A simulated investigation on the machining instability and dynamic surface generation

Luo, Xichun; Cheng, Kai; Luo, Xichun; Liu, X.W.

doi:10.1007/s00170-004-2057-z

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Thus, in order to understand the machine tool dynamics and influence of cutting parameters on chatter, various mathematical models have been developed. In this regard, a comprehensive study has been done by Luo et al [2]. In their work, they proposed a novel modelling approach and simulation * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

A novel ensemble method based on the SBLMD-ANN-MOPSO approach for predicting milling stability regimes

Mishra

Singh

2022

Meas. Sci. Technol.

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In recent decades, lots of work has been done to mitigate self excited vibration effects in milling operations. Still, a robust methodology is yet to be developed that can suggest stability bounds pertaining to higher metal removal rate (MRR). In the present work, experimentally acquired acoustic signals in milling operation have been computed using a modified Local Mean Decomposition (SBLMD) technique in order to cite tool chatter features. Further, three artificial neural network (ANN) training algorithms viz. Resilient Propagation (RP), Conjugate Gradient-Based (CGP) and Levenberg-Marquardt Algorithm (LM) and two activation functions viz. Hyperbolic Tangent Sigmoid (TANSIG) and Log Sigmoid (LOGSIG) has been used to train the acquired chatter vibration and metal removal rate data set. Over-fitting or under-fitting issues may arise from the random selection of a number of hidden neurons. The solution to these problems is also proposed in this paper. Among these training algorithms and activation functions, a suitable one has been selected and further invoked to develop prediction models of chatter severity and metal removal rate. Finally, Multi-Objective Particle Swarm Optimization (MOPSO) has been invoked to optimize developed prediction models for obtaining the most favourable range of input parameters pertaining to stable milling with higher productivity.

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Section: Introductionmentioning

confidence: 99%

A novel ensemble method based on the SBLMD-ANN-MOPSO approach for predicting milling stability regimes

Mishra

Singh

2022

Meas. Sci. Technol.

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“…To overcome the chatter problem of metal materials, many scholars [1][2][3][4][5][6][7][8][9][10][11][12][13] have conducted studies and found that chatter is often generated by three factors, i.e., ripple regeneration, mode coupling, and friction. In the study of ripple regeneration (which is caused by surface ripples), Luo et al [14] adopted a hybrid digital method to solve the problem of surface ripple regeneration. Altintas and Weck [15] studied the stability of regenerative chatter during metal cutting.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Vibration and Chatter Stability of a Tapered Composite Boring Bar

Zhang

Ren

et al. 2020

Shock and Vibration

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As metal boring bars have low dynamic stiffness, chatter is easily induced during the boring process. Therefore, improvement of the chatter stability is an open problem that requires further study. Though researchers proved that the composite materials suitable for making tapered boring bars can further improve the dynamic stiffness to meet the need of high-speed boring, existing research studies did not study the dynamic characteristics of the tapered composite boring bar comprehensively. In particular, no research has been done about the natural frequency and chatter stability of the composite boring bar under various taper ratios. Therefore, in this paper, a model of a tapered composite boring bar is established based on the Adomian modified decomposition method (AMDM). Second, this paper verifies the effectiveness of the AMDM by using the ANSYS software. Moreover, this paper studies the natural frequency of the boring bar model under various situations. Third, we verify the convergence of chatter stability of the boring bar model. Finally, the chatter stability of the tapered composite boring bar is analyzed comprehensively. The results show that the natural frequency and the chatter stability of the tapered model can be improved by choosing appropriate taper ratio, ply angle, stacking sequences, L/D ratio, T/D ratio, and the carbon composite. The results are helpful for the design of high-quality tapered composite boring bars matching the need of high speed cutting. In particular, these results can provide guidelines for adjusting the cutting speed in CNC boring and can further improve the surface finish of the machined workpieces.

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“…For decades, surface generation modeling and experiment under the influence of related factors attracts lots of attention [7][8][9][10][11]. In ultra-precision flycutting, the machined surface is also affected by the above mentioned factors, and many related researches can be found.…”

Section: Introductionmentioning

confidence: 99%

Influence of ultra-precision flycutting spindle error on surface frequency domain error formation

Chen

Sun

Zhang

et al. 2016

Int J Adv Manuf Technol

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The frequency domain error of the machined surface in the ultra-precision machining attracts more attention for its strong relationship with the functional requirements of the workpieces. As the key component of ultra-precision machine tool, the spindle error largely influences the machined surface errors. However, little attention has been paid to the influence of spindle error on the surface error formation mechanism in the frequency domain for ultra-precision flycutting. This paper deeply studies the influence of spindle error on the frequency domain error formation of machined surface in ultra-precision flycutting. The influence analysis of the spindle error is theoretically and experimentally carried out according to two different evaluation directions of the machined surface by flycutting, i.e., cutting direction and feed direction. The KDP crystal flycutting experiment is designed and conducted for the theoretical verification. The theoretical analysis has been found to agree well with the experimental results. This study is quite meaningful for deeply understanding the influence law of spindle error from the viewpoint of frequency domain. The research results are quite useful for the spindle error control, machined surface error prediction, machining process planning, and also show the potential use for the spindle (machine tool) design.

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A simulated investigation on the machining instability and dynamic surface generation

Cited by 10 publications

References 14 publications

A novel ensemble method based on the SBLMD-ANN-MOPSO approach for predicting milling stability regimes

A novel ensemble method based on the SBLMD-ANN-MOPSO approach for predicting milling stability regimes

Analysis of the Vibration and Chatter Stability of a Tapered Composite Boring Bar

Influence of ultra-precision flycutting spindle error on surface frequency domain error formation

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