[1] Yue C, Gao H, Liu X et al (2019) A review of chatter vibration research in milling. Chin J Aeronaut 32(2):215-242 [2] Munoa J, Beudaert X, Dombovari Z et al (2016) Chatter suppression techniques in metal cutting. CIRP Ann 65(2):785-808 [3] Zhu L, Liu C (2020) Recent progress of chatter prediction, detection and suppression in milling. Mech Syst Signal Process 143:106840. https://doi.org/10.1016/j.ymssp.2020.106840 [4] Dong X, Shen X, Fu Z (2021) Stability analysis in turning with a variable spindle speed based on the reconstructed semi-discretization method. Int J Adv Manuf Technol 117(11):3393-3403 [5] Zhang X, Wang C, Liu J et al (2019) Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators. Mech Syst Signal Process 120:808-835 [6] Quintana G, Ciurana J (2011) Chatter in machining processes: a review. Int J Mach Tool Manuf 51(5):363-376 [7] Yang Y, Zhang WH, Ma YC et al (2016) Chatter prediction for the peripheral milling of thin-walled workpieces with curved surfaces. Int J Mach Tool Manuf 109:36-48 [8] Yang Y, Zhang WH, Ma YC et al (2019) An efficient decomposition-condensation method for chatter prediction in milling large-scale thin-walled structures. Mech Syst Signal Process 121:58-76 [9] Liu YP, Kilic ZM, Altintas Y (2022) Monitoring of in-process force coefficients and tool wear. CIRP J Manuf Sci Technol 38:105-119 [10] Jiang S, Zhan D, Liu Y et al (2022) Modeling of variable-pitch/helix milling system considering axially varying dynamics with cutter runout offset and tilt effects. Mech Syst Signal Process 168:108674. https://doi.org/10.1016/j.ymssp.2021.108674 [11] Liu X, Gao H, Yue C et al (2018) Investigation of the milling stability based on modified variable cutting force coefficients. Int J Adv Manuf Technol 96(9):2991-3002 [12] Chen X, Zhang Z, Wang Q et al (2022) A new method for prediction of cutting force considering the influence of machine tool system and tool wear. Int J Adv Manuf Technol 120(3):1843-1852 [13] Shi KN, Liu N, Liu CL et al (2022) Indirect approach for predicting cutting force coefficients and power consumption in milling process. Adv Manuf 10(1):101-113 [14] Yu G, Wang L, Wu J (2018) Prediction of chatter considering the effect of axial cutting depth on cutting force coefficients in end milling. Int J Adv Manuf Technol 96(9):3345-3354 [15] Wang G, Peng D, Qin X et al (2012) An improved dynamic milling force coefficients identification method considering edge force. J Mech Sci Technol 26(5):1585-1590 [16] Ozturk E, Ozkirimli O, Gibbons T et al (2016) Prediction of effect of helix angle on cutting force coefficients for design of new tools. CIRP Ann 65(1):125-128 [17] Zhuo Y, Han Z, Duan J et al (2021) Estimation of vibration stability in milling of thin-walled parts using operational modal analysis. Int J Adv Manuf Technol 115(4):1259-1275 [18] Schmitz TL, Donalson R (2000) Predicting high-speed machining dynamics by substructure analysis. CIRP Ann 49(1):303-308 [19] Albertelli P, Goletti M, Monno M (2013) A new receptance coupling substructure analysis methodology to improve chatter free cutting conditions prediction. Int J Mach Tool Manuf 72:16-24 [20] Ji Y, Bi Q, Zhang S et al (2018) A new receptance coupling substructure analysis methodology to predict tool tip dynamics. Int J Mach Tool Manuf 126:18-26 [21] Yang Y, Wan M, Ma YC et al (2018) A new method using double distributed joint interface model for three-dimensional dynamics prediction of spindle-holder-tool system. Int J Adv Manuf Technol 95(5):2729-2745 [22] Postel M, Bugdayci B, Wegener K (2020) Ensemble transfer learning for refining stability predictions in milling using experimental stability states. Int J Adv Manuf Technol 107(9):4123-4139 [23] Schmitz T, Cornelius A, Karandikar J et al (2022) Receptance coupling substructure analysis and chatter frequency-informed machine learning for milling stability. CIRP Ann 71(1):361-364 [24] Stepan G, Kiss AK, Ghalamchi B et al (2017) Chatter avoidance in cutting highly flexible workpieces. CIRP Ann 66(1):377-380 [25] Wang X, Song Q, Liu Z (2021) Dynamic model and stability prediction of thin-walled component milling with multi-modes coupling effect. J Mater Process Technol 288:116869. https://doi.org/10.1016/j.jmatprotec.2020.116869 [26] Eynian M (2019) In-process identification of modal parameters using dimensionless relationships in milling chatter. Int J Mach Tool Manuf 143:49-62 [27] Dang XB, Wan M, Yang Y et al (2019) Efficient prediction of varying dynamic characteristics in thin-wall milling using freedom and mode reduction methods. Int J Mech Sci 150:202-216 [28] Zhenmin LI, Song Q, Jin P et al (2023) Chatter suppression techniques in milling processes: a state of the art review. Chin J Aeronaut 37(7):1-23 [29] Otto A, Khasawneh FA, Radons G (2015) Position-dependent stability analysis of turning with tool and workpiece compliance. Int J Adv Manuf Technol 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] Lu K, Gu F, Longstaff A et al (2020) An investigation into tool dynamics adaptation for chatter stability enhancement in the turning of flexible workpieces. Int J Adv Manuf Technol 111:3259-3271 [32] Sun Y, Jiang S (2018) Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts. Int J Mach Tool Manuf 135:38-52 [33] Li W, Wang L, Yu G (2022) Chatter prediction in flank milling of thin-walled parts considering force-induced deformation. Mech Syst Signal Process 165:108314. https://doi.org/10.1016/j.ymssp.2021.108314 [34] Li X, Zhao W, Li L et al (2015) Modeling and application of process damping in milling of thin-walled workpiece made of titanium alloy. Shock Vib 2015:431476. https://doi.org/10.1155/2015/431476 [35] Yue C, Gao H, Liu X et al (2018) Analytical prediction of part dynamics and process damping for machining stability analysis. Procedia CIRP 72:1463-1468 [36] Tunc LT, Budak E (2012) Effect of cutting conditions and tool geometry on process damping in machining. Int J Mach Tool Manuf 57:10-19 [37] Feng J, Wan M, Gao TQ et al (2018) Mechanism of process damping in milling of thin-walled workpiece. Int J Mach Tool Manuf 134:1-19 [38] Wang D, Loser M, Ihlenfeldt S et al (2019) Milling stability analysis with considering process damping and mode shapes of in-process thin-walled workpiece. Int J Mech Sci 159:382-397 [39] Feng J, Wan M, Dong ZY et al (2019) A unified process damping model considering the varying stiffness of the milling system. Int J Mach Tool Manuf 147:103470. https://doi.org/10.1016/j.ijmachtools.2019.103470 [40] Tuysuz O, Altintas Y (2019) Analytical modeling of process damping in machining. J Manuf Sci Eng 141(6):061006. https://doi.org/10.1115/1.4043310 [41] Tang X, Peng F, Yan R et al (2021) Nonlinear process damping identification using finite amplitude stability and the influence analysis on five-axis milling stability. Int J Mech Sci 190:106008. https://doi.org/10.1016/j.ijmecsci.2020.106008 [42] Wan M, Li Y, Wen DY et al (2022) On cutting process damping for small cutters by including the influences of the dead metal zone and elastic recovery. J Mater Process Technol 306:117608. https://doi.org/10.1016/j.jmatprotec.2022.117608 [43] Altintas Y, Budak E (1995) Analytical prediction of stability lobes in milling. CIRP Ann 44(1):357-362 [44] Altintas Y, Stepan G, Merdol D et al (2008) Chatter stability of milling in frequency and discrete time domain. CIRP J Manuf Sci Technol 1(1):35-44 [45] Ding Y, Zhu L, Zhang X et al (2010) A full-discretization method for prediction of milling stability. Int J Mach Tool Manuf 50(5):502-509 [46] Xia Y, Wan Y, Luo X et al (2021) Milling stability prediction based on the hybrid interpolation scheme of the newton and lagrange polynomials. Int J Adv Manuf Technol 112(5):1501-1512 [47] Xia Y, Wan Y, Luo X et al (2021) An improved numerical integration method to predict the milling stability based on the lagrange interpolation scheme. Int J Adv Manuf Technol 116(7):2111-2123 [48] Xia Y, Wan Y, Du J et al (2022) Fast prediction of chatter stability in milling process based on an updated numerical solution scheme. Int J Adv Manuf Technol 123:4041-4050 [49] Takuya K, Suzuki N, Hino R et al (2013) A novel design method of variable helix cutters to attain robust regeneration suppression. Procedia CIRP 8:363-367 [50] Hamann D, Walz NP, Fischer A et al (2018) Fuzzy arithmetical stability analysis of uncertain machining systems. Mech Syst Signal Process 98:534-547 [51] Totis G (2009) RCPM—a new method for robust chatter prediction in milling. Int J Mach Tool Manuf 49(3/4):273-284 [52] Hajdu D, Insperger T, Bachrathy D et al (2017) Prediction of robust stability boundaries for milling operations with extended multi-frequency solution and structured singular values. J Manuf Process 30:281-289 [53] Totis G, Sortino M (2020) Polynomial chaos-kriging approaches for an efficient probabilistic chatter prediction in milling. Int J Mach Tool Manuf 157:103610. https://doi.org/10.1016/j.ijmachtools.2020.103610 [54] Gupta P, Singh B (2022) Ensembled local mean decomposition and genetic algorithm approach to investigate tool chatter features at higher metal removal rate. J Vib Control 28(1/2):30-44 [55] Mishra R, Gupta P, Singh B (2023) 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 238(5):2235-2245 [56] Mishra R, Singh B (2023) SBLMD-ANN-MOPSO-based hybrid approach for determining optimum parameter in CNC milling. Soft Comput 27(11):7299-7320 [57] Bediaga I, Munoa J, Hernandez J et al (2009) An automatic spindle speed selection strategy to obtain stability in high-speed milling. Int J Mach Tool Manuf 49(5):384-394 [58] Seguy S, Insperger T, Arnaud L et al (2011) Suppression of period doubling chatter in high-speed milling by spindle speed variation. Mach Sci Technol 15(2):153-171 [59] Morita H, Yamashita T (2012) Tracing and visualizing variation of chatter for in-process identification of preferred spindle speeds. Procedia CIRP 4:11-16 [60] Ismail F, Kubica E (1995) Active suppression of chatter in peripheral milling part 1. A statistical indicator to evaluate the spindle speed modulation method. Int J Adv Manuf Technol 10(5):299-310 [61] Kubica E, Ismail F (1996) Active suppression of chatter in peripheral milling. Part II. Application of fuzzy control. Int J Adv Manuf Technol 12(4):236-245 [62] Yilmaz A, Al-Regib E, Ni J (2002) Machine tool chatter suppression by multi-level random spindle speed variation. J Manuf Sci Eng 124(2):208-216 [63] Seguy S, Insperger T, Arnaud L et al (2010) On the stability of high-speed milling with spindle speed variation. Int J Adv Manuf Technol 48(9):883-895 [64] Ding L, Sun Y, Xiong Z (2018) Online chatter suppression in turning by adaptive amplitude modulation of spindle speed variation. J Manuf Sci Eng 140(12):121003. https://doi.org/10.1115/1.4041248 [65] Wang C, Zhang X, Yan R et al (2019) Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization. Precis Eng 55:268-274 [66] Lv S, Zhao Y (2021) Stability of milling process with variable spindle speed using Runge-Kutta-based complete method. Math Probl Eng 2021:6672513. https://doi.org/10.1155/2021/6672513 [67] Otto A, Radons G (2013) Application of spindle speed variation for chatter suppression in turning. CIRP J Manuf Sci Technol 6(2):102-109 [68] Yamato S, Ito T, Matsuzaki H et al (2018) Programmable optimal design of sinusoidal spindle speed variation for regenerative chatter suppression. Procedia Manuf 18:152-160 [69] Yamato S, Ito T, Matsuzaki H et al (2020) 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 159:103639. https://doi.org/10.1016/j.ijmachtools.2020.103639 [70] Ding L, Sun Y, Xiong Z (2020) Active chatter suppression in turning by simultaneous adjustment of amplitude and frequency of spindle speed variation. J Manuf Sci Eng 142(2):021004. https://doi.org/10.1115/1.4045618 [71] Paek R, Ha SH, Ri SC (2023) Optimal determination of spindle speed variation type for the suppression of chatter in turning. Int J Adv Manuf Technol 126(5/6):2481-2496 [72] Albertelli P, Musletti S, Leonesio M et al (2012) Spindle speed variation in turning: technological effectiveness and applicability to real industrial cases. Int J Adv Manuf Technol 62(1):59-67 [73] Nam S, Hayasaka T, Jung H et al (2021) Proposal of novel spindle speed variation profile with constant acceleration rate for improvement of chatter stability. Precis Eng 68:218-234 [74] Guo Y, Lin B, Wang W (2019) Optimization of variable helix cutter for improving chatter stability. Int J Adv Manuf Technol 104(5):2553-2565 [75] Jin G, Qi H, Li Z et al (2018) Dynamic modeling and stability analysis for the combined milling system with variable pitch cutter and spindle speed variation. Commun Nonlinear Sci Numer Simul 63:38-56 [76] Jin G, Zhang Q, Hao S et al (2013) (2013) Stability prediction of milling process with variable pitch cutter. Math Probl Eng 1:932013. https://doi.org/10.1155/2013/932013 [77] Tehranizadeh F, Koca R, Budak E (2019) Investigating effects of serration geometry on milling forces and chatter stability for their optimal selection. Int J Mach Tool Manuf 144:103425. https://doi.org/10.1016/j.ijmachtools.2019.103425 [78] Altintas Y, Engin S, Budak E (1999) Analytical stability prediction and design of variable pitch cutters. J Manuf Sci Eng 121:173-178 [79] Turner S, Merdol D, Altintas Y et al (2007) Modelling of the stability of variable helix end mills. Int J Mach Tool Manuf 47(9):1410-1416 [80] Jin G, Zhang X, Zhang K et al (2020) Stability analysis method for periodic delay differential equations with multiple distributed and time-varying delays. Math Probl Eng 2020:1982363. https://doi.org/10.1155/2020/1982363 [81] Jin G, Jiang H, Han J et al (2021) Stability analysis of milling process with variable spindle speed and pitch angle considering helix angle and process phase difference. Math Probl Eng 2021:6654176. https://doi.org/10.1155/2021/6654176 [82] Sims N, Mann B, Huyanan S (2008) Analytical prediction of chatter stability for variable pitch and variable helix milling tools. J Sound Vib 317(3/5):664-686 [83] Otto A, Rauh S, Ihlenfeldt S et al (2017) Stability of milling with non-uniform pitch and variable helix tools. Int J Adv Manuf Technol 89(9):2613-2625 [84] Yan Z, Zhang C, Jiang X et al (2020) Chatter stability analysis for milling with single-delay and multi-delay using combined high-order full-discretization method. Int J Adv Manuf Technol 111(5):1401-1413 [85] Mei Y, Mo R, Sun H et al (2020) Stability analysis of milling process with multiple delays. Appl Sci 10(10):3646. https://doi.org/10.3390/app10103646 [86] Niu J, Ding Y, Zhu L et al (2017) Mechanics and multi-regenerative stability of variable pitch and variable helix milling tools considering runout. Int J Mach Tool Manuf 123:129-145 [87] Yusoff AR, Sims ND (2011) Optimisation of variable helix tool geometry for regenerative chatter mitigation. Int J Mach Tool Manuf 51(2):133-141 [88] Nie W, Zheng M, Yu H et al (2022) Analysis of vibration reduction mechanism for variable pitch end mills. Int J Adv Manuf Technol 119:7787-7797 [89] Comak A, Budak E (2017) Modeling dynamics and stability of variable pitch and helix milling tools for development of a design method to maximize chatter stability. Precis Eng 47:459-468 [90] Yang WA, Huang C (2020) 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 110(5):1163-1177 [91] Tehranizadeh F, Budak E (2017) Design of serrated end mills for improved productivity. Procedia CIRP 58:493-498 [92] Wang JJJ, Yang C (2003) Angle and frequency domain force models for a roughing end mill with a sinusoidal edge profile. Int J Mach Tool Manuf 43(14):1509-1520 [93] Merdol S, Altintas Y (2004) Mechanics and dynamics of serrated cylindrical and tapered end mills. J Manuf Sci Eng 126(2):317-326 [94] Dombovari Z, Altintas Y, Stepan G (2010) The effect of serration on mechanics and stability of milling cutters. Int J Mach Tool Manuf 50(6):511-520 [95] Koca R, Budak E (2013) Optimization of serrated end mills for reduced cutting energy and higher stability. Procedia CIRP 8:570-575 [96] Grabowski R, Denkena B, K?hler J (2014) Prediction of process forces and stability of end mills with complex geometries. Procedia CIRP 14:119-124 [97] Bari P, Kilic ZM, Law M et al (2021) Rapid stability analysis of serrated end mills using graphical-frequency domain methods. Int J Mach Tool Manuf 171:103805. https://doi.org/10.1016/j.ijmachtools.2021.103805 [98] Farahani ND, Altintas Y (2022) Chatter stability of serrated milling tools in frequency domain. J Manuf Sci Eng 144(3):031013. https://doi.org/10.1115/1.4052007 [99] Brecher C, Baumler S, Brockmann B (2013) Avoiding chatter by means of active damping systems for machine tools. J Mach Eng 13(3):117-128 [100] Wan M, Liang XY, Yang Y et al (2020) Suppressing vibrations in milling-trimming process of the platelike workpiece by optimizing the location of vibration absorber. J Mater Process Technol 278:116499. https://doi.org/10.1016/j.jmatprotec.2019.116499 [101] Yuan H, Wan M, Yang Y et al (2019) 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 104(9):4605-4616 [102] Heng Y, Min W, Yun Y (2019) Design of a tunable mass damper for mitigating vibrations in milling of cylindrical parts. Chin J Aeronaut 32(3):748-758 [103] Wang M (2011) Feasibility study of nonlinear tuned mass damper for machining chatter suppression. J Sound Vib 330(9):1917-1930 [104] Qin P, Liu Y, Wang M et al (2021) Milling vibration control of semiconical shell workpiece with multiple distribution tuned mass dampers. Int J Adv Manuf Technol 115(7):2175-2190 [105] Nakano Y, Kishi T, Takahara H (2021) Experimental study on application of tuned mass dampers for chatter in turning of a thin-walled cylinder. Appl Sci 11(24):12070. https://doi.org/10.3390/app112412070 |