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A new measurement system to determine stiffness distribution in machine tool workspace

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an innovative system determining machine tool quasi-static stiffness in machining space, so-called Stiffness Workspace System (SWS). The system allows for the assessment of the accuracy of a machine which has become a vital aspect over past years for machine tool manufacturers and users. Since machine tools static stiffness is one of the main criteria using to evaluate the machines' quality, it is crucial to highlight the relevance of experimental and analytical stiffness determination methods. Therefore, the proposed method is applied to estimate the spatial variation of static stiffness in the machine tool workspace. This paper describes the SWS system-its design, working principle, mounting conditions and signal processing. The major advantage of the system is the capability to apply forces of controlled magnitude and orientation as well as simultaneously measure the resulting displacements. The obtained results give possibility to estimate and evaluate static stiffness coefficients depending on the position and direction under loaded conditions. The results confirm the validity of the analyses of spatial stiffness distribution in the machine workspace.
Rocznik
Strony
157--168
Opis fizyczny
Bibliogr. 23 poz., fot., rys., wykr.
Twórcy
  • Department of Mechatronics, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland
  • Department of Mechatronics, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland
  • Environmental Measurement Laboratory, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland
  • Department of Production Management, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland
Bibliografia
  • [1] Archenti A, Nicolescu M, Casterman G, Hjelm S. A new method for circular testing of machine tools Under loaded condition. Proc CIRP. 2012;1:575–80. https ://doi.org/10.1016/j.proci r.2012.05.002.
  • [2] ISO 230–1:2012, Test code for machine tools. Part 1: geometric accuracy of machines operations under no-load or finishing conditions, ISO, Geneva (2017).
  • [3] ISO 10791–7:2020 Test conditions for machining centres - Part 7: Accuracy of finished test pieces, ISO, Geneva (2020).
  • [4] Te-Yen HD, Lee J-J. On obtaining machine tool stiffness by CAE techniques. Int J Mach Tools Manuf. 2001;41:1149–63. https ://doi.org/10.1016/S0890 -6955(01)00012 -8.
  • [5] Jastrzębski D. Modelling of static properties of load-carrying system of machines tools using hybrid finite element method. Adv Manuf Sci Technol. 2008;32(1):9–28.
  • [6] Jastrzębski D. Application of the hybrid finite element method in modeling of static properties of machine tools load-carrying subsystems. Adv Manuf Sci Technol. 2008;32(2):5–20.
  • [7] Salgado MA, López de Lacalle LN, et al. Evaluation of the stiffness chain on the deflection of end-mills under cutting forces. Int J Mach Tools Manuf. 2005;45(6):727–39. https ://doi.org/10.1016/j.ijmac htool s.2004.08.023.
  • [8] Dunaj P, Berczyński S, Pawełko P, et al. Static condensation in modeling roller guides with preload. Arch Civ Mech Eng. 2019;19(4):1072–82. https ://doi.org/10.1016/j.acme.2019.06.005.
  • [9] Wu J, Wang J, et al. Study on the stiffness of the 5-DOF hybrid machine tool with actuation redundancy. Mech Mach Theory. 2009;44(2):289–305. https ://doi.org/10.1016/j.mechm achth eory.2008.10.00.
  • [10] Albrecht A, Park S, Altintas Y, Pritshow G. High frequency band-width cutting force measurement in milling using capacitance displacement sensors. Int J Mach Tools Manuf. 2005;45(9):993–1008. https ://doi.org/10.1016/j.ijmac htool s.2004.11.028.
  • [11] Sarhan A, Matsubara A. Investigation about the characterization of machine tool spindle stiffness for intelligent CNC end milling. Rob Comp Integr Manuf. 2015;34:133–9. https ://doi.org/10.1016/j.rcim.2014.12.001.
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  • [13] Matsubara A, Sawamura R, Asano K, Muraki T. Non-contact measurement of dynamic stiffness of rotating spindle. Proc CIRP. 2014;14:84–487. https ://doi.org/10.1016/j.proci r.2014.03.012.
  • [14] Rantatalo M, Aidanpaa J, et al. Milling machine spindle analysis using FEM and non-contact spindle excitation and response measurement. Int J Mach Tools Manuf. 2007;47(7–8):1034–45. https ://doi.org/10.1016/j.ijmac htool s.2006.10.004.
  • [15] Gao X, Li B, Hong J, Guo J. Stiffness modeling of machine tools based on machining space analysis. Int J Adv Manuf Technol. 2016;86:2093–106. https ://doi.org/10.1007/s0017 0-015-8336-z.
  • [16] Archenti A, Nicolescu M. A top-down equivalent stiffness approach for prediction of deviation sources in machine tool joints. CIRP Ann Manuf Technol. 2017;66:487–90. https ://doi.org/10.1016/j.cirp.2017.04.066.
  • [17] Szipka K, Laspas T, Archenti A. Measurement and analysis of machine tool errors under quasi-static and loaded conditions. Preci Eng. 2018;51:59–67. https ://doi.org/10.1016/j.preci sione ng.2017.07.011.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ffb6910d-3f0d-4442-aba1-e9b2a55ca0b6
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