Abstract
To increase productivity and the material removal rate, an increasing number of factories have been employing multiple tools for simultaneous cutting. Among these tools is parallel orthogonal turn-milling, which is an important parallel-processing method. However, a dynamic interaction occurs during the cutting processes due to the waviness induced on the shared cutting surface and the dynamic coupling through the machine structure, creating machining vibrations, or chatter, which affect the quality of the machined surface. Therefore, to reduce or avoid the vibration problem during the cutting process, chatter stability of parallel orthogonal turn-milling was examined in this study. Initially, a chatter mechanism model of parallel orthogonal turn-milling was designed, and the limit-critical axial depth of the cut formula was obtained. Next, the model parameters of the machine tool were obtained based on the hammer test method. A parallel orthogonal turn-milling stability lobe diagram (SLD) with tool tip runout was constructed. Finally, the experimental results were verified on a high-efficiency turn-milling machine tool. The results showed that chatter can be predicted for parallel orthogonal turn-milling and an SLD can provide a reference for the selection of machining parameters. In addition, the SLD can also guide the formulation of processing technology specifications. Our results are extremely significant for ongoing research in the field of machining methods.
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References
Turkes E, Orak S, Neşeli S, Sahin M, Selvi S (2017) Modelling of dynamic cutting force coefficients and chatter stability dependent on shear angle oscillation. Int J Adv Manuf Technol 91:679–686
Rusinek Rafałand Borowiec M (2015) Stability analysis of titanium alloy milling by multiscale entropy and Hurst exponent. Eur Phys J Plus 130:194
Siddhpura M, Siddhpura A, Paurobally R (2017) Chatter stability prediction for a flexible tool-workpiece system in a turning process. Int J Adv Manuf Technol 92:881–896
Taylor FW (1906) On the art of cutting metals... Am Soc Mech Eng
Tobias SA, Fishwick W (1958) Theory of regenerative machine tool chatter. Engineering 205:199–203
Tlusty J, Ismail F (1981) Basic non-linearity in machining chatter. CIRP Ann 30:299–304
Smith S, Tlusty J (1993) Efficient simulation programs for chatter in milling. CIRP Ann - Manuf Technol 42:463–466. https://doi.org/10.1016/S0007-8506(07)62486-X
Altıntas Y, Shamoto E, Lee P, Budak E (1999) Analytical prediction of stability lobes in ball end milling
Budak E, Altintas Y (1998) Analytical prediction of chatter stability in milling-part I: general formulation
Sun Y, Jiang S (2018) Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts. Int J Mach Tools Manuf 135:38–52
Faassen RPH, Van de Wouw N, Oosterling JAJ, Nijmeijer H (2003) Prediction of regenerative chatter by modelling and analysis of high-speed milling. Int J Mach Tools Manuf 43:1437–1446. https://doi.org/10.1016/S0890-6955(03)00171-8
Gagnol V, Bouzgarrou BC, Ray P, Barra C (2007) Model-based chatter stability prediction for high-speed spindles. Int J Mach Tools Manuf 47:1176–1186
Wang Z, Yang Y, Liu Y, Wu Y (2018) Prediction of time-varying chatter stability: effect of tool wear. Int J Adv Manuf Technol 99:2705–2716
Li ZQ, Liu Q (2006) Impact of modal parameters on milling process chatter stability lobes. J Wuhan Univ Technol 28:S190–S195
Clancy BE, Shin YC (2002) A comprehensive chatter prediction model for face turning operation including tool wear effect. Int J Mach Tools Manuf 42:1035–1044. https://doi.org/10.1016/S0890-6955(02)00036-6
Balachandran B (2001) Nonlinear dynamics of milling processes. Philos Trans R Soc London Ser A Math Phys Eng Sci 359:793–819
Balachandran B, Gilsinn D (2005) Non-linear oscillations of milling. Math Comput Model Dyn Syst 11:273–290
Long X, Balachandran B (2010) Stability of up-milling and down-milling operations with variable spindle speed. J Vib Control 16:1151–1168
Davies MA, Pratt JR, Dutterer BS, Burns TJ (2000) The stability of low radial immersion milling. CIRP Ann 49:37–40
Yan Z, Liu Z, Wang X, Liu B, Luo Z, Wang D (2016) Stability prediction of thin-walled workpiece made of Al7075 in milling based on shifted Chebyshev polynomials. Int J Adv Manuf Technol 87:115–124. https://doi.org/10.1007/s00170-016-8476-9
Li Z, Wang Z, Shi X, Li W (2018) RCSA-based prediction of chatter stability for milling process with large axial depth of cut. Int J Adv Manuf Technol 96:833–843
Dai Y, Li H, Hao B (2018) An improved full-discretization method for chatter stability prediction. Int J Adv Manuf Technol 96:3503–3510. https://doi.org/10.1007/s00170-018-1767-6
Singh KK, Singh R (2018) Chatter stability prediction in high-speed micromilling of Ti6Al4V via finite element based microend mill dynamics. Adv Manuf 6:95–106
Özşahin O, Budak E, Özgüven HN (2015) In-process tool point FRF identification under operational conditions using inverse stability solution. Int J Mach Tools Manuf 89:64–73
Balachandran B, Zhao MX (2000) Mechanics based model for study of dynamics of milling operations. Meccanica 35:89–109. https://doi.org/10.1023/A:1004887301926
Lazoğlu İ, Vogler M, Kapoor SG, DeVor RE (1998) Dynamics of the simultaneous turning process. Urbana 100:61801
Ozdoganlar OB, Endres WJ (1999) Parallel-process (simultaneous) machining and its stability. In: IMECE/ASME International Mechanical Engineering Congress and Exposition, Nashville, Tennessee, Nov. pp. 14–19
Brecher C, Epple A, Neus S, Fey M (2015) Optimal process parameters for parallel turning operations on shared cutting surfaces. Int J Mach Tools Manuf 95:13–19
Budak E, Comak A, Ozturk E (2013) Stability and high performance machining conditions in simultaneous milling. CIRP Ann 62:403–406
Ozturk E, Comak A, Budak E (2016) Tuning of tool dynamics for increased stability of parallel (simultaneous) turning processes. J Sound Vib 360:17–30
Budak E, Ozturk E (2011) Dynamics and stability of parallel turning operations. CIRP Ann 60:383–386
Brecher C, Trofimov Y, Bäumler S (2011) Holistic modelling of process machine interactions in parallel milling. CIRP Ann 60:387–390
Azvar M, Budak E (2017) Multi-dimensional chatter stability for enhanced productivity in different parallel turning strategies. Int J Mach Tools Manuf 123:116–128
Yan Y, Xu J, Wiercigroch M (2018) Stability and dynamics of parallel plunge grinding. Int J Adv Manuf Technol 99:881–895
Balachandran B, Zhao MX (2000) A mechanics based model for study of dynamics of milling operations. Meccanica 35:89–109
Acknowledgments
The authors would also like to thank Mr. Zhenwei Jiang and Ms. Hui Li (Northwest Industrial Group) for assistance with the experiments.
Funding
The authors are very grateful for the financial support of the National Natural Science Foundation of China (51805035), National Pre-Research Project (NO.41423020201), Graduate Technology Innovation Project Beijing of Institute of Technology (NO.2018CX20021), and Major Special Fund of Shandong Province (2017CXGC0801).
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Zheng, Z., Jin, X., Sun, Y. et al. Prediction of chatter stability for enhanced productivity in parallel orthogonal turn-milling. Int J Adv Manuf Technol 110, 2377–2388 (2020). https://doi.org/10.1007/s00170-020-06015-0
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DOI: https://doi.org/10.1007/s00170-020-06015-0