Advertisement

Frequency Response Studies using Receptance Coupling Approach in High Speed Spindles

  • Jakeer Hussain Shaik
  • K. RamakotaiahEmail author
  • J. Srinivas
Original Contribution
  • 135 Downloads

Abstract

In order to assess the stability of high speed machining, estimate the frequency response at the end of tool tip is of great importance. Evaluating dynamic response of several combinations of integrated spindle-tool holder-tool will consume a lot of time. This paper presents coupled field dynamic response at tool tip for the entire integrated spindle tool unit. The spindle unit is assumed to be relying over the front and rear bearings and investigated using the Timoshenko beam theory to arrive the receptances at different locations of the spindle-tool unit. The responses are further validated with conventional finite element model as well as with the experiments. This approach permits quick outputs without losing accuracy of solution and further these methods are utilized to analyze the various design variables on system dynamics. The results obtained through this analysis are needed to design the better spindle unit in an attempt to reduce the frequency amplitudes at the tool tip to improvise the milling stability during cutting process.

Keywords

Receptances-coupling Tool-tip frequency response Flexible spindle housing Finite element modelling Experimental modal analysis 

References

  1. 1.
    I. Garitaonandia, M.H. Fernandes, J.M. Hernandez-Vazquez, J.A. Ealo, Prediction of dynamic behavior for different configurations in a drilling–milling machine based on substructuring analysis. J. Sound Vib. 365, 70–88 (2016)CrossRefGoogle Scholar
  2. 2.
    M. Mehrpouya, M. Sanati, S.S. Park, Identification of joint dynamics in 3D structures through the inverse receptance coupling method. Int. J. Mech. Sci. 105, 135–145 (2016)CrossRefGoogle Scholar
  3. 3.
    K. Kiran, H. Satyanarayana, T. Schmitz, Compensation of frequency response function measurements by inverse RCSA. Int. J. Mach. Tools Manuf 121, 96–100 (2017)CrossRefGoogle Scholar
  4. 4.
    S.N. Joshi, G. Bolar, Three-Dimensional finite element based numerical simulation of machining of thin-wall components with varying wall constraints. J. Inst. Eng. (India): Ser. C. 98(3), 343–352 (2017)Google Scholar
  5. 5.
    J.P. Hung, Y.L. Lai, T.L. Luo, H.C. Su, Analysis of the machining stability of a milling machine considering the effect of machine frame structure and spindle bearings: experimental and finite element approaches. Int. J. Adv Manuf. Technol. 68, 2393–2405 (2013)CrossRefGoogle Scholar
  6. 6.
    S.P. Tewari, N. Rathod, Effect of force frequency increase on depth of Cut. J. Inst. Eng (India): Ser. C. 93(1), 47–53 (2012)Google Scholar
  7. 7.
    T.L. Schmitz, G.S. Duncan, Receptance coupling for dynamics prediction of assemblies with coincident neutral axes. J. Sound Vib. 289, 1045–1065 (2006)CrossRefGoogle Scholar
  8. 8.
    M.R. Movahhedy, J.M. Gerami, Prediction of spindle dynamics in milling by sub-structure coupling. Int. J. Mach. Tools Manuf. 46, 243–251 (2006)CrossRefGoogle Scholar
  9. 9.
    A. Erturk, H.N. Ozguven, E. Budak, Analytical modelling of spindle-tool dynamics on machine tools using Timoshenko beam model and receptance coupling for the prediction of tool point FRF. Int. J. Mach. Tools Manuf. 46(15), 1901–1912 (2006)CrossRefGoogle Scholar
  10. 10.
    T.L. Schmitz, K.P. Won, G.S. Duncan, W.G. Sawyer, J.C. Ziegert, Shrink fit tool holder connection stiffness/damping modelling for frequency response prediction in milling. Int. J. Mach. Tools Manuf. 47, 1368–1380 (2007)CrossRefGoogle Scholar
  11. 11.
    L. Zhongqun, L. Shuo, C. Yizhuang, Receptance coupling for end mill using 2-section step beam vibration model, in Second international conference on intelligent computation technology and automation. IEEE.  https://doi.org/10.1109/ICICTA.2009.276 (2009)
  12. 12.
    T.L. Schmitz, Torsional and axial frequency response prediction by RCSA. Precis. Eng. 34, 345–356 (2010)CrossRefGoogle Scholar
  13. 13.
    Z. Jun, T. Schmitz, Z. Wanhua, L.U. Bingheng, Receptance coupling for tool point dynamics prediction on machine tools. Chin. J. Mech. Eng. 24, 340–345 (2011)CrossRefGoogle Scholar
  14. 14.
    U.V. Kumar, T.L. Schmitz, Spindle dynamics identification for receptance coupling substructure analysis. Precis. Eng. 36, 435–443 (2012)CrossRefGoogle Scholar
  15. 15.
    S. Filiz, C.H. Cheng, K. Powell, T. Schmitz, O. Ozdoganlar, An improved tool–holder model for RCSA tool point frequency response prediction. Precis. Eng. 33, 26–36 (2009)CrossRefGoogle Scholar
  16. 16.
    P. Albertelli, M. Goletti, M. Monno, A new receptance coupling substructure analysis methodology to improve chatter-free cutting conditions prediction. Int. J. Mach. Tools Manuf. 72, 16–24 (2013)CrossRefGoogle Scholar
  17. 17.
    I. Mancisidor, A. Urkiola, R. Barcena, J. Munoa, Z. Dombovan, M. Zatarain, Receptance coupling for tool point dynamic prediction by fixed boundaries approach. Int. J. Mach Tools Manuf. 78, 18–29 (2014)CrossRefGoogle Scholar
  18. 18.
    M. Leonesioa, P. Parentib, G. Bianchia, Frequency domain identification of grinding stiffness and damping. Mech. Syst. Signal Process. 93, 545–558 (2017)CrossRefGoogle Scholar
  19. 19.
    V. Tanuja, A. Chatterjee, Wavelet analysis of acceleration response of beam under the moving mass for damage assessment. J. Inst. Eng. (India): Ser. C. 97, 209–221 (2016)Google Scholar
  20. 20.
    G. Chakraborty, On response of a single-degree-of-freedom oscillator with constant hysteretic damping under arbitrary excitation. J. Inst. Eng. (India): Ser. C. 97, 579–582 (2016)Google Scholar
  21. 21.
    F. Montevecchi, N. Grossi, A. Scippa, G. Campatelli, Improved RCSA technique for efficient tool-tip dynamics prediction. Precis. Eng. 44, 152–162 (2016)CrossRefGoogle Scholar

Copyright information

© The Institution of Engineers (India) 2018

Authors and Affiliations

  • Jakeer Hussain Shaik
    • 1
  • K. Ramakotaiah
    • 1
    Email author
  • J. Srinivas
    • 2
  1. 1.Department of Mechanical EngineeringKKR and KSR Institute of TechnologyGunturIndia
  2. 2.Department of Mechanical EngineeringNational Institute of TechnologyRourkelaIndia

Personalised recommendations