Volume 2 Issue 4
Jun.  2022
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Xiaowei ZHENG, Huaguang QIU, Yesheng CHEN, Jun ZHANG, Wanhua ZHAO. Finite strip dynamic modeling of thin-walled aircraft parts[J]. Journal of Advanced Manufacturing Science and Technology , 2022, 2(4): 2022017. doi: 10.51393/j.jamst.2022017
Citation: Xiaowei ZHENG, Huaguang QIU, Yesheng CHEN, Jun ZHANG, Wanhua ZHAO. Finite strip dynamic modeling of thin-walled aircraft parts[J]. Journal of Advanced Manufacturing Science and Technology , 2022, 2(4): 2022017. doi: 10.51393/j.jamst.2022017

Finite strip dynamic modeling of thin-walled aircraft parts

doi: 10.51393/j.jamst.2022017
Funds:

This research was financially supported by the National Key R&D Program of China (No.2018YFB1701901).

  • Received Date: 2022-04-02
  • Accepted Date: 2022-05-05
  • Rev Recd Date: 2022-04-19
  • Available Online: 2022-05-09
  • Publish Date: 2022-05-09
  • Aerospace thin-walled parts are characterized by large material removal rate and poor workpiece rigidity. It is very easy to occur chattering phenomenon during milling processing, which affects the machining efficiency and quality of the workpiece. Before cutting thin-walled parts, dynamic modeling and analysis are needed to extract the modal parameters of the contact area between tool and workpiece to predict the forced vibration and avoid the chatter. In this paper, the finite strip method for dynamic modeling and analysis is derived, and then used to predict the frequency response function at the weak point of the parts. The corresponding T-type and B-type test parts are designed, and the accuracy of the model calculation results is verified by modal hammer test. By comparing the modeling calculation results with the experimental test results, it is found that the frequency calculation errors of the dominant mode of frequency response function at the weak point of the thin-wall parts are all less than 3% and the amplitude calculation errors are all less than 7%. Therefore, the finite strip dynamic modeling method proposed can be used to predict the frequency response function of thin-walled parts.
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  • [1]
    . Fei JX, Xu FF, Lin B, et al. State of the art in milling process of the flexible workpiece. Int J Adv Manuf Technol 2020;109(5–6):1695–1725.
    [2]
    . Dang XB, Wan M, Yang Y. Prediction and suppression of chatter in milling of structures with low-rigidity: a review. J Adv Manuf Sci Technol 2021;1(3):2021010.
    [3]
    . Niu JB, Xu JT, Ren F, et al. A short review on milling dynamics in low-stiffness cutting conditions: Modeling and analysis. J Adv Manuf Sci Technol 2021;1(1):2020004.
    [4]
    . Song QH, Ai X, Tang WX. Prediction of simultaneous dynamic stability limit of time–variable parameters system in thin-walled workpiece high-speed milling processes. Int J Adv Manuf Technol 2011;55(9–12):883–889.
    [5]
    . Stepan G, Kiss AK, Ghalamchi B, et al. Chatter avoidance in cutting highly flexible workpieces. CIRP Ann 2017;66(1):377–380.
    [6]
    . Wang DQ, Löser M, Ihlenfeldt S, 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.
    [7]
    . Budak E, Tunç LT, Alan S, et al. Prediction of workpiece dynamics and its effects on chatter stability in milling. CIRP Ann 2012;61(1):339–342.
    [8]
    . Song QH, Liu ZQ, Wan Y, et al. Application of Sherman-Morrison-Woodbury formulas in instantaneous dynamic of peripheral milling for thin-walled component. Int J Mech Sci 2015;96–97: 79–90.
    [9]
    . Tuysuz O, Altintas Y. Frequency domain updating of thin-walled workpiece dynamics using reduced order substructuring method in machining. J Manuf Sci Eng 2017;139(7):071013.
    [10]
    . Tuysuz O, Altintas Y. Time-domain modeling of varying dynamic characteristics in thin-wall machining using perturbation and reduced-order substructuring methods. J Manuf Sci Eng 2018;140(1):011015.
    [11]
    . Yang Y, Zhang WH, Ma YC, 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.
    [12]
    . Yang Y. Dynamic modelling and chatter stability prediction of the milling process of thin-walled workpiece [dissertation]. Xi’an: Northwestern Polytechnical University; 2016.
    [13]
    . Meshreki M, Attia H, Kövecses J. A new analytical formulation for the dynamics of multipocket thin-walled structures considering the fixture constraints. J Manuf Sci Eng 2011;133(2):021014.
    [14]
    . Meshreki M, Attia H, Kövecses J. Development of a new model for the varying dynamics of flexible pocket-structures during machining. J Manuf Sci Eng 2011;133(4):041002.
    [15]
    . Ahmadi K. Finite strip modeling of the varying dynamics of thin-walled pocket structures during machining. Int J Adv Manuf Technol 2017;89(9–12):2691–2699.
    [16]
    . Stefani J, Ahmadi K, Tuysuz O. Finite strip modeling of the varying dynamics of shell-like structures during machining processes. J Manuf Sci Eng 2018;140(4):041015.
    [17]
    . Ren S, Long XH, Meng G. Dynamics and stability of milling thin walled pocket structure. J Sound Vib 2018;429: 325–347.
    [18]
    . Ren S, Long XH, Qu YG, et al. A semi-analytical method for stability analysis of milling thin-walled plate. Meccanica 2017;52(11–12):2915–2929.
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