A review of cutting chatter suppression methods

Hai-Yong Sun , Hong-Yu Jin , Jian-Xin Song , Zhen-Yu Han , Hong-Ya Fu

Advances in Manufacturing ›› : 1 -33.

PDF
Advances in Manufacturing ›› : 1 -33. DOI: 10.1007/s40436-025-00557-w
Article

A review of cutting chatter suppression methods

Author information +
History +
PDF

Abstract

Cutting chatter is a major factor that limits machining efficiency and can negatively impact the quality of a cutting surface. Chatter suppression is crucial for improving machining efficiency and maximizing business benefits. However, most chatter suppression techniques are difficult to use on a massive scale in actual production because of their high cost and limited applicability. In the investigation of chatter suppression, particularly in recent years, unique and effective suppression methods have been developed that must be summarized and arranged, and their advantages and disadvantages must be evaluated in depth. Therefore, this paper summarizes and systematically discusses recent research advancements in chatter suppression methods. Furthermore, future research directions for chatter suppression technologies are predicted.

Keywords

Regenerative chatter / Stability lobe diagram (SLD) / Cutting process / Suppression method

Cite this article

Download citation ▾
Hai-Yong Sun, Hong-Yu Jin, Jian-Xin Song, Zhen-Yu Han, Hong-Ya Fu. A review of cutting chatter suppression methods. Advances in Manufacturing 1-33 DOI:10.1007/s40436-025-00557-w

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

YueC, GaoH, LiuX, et al.. A review of chatter vibration research in milling. Chin J Aeronaut, 2019, 32(2): 215-242

[2]

MunoaJ, BeudaertX, DombovariZ, et al.. Chatter suppression techniques in metal cutting. CIRP Ann, 2016, 65(2): 785-808

[3]

ZhuL, LiuC. Recent progress of chatter prediction, detection and suppression in milling. Mech Syst Signal Process, 2020, 143, ArticleID: 106840

[4]

DongX, ShenX, FuZ. Stability analysis in turning with a variable spindle speed based on the reconstructed semi-discretization method. Int J Adv Manuf Technol, 2021, 117(11): 3393-3403

[5]

ZhangX, WangC, LiuJ, et al.. Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators. Mech Syst Signal Process, 2019, 120: 808-835

[6]

QuintanaG, CiuranaJ. Chatter in machining processes: a review. Int J Mach Tool Manuf, 2011, 51(5): 363-376

[7]

YangY, ZhangWH, MaYC, et al.. Chatter prediction for the peripheral milling of thin-walled workpieces with curved surfaces. Int J Mach Tool Manuf, 2016, 109: 36-48

[8]

YangY, ZhangWH, MaYC, et al.. An efficient decomposition-condensation method for chatter prediction in milling large-scale thin-walled structures. Mech Syst Signal Process, 2019, 121: 58-76

[9]

LiuYP, KilicZM, AltintasY. Monitoring of in-process force coefficients and tool wear. CIRP J Manuf Sci Technol, 2022, 38: 105-119

[10]

JiangS, ZhanD, LiuY, et al.. Modeling of variable-pitch/helix milling system considering axially varying dynamics with cutter runout offset and tilt effects. Mech Syst Signal Process, 2022, 168, ArticleID: 108674

[11]

LiuX, GaoH, YueC, et al.. Investigation of the milling stability based on modified variable cutting force coefficients. Int J Adv Manuf Technol, 2018, 96(9): 2991-3002

[12]

ChenX, ZhangZ, WangQ, et al.. A new method for prediction of cutting force considering the influence of machine tool system and tool wear. Int J Adv Manuf Technol, 2022, 120(3): 1843-1852

[13]

ShiKN, LiuN, LiuCL, et al.. Indirect approach for predicting cutting force coefficients and power consumption in milling process. Adv Manuf, 2022, 10(1): 101-113

[14]

YuG, WangL, WuJ. Prediction of chatter considering the effect of axial cutting depth on cutting force coefficients in end milling. Int J Adv Manuf Technol, 2018, 96(9): 3345-3354

[15]

WangG, PengD, QinX, et al.. An improved dynamic milling force coefficients identification method considering edge force. J Mech Sci Technol, 2012, 26(5): 1585-1590

[16]

OzturkE, OzkirimliO, GibbonsT, et al.. Prediction of effect of helix angle on cutting force coefficients for design of new tools. CIRP Ann, 2016, 65(1): 125-128

[17]

ZhuoY, HanZ, DuanJ, et al.. Estimation of vibration stability in milling of thin-walled parts using operational modal analysis. Int J Adv Manuf Technol, 2021, 115(4): 1259-1275

[18]

SchmitzTL, DonalsonR. Predicting high-speed machining dynamics by substructure analysis. CIRP Ann, 2000, 49(1): 303-308

[19]

AlbertelliP, GolettiM, MonnoM. A new receptance coupling substructure analysis methodology to improve chatter free cutting conditions prediction. Int J Mach Tool Manuf, 2013, 72: 16-24

[20]

JiY, BiQ, ZhangS, et al.. A new receptance coupling substructure analysis methodology to predict tool tip dynamics. Int J Mach Tool Manuf, 2018, 126: 18-26

[21]

YangY, WanM, MaYC, et al.. A new method using double distributed joint interface model for three-dimensional dynamics prediction of spindle-holder-tool system. Int J Adv Manuf Technol, 2018, 95(5): 2729-2745

[22]

PostelM, BugdayciB, WegenerK. Ensemble transfer learning for refining stability predictions in milling using experimental stability states. Int J Adv Manuf Technol, 2020, 107(9): 4123-4139

[23]

SchmitzT, CorneliusA, KarandikarJ, et al.. Receptance coupling substructure analysis and chatter frequency-informed machine learning for milling stability. CIRP Ann, 2022, 71(1): 361-364

[24]

StepanG, KissAK, GhalamchiB, et al.. Chatter avoidance in cutting highly flexible workpieces. CIRP Ann, 2017, 66(1): 377-380

[25]

WangX, SongQ, LiuZ. Dynamic model and stability prediction of thin-walled component milling with multi-modes coupling effect. J Mater Process Technol, 2021, 288, ArticleID: 116869

[26]

EynianM. In-process identification of modal parameters using dimensionless relationships in milling chatter. Int J Mach Tool Manuf, 2019, 143: 49-62

[27]

DangXB, WanM, YangY, et al.. Efficient prediction of varying dynamic characteristics in thin-wall milling using freedom and mode reduction methods. Int J Mech Sci, 2019, 150: 202-216

[28]

ZhenminLI, SongQ, JinP, et al.. Chatter suppression techniques in milling processes: a state of the art review. Chin J Aeronaut, 2023, 37(7): 1-23

[29]

OttoA, KhasawnehFA, RadonsG. Position-dependent stability analysis of turning with tool and workpiece compliance. Int J Adv Manuf Technol, 2015, 79: 1453-1463

[30]

Tian L, Wu J, Xiong Z et al (2015) Active chatter suppression in turning of low-rigidity workpiece by system matching. In: Proceedings of the 8th international conference on intelligent robotics and applications, ICIRA 2015, Springer. https://doi.org/10.1007/978-3-319-22876-1_53

[31]

LuK, GuF, LongstaffA, et al.. An investigation into tool dynamics adaptation for chatter stability enhancement in the turning of flexible workpieces. Int J Adv Manuf Technol, 2020, 111: 3259-3271

[32]

SunY, JiangS. Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts. Int J Mach Tool Manuf, 2018, 135: 38-52

[33]

LiW, WangL, YuG. Chatter prediction in flank milling of thin-walled parts considering force-induced deformation. Mech Syst Signal Process, 2022, 165, ArticleID: 108314

[34]

LiX, ZhaoW, LiL, et al.. Modeling and application of process damping in milling of thin-walled workpiece made of titanium alloy. Shock Vib, 2015, 2015, ArticleID: 431476

[35]

YueC, GaoH, LiuX, et al.. Analytical prediction of part dynamics and process damping for machining stability analysis. Procedia CIRP, 2018, 72: 1463-1468

[36]

TuncLT, BudakE. Effect of cutting conditions and tool geometry on process damping in machining. Int J Mach Tool Manuf, 2012, 57: 10-19

[37]

FengJ, WanM, GaoTQ, et al.. Mechanism of process damping in milling of thin-walled workpiece. Int J Mach Tool Manuf, 2018, 134: 1-19

[38]

WangD, LoserM, IhlenfeldtS, et al.. Milling stability analysis with considering process damping and mode shapes of in-process thin-walled workpiece. Int J Mech Sci, 2019, 159: 382-397

[39]

FengJ, WanM, DongZY, et al.. A unified process damping model considering the varying stiffness of the milling system. Int J Mach Tool Manuf, 2019, 147, ArticleID: 103470

[40]

TuysuzO, AltintasY. Analytical modeling of process damping in machining. J Manuf Sci Eng, 2019, 141(6) ArticleID: 061006

[41]

TangX, PengF, YanR, et al.. Nonlinear process damping identification using finite amplitude stability and the influence analysis on five-axis milling stability. Int J Mech Sci, 2021, 190, ArticleID: 106008

[42]

WanM, LiY, WenDY, et al.. On cutting process damping for small cutters by including the influences of the dead metal zone and elastic recovery. J Mater Process Technol, 2022, 306, ArticleID: 117608

[43]

AltintasY, BudakE. Analytical prediction of stability lobes in milling. CIRP Ann, 1995, 44 1): 357-362

[44]

AltintasY, StepanG, MerdolD, et al.. Chatter stability of milling in frequency and discrete time domain. CIRP J Manuf Sci Technol, 2008, 1(1): 35-44

[45]

DingY, ZhuL, ZhangX, et al.. A full-discretization method for prediction of milling stability. Int J Mach Tool Manuf, 2010, 50(5): 502-509

[46]

XiaY, WanY, LuoX, et al.. Milling stability prediction based on the hybrid interpolation scheme of the newton and lagrange polynomials. Int J Adv Manuf Technol, 2021, 112(5): 1501-1512

[47]

XiaY, WanY, LuoX, et al.. An improved numerical integration method to predict the milling stability based on the lagrange interpolation scheme. Int J Adv Manuf Technol, 2021, 116(7): 2111-2123

[48]

XiaY, WanY, DuJ, et al.. Fast prediction of chatter stability in milling process based on an updated numerical solution scheme. Int J Adv Manuf Technol, 2022, 123: 4041-4050

[49]

TakuyaK, SuzukiN, HinoR, et al.. A novel design method of variable helix cutters to attain robust regeneration suppression. Procedia CIRP, 2013, 8: 363-367

[50]

HamannD, WalzNP, FischerA, et al.. Fuzzy arithmetical stability analysis of uncertain machining systems. Mech Syst Signal Process, 2018, 98: 534-547

[51]

TotisG. RCPM—a new method for robust chatter prediction in milling. Int J Mach Tool Manuf, 2009, 49(3–4): 273-284

[52]

HajduD, InspergerT, BachrathyD, et al.. Prediction of robust stability boundaries for milling operations with extended multi-frequency solution and structured singular values. J Manuf Process, 2017, 30: 281-289

[53]

TotisG, SortinoM. Polynomial chaos-kriging approaches for an efficient probabilistic chatter prediction in milling. Int J Mach Tool Manuf, 2020, 157, ArticleID: 103610

[54]

GuptaP, SinghB. Ensembled local mean decomposition and genetic algorithm approach to investigate tool chatter features at higher metal removal rate. J Vib Control, 2022, 28(1/2): 30-44

[55]

MishraR, GuptaP, SinghB. An intelligent approach to extract chatter and metal removal rate features impromptu from milling sound signal. Proc Inst Mech Eng Part E J Process Mech Eng, 2023, 238(5): 2235-2245

[56]

MishraR, SinghB. SBLMD–ANN–MOPSO-based hybrid approach for determining optimum parameter in CNC milling. Soft Comput, 2023, 27(11): 7299-7320

[57]

BediagaI, MunoaJ, HernandezJ, et al.. An automatic spindle speed selection strategy to obtain stability in high-speed milling. Int J Mach Tool Manuf, 2009, 49(5): 384-394

[58]

SeguyS, InspergerT, ArnaudL, et al.. Suppression of period doubling chatter in high-speed milling by spindle speed variation. Mach Sci Technol, 2011, 15(2): 153-171

[59]

MoritaH, YamashitaT. Tracing and visualizing variation of chatter for in-process identification of preferred spindle speeds. Procedia CIRP, 2012, 4: 11-16

[60]

IsmailF, KubicaE. Active suppression of chatter in peripheral milling part 1. A statistical indicator to evaluate the spindle speed modulation method. Int J Adv Manuf Technol, 1995, 10(5): 299-310

[61]

KubicaE, IsmailF. Active suppression of chatter in peripheral milling. Part II. Application of fuzzy control. Int J Adv Manuf Technol, 1996, 12(4): 236-245

[62]

YilmazA, Al-RegibE, NiJ. Machine tool chatter suppression by multi-level random spindle speed variation. J Manuf Sci Eng, 2002, 124(2): 208-216

[63]

SeguyS, InspergerT, ArnaudL, et al.. On the stability of high-speed milling with spindle speed variation. Int J Adv Manuf Technol, 2010, 48(9): 883-895

[64]

DingL, SunY, XiongZ. Online chatter suppression in turning by adaptive amplitude modulation of spindle speed variation. J Manuf Sci Eng, 2018, 140(12) ArticleID: 121003

[65]

WangC, ZhangX, YanR, et al.. Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization. Precis Eng, 2019, 55: 268-274

[66]

LvS, ZhaoY. Stability of milling process with variable spindle speed using Runge–Kutta-based complete method. Math Probl Eng, 2021, 2021: 6672513

[67]

OttoA, RadonsG. Application of spindle speed variation for chatter suppression in turning. CIRP J Manuf Sci Technol, 2013, 6 2): 102-109

[68]

YamatoS, ItoT, MatsuzakiH, et al.. Programmable optimal design of sinusoidal spindle speed variation for regenerative chatter suppression. Procedia Manuf, 2018, 18: 152-160

[69]

YamatoS, ItoT, MatsuzakiH, et al.. Self-acting optimal design of spindle speed variation for regenerative chatter suppression based on novel analysis of internal process energy behavior. Int J Mach Tool Manuf, 2020, 159, ArticleID: 103639

[70]

DingL, SunY, XiongZ. Active chatter suppression in turning by simultaneous adjustment of amplitude and frequency of spindle speed variation. J Manuf Sci Eng, 2020, 142(2) ArticleID: 021004

[71]

PaekR, HaSH, RiSC. Optimal determination of spindle speed variation type for the suppression of chatter in turning. Int J Adv Manuf Technol, 2023, 126 5/6): 2481-2496

[72]

AlbertelliP, MuslettiS, LeonesioM, et al.. Spindle speed variation in turning: technological effectiveness and applicability to real industrial cases. Int J Adv Manuf Technol, 2012, 62(1): 59-67

[73]

NamS, HayasakaT, JungH, et al.. Proposal of novel spindle speed variation profile with constant acceleration rate for improvement of chatter stability. Precis Eng, 2021, 68: 218-234

[74]

GuoY, LinB, WangW. Optimization of variable helix cutter for improving chatter stability. Int J Adv Manuf Technol, 2019, 104(5): 2553-2565

[75]

JinG, QiH, LiZ, et al.. Dynamic modeling and stability analysis for the combined milling system with variable pitch cutter and spindle speed variation. Commun Nonlinear Sci Numer Simul, 2018, 63: 38-56

[76]

JinG, ZhangQ, HaoS, et al.. (2013) Stability prediction of milling process with variable pitch cutter. Math Probl Eng, 2013, 1, ArticleID: 932013

[77]

TehranizadehF, KocaR, BudakE. Investigating effects of serration geometry on milling forces and chatter stability for their optimal selection. Int J Mach Tool Manuf, 2019, 144, ArticleID: 103425

[78]

AltintasY, EnginS, BudakE. Analytical stability prediction and design of variable pitch cutters. J Manuf Sci Eng, 1999, 121: 173-178

[79]

TurnerS, MerdolD, AltintasY, et al.. Modelling of the stability of variable helix end mills. Int J Mach Tool Manuf, 2007, 47(9): 1410-1416

[80]

JinG, ZhangX, ZhangK, et al.. Stability analysis method for periodic delay differential equations with multiple distributed and time-varying delays. Math Probl Eng, 2020, 2020: 1982363

[81]

JinG, JiangH, HanJ, et al.. Stability analysis of milling process with variable spindle speed and pitch angle considering helix angle and process phase difference. Math Probl Eng, 2021, 2021: 6654176

[82]

SimsN, MannB, HuyananS. Analytical prediction of chatter stability for variable pitch and variable helix milling tools. J Sound Vib, 2008, 317(3/5): 664-686

[83]

OttoA, RauhS, IhlenfeldtS, et al.. Stability of milling with non-uniform pitch and variable helix tools. Int J Adv Manuf Technol, 2017, 89(9): 2613-2625

[84]

YanZ, ZhangC, JiangX, et al.. Chatter stability analysis for milling with single-delay and multi-delay using combined high-order full-discretization method. Int J Adv Manuf Technol, 2020, 111(5): 1401-1413

[85]

MeiY, MoR, SunH, et al.. Stability analysis of milling process with multiple delays. Appl Sci, 2020, 10(10): 3646

[86]

NiuJ, DingY, ZhuL, et al.. Mechanics and multi-regenerative stability of variable pitch and variable helix milling tools considering runout. Int J Mach Tool Manuf, 2017, 123: 129-145

[87]

YusoffAR, SimsND. Optimisation of variable helix tool geometry for regenerative chatter mitigation. Int J Mach Tool Manuf, 2011, 51(2): 133-141

[88]

NieW, ZhengM, YuH, et al.. Analysis of vibration reduction mechanism for variable pitch end mills. Int J Adv Manuf Technol, 2022, 119: 7787-7797

[89]

ComakA, BudakE. Modeling dynamics and stability of variable pitch and helix milling tools for development of a design method to maximize chatter stability. Precis Eng, 2017, 47: 459-468

[90]

YangWA, HuangC. Stability analysis of 2-D of milling dynamics for simultaneously varying tooth pitch and spindle speed with helix angle effect. Int J Adv Manuf Technol, 2020, 110(5): 1163-1177

[91]

TehranizadehF, BudakE. Design of serrated end mills for improved productivity. Procedia CIRP, 2017, 58: 493-498

[92]

WangJJJ, YangC. Angle and frequency domain force models for a roughing end mill with a sinusoidal edge profile. Int J Mach Tool Manuf, 2003, 43(14): 1509-1520

[93]

MerdolS, AltintasY. Mechanics and dynamics of serrated cylindrical and tapered end mills. J Manuf Sci Eng, 2004, 126(2): 317-326

[94]

DombovariZ, AltintasY, StepanG. The effect of serration on mechanics and stability of milling cutters. Int J Mach Tool Manuf, 2010, 50(6): 511-520

[95]

KocaR, BudakE. Optimization of serrated end mills for reduced cutting energy and higher stability. Procedia CIRP, 2013, 8: 570-575

[96]

GrabowskiR, DenkenaB, KöhlerJ. Prediction of process forces and stability of end mills with complex geometries. Procedia CIRP, 2014, 14: 119-124

[97]

BariP, KilicZM, LawM, et al.. Rapid stability analysis of serrated end mills using graphical-frequency domain methods. Int J Mach Tool Manuf, 2021, 171, ArticleID: 103805

[98]

FarahaniND, AltintasY. Chatter stability of serrated milling tools in frequency domain. J Manuf Sci Eng, 2022, 144(3) ArticleID: 031013

[99]

BrecherC, BaumlerS, BrockmannB. Avoiding chatter by means of active damping systems for machine tools. J Mach Eng, 2013, 13 3): 117-128

[100]

WanM, LiangXY, YangY, et al.. Suppressing vibrations in milling-trimming process of the platelike workpiece by optimizing the location of vibration absorber. J Mater Process Technol, 2020, 278, ArticleID: 116499

[101]

YuanH, WanM, YangY, et al.. A tunable passive damper for suppressing chatters in thin-wall milling by considering the varying modal parameters of the workpiece. Int J Adv Manuf Technol, 2019, 104(9): 4605-4616

[102]

HengY, MinW, YunY. Design of a tunable mass damper for mitigating vibrations in milling of cylindrical parts. Chin J Aeronaut, 2019, 32(3): 748-758

[103]

WangM. Feasibility study of nonlinear tuned mass damper for machining chatter suppression. J Sound Vib, 2011, 330(9): 1917-1930

[104]

QinP, LiuY, WangM, et al.. Milling vibration control of semiconical shell workpiece with multiple distribution tuned mass dampers. Int J Adv Manuf Technol, 2021, 115(7): 2175-2190

[105]

NakanoY, KishiT, TakaharaH. Experimental study on application of tuned mass dampers for chatter in turning of a thin-walled cylinder. Appl Sci, 2021, 11(24): 12070

[106]

LeeJ, KimCJ, LeeC, et al.. Optimal design of multiple tuned mass dampers to reduce vibrations of a ram-type structure with varying dynamics via a control theoretic framework. J Manuf Sci Eng, 2020, 142(2) ArticleID: 021009

[107]

WanM, DangXB, ZhangWH, et al.. Optimization and improvement of stable processing condition by attaching additional masses for milling of thin-walled workpiece. Mech Syst Signal Process, 2018, 103: 196-215

[108]

WangM, ZhangYL, ZanT. Performance optimization and comparison of TMD, MTMD and DTMD for machining chatter control. Adv Mater Res, 2011, 199 200): 1165-1170

[109]

YangY, MunoaJ, AltintasY. Optimization of multiple tuned mass dampers to suppress machine tool chatter. Int J Mach Tool Manuf, 2010, 50(9): 834-842

[110]

SelvakumarM, VenugopalPR, VelayudhanG. Optimization of tuned mass damper location for enhanced chatter suppression in thin-wall milling. Stroj Vestn-J Mech Eng, 2022, 68(5): 339-349

[111]

ZhangJ, XieF, MaZ, et al.. Design of parallel multiple tuned mass dampers for the vibration suppression of a parallel machining robot. Mech Syst Signal Process, 2023, 200, ArticleID: 110506

[112]

FeiJ, LinB, YanS, et al.. Chatter mitigation using moving damper. J Sound Vib, 2017, 410: 49-63

[113]

ButtMA, YangY, PeiX, et al.. Five-axis milling vibration attenuation of freeform thin-walled part by eddy current damping. Precis Eng, 2018, 51: 682-690

[114]

WanM, DangXB, ZhangWH, et al.. Chatter suppression in the milling process of the weakly-rigid workpiece through a moving fixture. J Mater Process Technol, 2022, 299, ArticleID: 117293

[115]

LiuS, XiaoJ, TianY, et al.. Chatter-free and high-quality end milling for thin-walled workpieces through a follow-up support technology. J Mater Process Technol, 2023, 312, ArticleID: 117857

[116]

XiaY, WanY, LuoX, et al.. Chatter suppression in large overhang face milling using a toolholder with high dynamic performance. Int J Adv Manuf Technol, 2020, 108(5): 1713-1724

[117]

WangM, QinP, ZanT, et al.. Improving optimal chatter control of slender cutting tool through more accurate tuned mass damper modeling. J Sound Vib, 2021, 513, ArticleID: 116393

[118]

MaW, YangY, JinX. Chatter suppression in micro-milling using shank-mounted two-dof tuned mass damper. Precis Eng, 2021, 72: 144-157

[119]

YangYQ, YuY. Design and simulation of long slender end mill embedded with passive damper. Procedia Eng, 2015, 99: 1380-1384

[120]

MaW, YuJ, YangY, et al.. Optimization and tuning of passive tuned mass damper embedded in milling tool for chatter mitigation. J Manuf Mater Process, 2020, 5(1): 2

[121]

PatelA, TalaviyaDK, LawM, et al.. Optimally tuning an absorber for a chatter-resistant rotating slender milling tool holder. J Sound Vib, 2022, 520, ArticleID: 116594

[122]

Aguirre G, Gorostiaga M, Porchez T et al (2012) Self-tuning semi-active tuned-mass damper for machine tool chatter suppression. In: ISMA2012-USD2012, Leuven, Belgium, September 17–19, 2012

[123]

BurtscherJ, FleischerJ. Adaptive tuned mass damper with variable mass for chatter avoidance. CIRP Ann, 2017, 66(1): 397-400

[124]

TangN, RongongJ, SimsN. Design of adjustable tuned mass dampers using elastomeric O-rings. J Sound Vib, 2018, 433: 334-348

[125]

AltintasY, LappinD, van ZylD, et al.. Automatically tuned boring bar system. CIRP Ann, 2021, 70(1): 313-316

[126]

ZylDV, AltintasY, OstlingD. Parametric design of boring bars with adaptive tuned mass dampers. CIRP J Manuf Sci Technol, 2022, 38: 491-499

[127]

WangM, FeiR. Chatter suppression based on nonlinear vibration characteristic of electrorheological fluids. Int J Mach Tool Manuf, 1999, 39(12): 1925-1934

[128]

MeiD, KongT, ShihAJ, et al.. Magnetorheological fluid-controlled boring bar for chatter suppression. J Mater Process Technol, 2009, 209(4): 1861-1870

[129]

SarathS, PaulPS. Application of smart fluid to control vibration in metal cutting: a review. World J Eng, 2021, 18(3): 458-479

[130]

SomA, KimDH, SonH. Semiactive magnetorheological damper for high aspect ratio boring process. IEEE/ASME Trans Mechatron, 2015, 20(5): 2575-2582

[131]

BijuC, ShunmugamM. Performance of magnetorheological fluid based tunable frequency boring bar in chatter control. Measurement, 2019, 140: 407-415

[132]

EmamiM, NasabVH, AkarS, et al.. Experimental investigation into the effect of magnetorheological fluid damper on vibration and chatter in straight turning process. J Manuf Process, 2023, 99: 825-847

[133]

SajediPD, BehbahaniS. Semi-active fuzzy control of machine tool chatter vibration using smart MR dampers. Int J Adv Manuf Technol, 2016, 83(1): 421-428

[134]

NiuJ, HouJ, ShenY, et al.. Dynamic analysis and vibration control of nonlinear boring bar with fractional-order model of magnetorheological fluid. Int J Non-Linear Mech, 2020, 121, ArticleID: 103459

[135]

SalehMK, UlasyarA, LazogluI. Active damping of chatter in the boring process via variable gain sliding mode control of a magnetorheological damper. CIRP Ann, 2021, 70(1): 337-340

[136]

MaJ, ZhangD, WuB, et al.. Stability improvement and vibration suppression of the thin-walled workpiece in milling process via magnetorheological fluid flexible fixture. Int J Adv Manuf Technol, 2017, 88(5): 1231-1242

[137]

JiangX, ZhaoG, LuW. Vibration suppression of complex thin-walled workpiece based on magnetorheological fixture. Int J Adv Manuf Technol, 2020, 106(3): 1043-1055

[138]

LiuH, WangJ, LuoQ, et al.. Effect of controllable magnetic field-induced MRF solidification on chatter suppression of thin-walled parts. Int J Adv Manuf Technol, 2020, 109(9): 2881-2890

[139]

GuoWC, ZhangY, JiangXH, et al.. Improvement of stiffness during milling thin-walled workpiece based on mechanical/magnetorheological composite clamping. J Manuf Process, 2021, 68: 1047-1059

[140]

JiangX, WuK, ZhangY, et al.. Improved vibration suppression modeling for reinforcement clamping by eco-friendly magnetorheological fluid during milling of annular thin-walled workpiece. Int J Precis Eng Manuf-Green Technol, 2022, 9: 1511-1526

[141]

Puma-AraujoSD, Olvera-TrejoD, Martínez-RomeroO, et al.. Semi-active magnetorheological damper device for chatter mitigation during milling of thin-floor components. Appl Sci, 2020, 10(15): 5313

[142]

MaJ, LiY, ZhangD, et al.. Dynamic characteristic reconfiguration of a fixture-workpiece system for vibration suppression in milling of thin-walled workpieces based on MR damping fixture. Int J Adv Manuf Technol, 2022, 122(9): 3751-3768

[143]

MaJ, LiY, ZhangD, et al.. Dynamic response prediction model of thin-wall workpiece-fixture system with magnetorheological damping in milling. J Manuf Process, 2022, 74: 500-510

[144]

ChenM, KnospeCR. Control approaches to the suppression of machining chatter using active magnetic bearings. IEEE Trans Control Syst Technol, 2007, 15(2): 220-232

[145]

MancisidorI, Pena-SevillanoA, DombovariZ, et al.. Delayed feedback control for chatter suppression in turning machines. Mechatronics, 2019, 63, ArticleID: 102276

[146]

MaH, WuJ, YangL, et al.. Active chatter suppression with displacement-only measurement in turning process. J Sound Vib, 2017, 401: 255-267

[147]

BahadorA, DuC, JinY. Piezoelectric active damper for surface roughness improvement in hard turning processes. J Braz Soc Mech Sci Eng, 2022, 44(4): 1-13

[148]

MaH, GuoJ, WuJ, et al.. An active control method for chatter suppression in thin plate turning. IEEE Trans Ind Inform, 2019, 16(3): 1742-1753

[149]

DumanliA, SencerB. Active control of high frequency chatter with machine tool feed drives in turning. CIRP Ann, 2021, 70(1): 309-312

[150]

GrossiN, CroppiL, ScippaA, et al.. A dedicated design strategy for active boring bar. Appl Sci, 2019, 9(17): 3541

[151]

FallahM, Moetakef-ImaniB. Adaptive inverse control of chatter vibrations in internal turning operations. Mech Syst Signal Process, 2019, 129: 91-111

[152]

FallahM, Moetakef-ImaniB. Design, analysis, and implementation of a new adaptive chatter control system in internal turning. Int J Adv Manuf Technol, 2019, 104(5): 1637-1659

[153]

DohnerJL, LaufferJP, HinnerichsTD, et al.. Mitigation of chatter instabilities in milling by active structural control. J Sound Vib, 2004, 269(1–2): 197-211

[154]

DenkenaB, GümmerO. Process stabilization with an adaptronic spindle system. Prod Eng, 2012, 6(4): 485-492

[155]

WangC, ZhangX, CaoH, et al.. Milling stability prediction and adaptive chatter suppression considering helix angle and bending. Int J Adv Manuf Technol, 2018, 95(9): 3665-3677

[156]

MonninJ, KusterF, WegenerK. Optimal control for chatter mitigation in milling—part 1: modeling and control design. Control Eng Pract, 2014, 24: 156-166

[157]

WanS, LiX, SuW, et al.. Active chatter suppression for milling process with sliding mode control and electromagnetic actuator. Mech Syst Signal Process, 2020, 136, ArticleID: 106528

[158]

AbeleE, DohnalF, FeulnerM, et al.. Numerical investigation of chatter suppression via parametric anti-resonance in a motorized spindle unit during milling. Prod Eng, 2018, 12(3): 309-317

[159]

MonninJ, KusterF, WegenerK. Optimal control for chatter mitigation in milling—part 2: experimental validation. Control Eng Pract, 2014, 24: 167-175

[160]

Huang T, Wu Y, Zhang X et al (2015) Modeling and control of an AMBs supported milling spindle. In: Proceedings of the international conference on intelligent robotics and applications, ICIRA 2015. Lecture Notes in Computer Science, vol 9245, Springer. https://doi.org/10.1007/978-3-319-22876-1_56

[161]

WanS, LiX, SuW, et al.. Milling chatter mitigation with projection-based robust adaptive controller and active magnetic bearing. Int J Precis Eng Manuf, 2022, 23: 1453-1463

[162]

HuangT, ChenZ, ZhangHT, et al.. Active control of an active magnetic bearings supported spindle for chatter suppression in milling process. J Dyn Syst Meas Control, 2015, 137(11) ArticleID: 111003

[163]

LiX, WanS, YuanJ, et al.. Active suppression of milling chatter with LMI-based robust controller and electromagnetic actuator. J Mater Process Technol, 2021, 297, ArticleID: 117238

[164]

VashishtRK, PengQ. Fractional calculus-based energy efficient active chatter control of milling process using small size electromagnetic actuators. J Vib Acoust, 2021, 143 1) ArticleID: 011005

[165]

CaoH, ZhangX, ChenX. The concept and progress of intelligent spindles: a review. Int J Mach Tool Manuf, 2017, 112: 21-52

[166]

AbeleE, HanselkaH, HaaseF, et al.. Development and design of an active work piece holder driven by piezo actuators. Prod Eng, 2008, 2 4): 437-442

[167]

RashidA, NicolescuCM. Active vibration control in palletised workholding system for milling. Int J Mach Tool Manuf, 2006, 46(12/13): 1626-1636

[168]

BrecherC, ManoharanD, LadraU, et al.. Chatter suppression with an active workpiece holder. Prod Eng, 2010, 4(2): 239-245

[169]

SalleseL, GrossiN, TsahalisJ, et al.. Intelligent fixtures for active chatter control in milling. Procedia CIRP, 2016, 55: 176-181

[170]

CampatelliG, SalleseL, ScippaA. Design of an active workpiece holder. Procedia CIRP, 2015, 34: 217-222

[171]

DuJ, LiuX, LongX. Time delay feedback control for milling chatter suppression by reducing the regenerative effect. J Mater Process Technol, 2022, 309, ArticleID: 117740

[172]

LongX, JiangH, MengG. Active vibration control for peripheral milling processes. J Mater Process Technol, 2013, 213(5): 660-670

[173]

SalleseL, InnocentiG, GrossiN, et al.. Mitigation of chatter instabilities in milling using an active fixture with a novel control strategy. Int J Adv Manuf Technol, 2017, 89(9): 2771-2787

[174]

SalleseL, GrossiN, ScippaA, et al.. Numerical investigation of chatter suppression in milling using active fixtures in open-loop control. J Vib Control, 2018, 24(9): 1757-1773

[175]

ChenZ, ZhangHT, ZhangX, et al.. Adaptive active chatter control in milling processes. J Dyn Syst Meas Control, 2014, 136(2) ArticleID: 021007

[176]

MoradiH, VossoughiG, MovahhedyMR, et al.. Suppression of nonlinear regenerative chatter in milling process via robust optimal control. J Process Control, 2013, 23 5): 631-648

[177]

ZhangHT, WuY, HeD, et al.. Model predictive control to mitigate chatters in milling processes with input constraints. Int J Mach Tool Manuf, 2015, 91: 54-61

[178]

HuangT, ZhuL, DuS, et al.. Robust active chatter control in milling processes with variable pitch cutters. J Manuf Sci Eng, 2018, 140(10) ArticleID: 101005

[179]

MaH, WuJ, XiongZ. Active chatter control in turning processes with input constraint. Int J Adv Manuf Technol, 2020, 108 11): 3737-3751

[180]

CaoL, HuangT, ShiDM, et al.. Active chatter suppression in low immersion intermittent milling process. J Manuf Sci Eng, 2020, 142(10) ArticleID: 101005

[181]

PaulS, Morales-MenendezR. Active control of chatter in milling process using intelligent pd/pid control. IEEE Access, 2018, 6: 72698-72713

[182]

ShiF, CaoH, ZhangX, et al.. A chatter mitigation technique in milling based on H∞-ADDPMS and piezoelectric stack actuators. Int J Adv Manuf Technol, 2019, 101 9): 2233-2248

[183]

LiD, CaoH, ChenX. Fuzzy control of milling chatter with piezoelectric actuators embedded to the tool holder. Mech Syst Signal Process, 2021, 148, ArticleID: 107190

[184]

LiD, CaoH, ChenX. Displacement difference feedback control of chatter in milling processes. Int J Adv Manuf Technol, 2022, 120(9): 6053-6066

[185]

FallahM, Moetakef-ImaniB. Investigation on nonlinear dynamics and active control of boring bar chatter. J Braz Soc Mech Sci Eng, 2021, 43(3): 1-27

[186]

KleinwortR, HerbJ, KapfingerP, et al.. Experimental comparison of different automatically tuned control strategies for active vibration control. CIRP J Manuf Sci Technol, 2021, 35: 281-297

[187]

SahuGN, DeoraP, LawM, et al.. Adaptive model-free gain tuning for active damping of machine tool vibrations. J Vib Eng Technol, 2022, 10(7): 2799-2808

[188]

KleinwortR, PlatzJ, ZaehMF. Adaptive active vibration control for machine tools with highly position-dependent dynamics. Int J Autom Technol, 2018, 12(5): 631-641

[189]

Dijk NV, Wouw NVD, Doppenberg E et al (2010) Chatter control in the high-speed milling process using µ-synthesis. In: Proceedings of the 2010 American control conference, IEEE, Baltimore

[190]

LiD, CaoH, ZhangX, et al.. Model predictive control based active chatter control in milling process. Mech Syst Signal Process, 2019, 128: 266-281

[191]

ZhangX, YinZ, GaoJ, et al.. Discrete time-delay optimal control method for experimental active chatter suppression and its closed-loop stability analysis. J Manuf Sci Eng, 2019, 141(5) ArticleID: 051003

[192]

MizrachiE, BasovichS, ArogetiS. Robust time-delayed h∞ synthesis for active control of chatter in internal turning. Int J Mach Tool Manuf, 2020, 158, ArticleID: 103612

[193]

BasovichS, ArogetiS. Identification and robust control for regenerative chatter in internal turning with simultaneous compensation of machining error. Mech Syst Signal Process, 2021, 149, ArticleID: 107208

[194]

DumanliA, SencerB. Active chatter mitigation by optimal control of regenerative machining process dynamics. IEEE/ASME Trans Mechatron, 2021, 27 5): 3165-3173

[195]

RuttanatriP, ColeMO, PongvuthithumR, et al.. H-infinity controller design for chatter suppression in machining based on integrated cutting and flexible structure model. Automatica, 2021, 130 ArticleID: 109643

[196]

KakinumaY, EnomotoK, HiranoT, et al.. Active chatter suppression in turning by band-limited force control. CIRP Ann, 2014, 63(1): 365-368

[197]

LiD, CaoH, ChenX. Active control of milling chatter considering the coupling effect of spindle-tool and workpiece systems. Mech Syst Signal Process, 2022, 169, ArticleID: 108769

[198]

MaC, MaJ, ShamotoE, et al.. Analysis of regenerative chatter suppression with adding the ultrasonic elliptical vibration on the cutting tool. Precis Eng, 2011, 35(2): 329-338

[199]

GaoJ, AltintasY. Chatter stability of synchronized elliptical vibration assisted milling. CIRP J Manuf Sci Technol, 2020, 28: 76-86

[200]

SunL, ZhengK, LiaoW. Chatter suppression and stability analysis of rotary ultrasonic milling titanium alloy thin-walled workpiece. Int J Adv Manuf Technol, 2022, 118: 2193-2204

[201]

ZhangY, WangX, WuX, et al.. Stability analysis and chatter suppression of ultrasonic elliptical vibration milling of Ti-6Al-4V alloy. Int J Adv Manuf Technol, 2023, 129(3): 1301-1314

[202]

LiH, XiaY, SuG, et al.. Ultrasonic vibration-assisted chatter suppression for deep hole boring of stainless steel. Int J Adv Manuf Technol, 2024, 131(3): 1691-1703

[203]

SunZ, LiaoW, ZhengK, et al.. Chatter stability of robotic rotary ultrasonic countersinking. Chin J Aeronaut, 2023, 36(10): 434-444

[204]

WanS, JinX, MarojuNK, et al.. Effect of vibration assistance on chatter stability in milling. Int J Mach Tool Manuf, 2019, 145, ArticleID: 103432

[205]

KecikK, RusinekR, WarminskiJ, et al.. Chatter control in the milling process of composite materials. J Phys Conf Ser, 2012, 382, ArticleID: 012012

[206]

HouY, YaoP, ZhangH, et al.. Chatter stability and surface quality in milling of unidirectional carbon fiber reinforced polymer. Compos Struct, 2021, 271, ArticleID: 114131

[207]

WangF, DengJ, ZhangB, et al.. Effect of chatter on material removal during surface milling of thin-walled carbon fiber-reinforced plastic (CFRP) components. Int J Adv Manuf Technol, 2022, 122(7): 2899-2910

[208]

DengJ, WangF, FuR, et al.. Prediction of time-varying dynamics and chatter stability analysis for surface milling of thin-walled curved CFRP workpiece. J Mater Process Technol, 2023, 322, ArticleID: 118186

[209]

DijkNV, DoppenbergE, FaassenR, et al.. Automatic in-process chatter avoidance in the high-speed milling process. J Dyn Syst Meas Control, 2010, 132 3) ArticleID: 031006

[210]

BortCMG, LeonesioM, BosettiP. A model-based adaptive controller for chatter mitigation and productivity enhancement in CNC milling machines. Robot Comput Integr Manuf, 2016, 40: 34-43

[211]

GubanovG. Broadband pneumatic mass damper for the elimination of workpiece vibrations. CIRP J Manuf Sci Technol, 2020, 30: 184-194

Funding

National Natural Science Foundation of China(51805116)

RIGHTS & PERMISSIONS

Shanghai University and Periodicals Agency of Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF

215

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/