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The clamping selection method to reduce the vibration of large-size workpieces during the face milling process

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Języki publikacji
EN
Abstrakty
EN
The article introduces a method for selecting the best clamping conditions to obtain vibration reduction during the milling of large-size workpieces. It is based on experimental modal analysis performed for a set of assumed, fixing conditions of a considered workpiece to identify frequency response functions (FRFs) for each tightening torque of the mounting screws. Simulated plots of periodically changing nominal cutting forces are then calculated. Subsequently, by multiplying FRF and spectra of cutting forces, a clamping selection function (CSF) is determined, and, thanks to this function, vibration root mean square (RMS) is calculated resulting in the clamping selection indicator (CSI) that indicates the best clamping of the workpiece. The effectiveness of the method was evidenced by assessing the RMS value of the vibration level observed in the time domain during the real-time face milling process of a large-sized exemplary item. The proposed approach may be useful for seeking the best conditions for fixing the workpiece on the table.
Rocznik
Strony
art. no. e148840
Opis fizyczny
Bibliogr 24 poz., rys., tab.
Twórcy
  • Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Institute of Mechanics and Machine Design, Gdansk, 80-233, Poland
  • Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Institute of Mechanics and Machine Design, Gdansk, 80-233, Poland
  • Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Institute of Mechanics and Machine Design, Gdansk, 80-233, Poland
  • Warsaw University of Technology, Faculty of Mechanical and Industrial Engineering, Institute of Manufacturing Processes, Warsaw, 00-661, Poland
  • Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Institute of Mechanics and Machine Design, Gdansk, 80-233, Poland
Bibliografia
  • [1] J. Fei, F. Xu, B. Lin, and T. Huang, “State of the art in milling process of the flexible workpiece,” Int. J. Adv. Manuf. Tech., vol. 109, pp. 1695–1725, 2020, doi: 10.1007/s00170-020-05616-z.
  • [2] G. Li, S. Du, B. Wang, J. Lv, and Y. Deng, “High Definition Metrology-Based Quality Improvement of Surface Texture in Face Milling of Workpieces with Discontinuous Surfaces,” J. Manuf. Sci Eng.-Trans. ASME., vol. 144, p. 031001, 2022. doi: 10.1115/1.4051883.
  • [3] D. Li, H. Cao, J. Liu, X. Zhang, and X. Chen, “Milling chatter control based on asymmetric stiffness,” Int. J. Mach. Tools. Manuf., vol. 147, p. 103458, 2019, doi: 10.1016/j.ijmachtools.2019.103458.
  • [4] H. Liu et al., “Pretightening sequence planning of anchor bolts based on structure uniform deformation for large CNC machine tools,” Int. J. Mach. Tools. Manuf., vol. 136, pp. 1–18, 2019, doi: 10.1016/j.ijmachtools.2018.09.002.
  • [5] G. Li, S. Du, D. Huang, C. Zhao, and Y. Deng. “Elastic mechanics-based fixturing scheme optimization of variable stiffness structure workpieces for surface quality improvement,” Precis Eng., vol. 56, pp. 343–363, 2019, doi: 10.1016/j.precisioneng.2019.01.004.
  • [6] Y. Xiao, Z. Jiang, Q. Gu, W. Yan, and R. Wang, “A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost,” J. Manuf Syst., vol. 59, pp. 535–548, 2021, doi: 10.1016/j.jmsy.2021.03.023.
  • [7] X. Zhang, T. Yu, Y. Dai, S. Qu, and J. Zhao, “Energy consumption considering tool wear and optimization of cutting parameters in micro milling process,” Int. J. Mech. Sci., vol. 178, pp. 105628, 2020, doi: 10.1016/j.ijmecsci.2020.105628.
  • [8] K.J. Kaliński, M.A. Galewski, M.R. Mazur, and N. Morawska, “A technique of experiment aided virtual prototyping to obtain the best spindle speed during face milling of large-size structures,” Meccanica, vol. 56, pp. 825–840, 2021, doi: 10.1007/s11012-020-01214-1.
  • [9] A. Rubio-Mateos, A. Rivero, E. Ukar, and A. Lamikiz, “Influence of elastomer layers in the quality of aluminum parts on finishing operations,” Metals, vol. 8, p. 289, 2020, doi: 10.3390/met10020289.
  • [10] I. Del Sol, A. Rivero, L. N. López de Lacalle, and A.J. Gamez, “Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches,” Materials, vol. 12, p. 2201, 2019, doi: 10.3390/ma1212201.
  • [11] M. Meshreki, H. Attia, and J. Kövecses, “Development of a new model for the varying dynamics of flexible pocket-structures during machining,” J. Manuf. Sci. Eng., vol. 133, p. 041002, 2011, doi: 10.1115/1.4004322.
  • [12] A. Mahmud, J.R.R. Mayer, and L. Baron, “Magnetic attraction forces between permanent magnet group arrays in a mobile magnetic clamp for pocket machining,” CIRP J. Manuf. Sci. Technol., vol. 11, pp. 82–88, 2105, doi: 10.1016/j.cirpj.2015.08.005.
  • [13] M. Wan, X.-B. Dang, W.-H. Zhang, and Y. Yang, “Chatter suppression in the milling process of the weakly-rigid workpiece through a moving fixture,” J. Mat. Proc. Techn., vol. 299, 2022, 117293, doi: 10.1016/j.jmatprotec.2021.117293.
  • [14] G. Weicheng, Z. Yong, J. Xiaohui, Y. Ning, W. Kun, and L. Xiao, “Improvement of stiffness during milling thin-walled workpiece based on mechanical/magnetorheological composite clamping,” J. Manuf. Process., vol. 68, pp. 1047–1059, 2021, doi: 10.1016/j.jmapro.2021.06.039.
  • [15] Y. Cai, Z. Zhang, X. Xi, and D. Zhao, “A Deformation Control Method in Thin-Walled Parts Machining Based on Force and Stiffness Matching Via Cutter Orientation Optimization,” J. Manuf. Sci. Eng., vol. 145, 2023.
  • [16] Z.Y. Liu et al., “Energy consumption characteristics in finish hard milling,” J. Manuf. Process., vol. 35, pp. 500–507, 2018, doi: 10.1016/j.jmapro.2018.08.036.
  • [17] M. Casuso, A. Rubio-Mateos, F. Veiga, and A. Lamikiz, “Influence of Axial Depth of Cut and Tool Position on Surface Quality and Chatter Appearance in Locally Supported Thin Floor Milling,” Materials, vol. 15, p. 731, 2022, doi: 10.3390/ma15030731.
  • [18] D.Y. Pimenov, M. Kumar Gupta, L.R.R. da Silva, M. Kiran, N. Khanna, and G.M. Krolczyk, “Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach,” Measurement, vol. 199, p. 1503, 2022, doi: 10.1016/j.measurement.2022.111503.
  • [19] N. Stawicka-Morawska, “The method of selecting the stiffness of fastening a large-size workpiece in application to vibration reduction during milling with multi-edge tools”, PhD Thesis, Gdańsk University of Technology, 2022. (in Polish)
  • [20] K.J. Kaliński, N. Stawicka-Morawska, M.A. Galewski, and M.R. Mazur. “A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process,” Sci Rep., vol. 11, p. 20773, 2021, doi: 10.1038/s41598-021-00128-6.
  • [21] S. Zeng, X. Wan, W. Li, Z. Yin, and Y. Xiong, “A novel approach to fixture design on suppressing machining vibration of flexible workpiece,” Int. J. Mach. Tools. Manuf., vol. 58, pp. 29–43, 2012, doi: 10.1016/j.ijmachtools.2012.02.008.
  • [22] G. Li, S. Du, D. Huang, C. Zhao, and Y. Deng, “Elastic mechanics-based fixturing scheme optimization of variable stiffness structure workpieces for surface quality improvement,” Prec. Eng., vol. 56, pp. 343–363, 2019, doi: 10.1016/j.precisioneng.2019.01.004.
  • [23] K. Kaliński, “The finite element method application to linear closed loop steady system vibration analysis,” Int. J. Mech. Sci., vol. 39, pp. 315–330, 1997, doi: 10.1016/S0020-7403(96)00032-X.
  • [24] M.A. Galewski, “Application of the LabVIEW environment for experimental modal analysis support,” in From Finite Element Method to Mechatronics. K.J. Kalinski, K. Lipinski, Eds., Gdansk: The Publication of Gdansk University of Technology, 2017, pp. 105–118. (in Polish)
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-156a5900-a03f-4121-afe7-2163b853a6ff
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