%

See 1 more Smart Citation

Artificial Neural Network Modelling of Vibration in the Milling of AZ91D Alloy

Zagórski¹,

Kulisz²,

Semeniuk³

et al. 2017

Adv. Sci. Technol. Res. J.

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The paper reports the results of artificial neural network modelling of vibration in a milling process of magnesium alloy AZ91D by a TiAlN-coated carbide tool. Vibrations in machining processes are regarded as an additional, absolute machinability index. The modelling was performed using the so-called "black box" model. The best fit was determined for the input and output data obtained from the machining process. The simulations were performed by the Statistica software using two types of neural networks: RBF (Radial Basis Function) and MLP (Multi-Layered Perceptron).

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Section: The State Of Knowledgementioning

confidence: 92%

Section: The State Of Knowledgementioning

confidence: 99%

Artificial Neural Network Modelling of Vibration in the Milling of AZ91D Alloy

Zagórski¹,

Kulisz²,

Semeniuk³

et al. 2017

Adv. Sci. Technol. Res. J.

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show abstract

“…3b. If the nominal cutting velocity is used for reference as in standard models [21][22][23][24][25][26], then the chip thickness can be given as the projection of the feed vector to the nominal radial directioñ r j (t) as [20] …”

Section: Chip Thickness Expressionmentioning

confidence: 99%

“…The time-periodic damping is a new term compared to standard milling models [21][22][23][24][25][26]. By omitting this term, Eq.…”

Section: Linearized Equation Of Motionmentioning

confidence: 99%

Extension of process damping to milling with low radial immersion

Molnár

Insperger

Bachrathy

et al. 2016

Int J Adv Manuf Technol

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This paper investigates the stabilizing effect of process damping at low cutting speeds for regenerative machine tool vibrations of milling processes. The process damping is induced by a velocity-dependent cutting force model, which takes into account that the actual cutting velocity is different from the nominal one during machine tool vibrations. The chip thickness and the cutting force are calculated according to the direction of the actual cutting velocity. This results in an additional damping term in the governing delaydifferential equation, which is time-periodic for milling and inversely proportional to the cutting speed. In the literature, this term is often assumed to be constant and is considered to improve stability properties at low spindle speeds. In this paper, it is shown that the velocitydependent cutting force model captures the improvement in the low-speed stability only for turning operations and milling with large radial immersion, while it results in a negative process damping term for lowThis work has been supported by theÚNKP-16-3-I. New National Excellence Program of the Ministry of Human Capacities. This work was supported by the Hungarian National Science Foundation under grant OTKA-K105433. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007(FP/ -2013

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“…Then, milling dynamics and stability characteristics are also changing along tool path. Yang presented a method to predict chatter for the peripheral milling of thin-walled workpieces with curved surfaces [15]. In the paper, the milling force coefficients are simplified as constants.…”

Section: Introductionmentioning

confidence: 99%

Location‐Dependent Prediction of Dynamic Stability Limit for Peripheral Milling of Surfaces with Variable Curvatures

Wang

Huang

Wang

et al. 2018

Shock and Vibration

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The stability limit may change with the cutter's location due to effect of curvature during the milling of a complex surface. The method for calculating the actual radial cutting depth is presented by accounting for the effects of curvature on the actual cutting parameters. The computed radial cutting depth is in turn used to determine the entrance/exit angles. Moreover, a milling system dynamic model is established based on the instantaneous milling force coefficients, and the stability limit is determined by means of the time-domain semidiscretization method. In addition, a location-dependent method for predicting the stability associated with the peripheral milling of a complex surface is put forward and simulation is carried out to generate a stability limit diagram. The effectiveness of the proposed method is verified through milling tests.

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Chatter prediction for the peripheral milling of thin-walled workpieces with curved surfaces

Cited by 149 publications

References 31 publications

Artificial Neural Network Modelling of Vibration in the Milling of AZ91D Alloy

Artificial Neural Network Modelling of Vibration in the Milling of AZ91D Alloy

Extension of process damping to milling with low radial immersion

Location‐Dependent Prediction of Dynamic Stability Limit for Peripheral Milling of Surfaces with Variable Curvatures

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