Abstract
Parametric uncertainties play a critical role in the response predictions of a gear system. However, accurately determining the effects of the uncertainty propagation in nonlinear time-varying models of gear systems is awkward and difficult. This paper improves the interval harmonic balance method (IHBM) to solve the dynamic problems of gear systems with backlash nonlinearity and time-varying mesh stiffness under uncertainties. To deal with the nonlinear problem including the fold points and uncertainties, the IHBM is improved by introducing the pseudo-arc length method in combination with the Chebyshev inclusion function. The proposed approach is demonstrated using a single-mesh gear system model, including the parametrically varying mesh stiffness and the gear backlash nonlinearity, excited by the transmission error. The results of the improved IHBM are compared with those obtained from the scanning method. Effects of parameter uncertainties on its dynamic behavior are also discussed in detail. From various numerical examples, it is shown that the results are consistent meanwhile the computational cost is significantly reduced. Furthermore, the proposed approach could be effectively applied for sensitivity analysis of the system response to parameter variations.
Similar content being viewed by others
References
Ozguven, H.N., Houser, D.R.: Mathematical models used in gear dynamics—a review. J. Sound Vib. 121(3), 383–411 (1988)
Wang, J., Li, R., Peng, X.: Survey of nonlinear vibration of gear transmission systems. Appl. Mech. Rev. 56(3), 309–329 (2003)
Pernot, S., Lamarque, C.H.: A wavelet balance method to investigate the vibrations of nonlinear dynamical systems. Nonlinear Dyn. 32(1), 33–70 (2003)
Chung, K., Liu, Z.: Nonlinear analysis of chatter vibration in a cylindrical transverse grinding process with two time delays using a nonlinear time transformation method. Nonlinear Dyn. 66(4), 441–456 (2011)
Valipour, M., Banihabib, M.E., Behbahani, S.M.R.: Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir. J. Hydrol. 476, 433–441 (2013)
Valipour, M.: Comparison of surface irrigation simulation models: full hydrodynamic, zero inertia, kinematic wave. J. Agric. Sci. 4(12), 68–74 (2012)
Valipour, M.: Comparative evaluation of radiation-based methods for estimation of potential evapotranspiration. J. Hydrol. Eng. 20(5), 04014068-1-14 (2014)
Jiang, Y., Zhu, H., Li, Z., Peng, Z.: The nonlinear dynamics response of cracked gear system in a coal cutter taking environmental multi-frequency excitation forces into consideration. Nonlinear Dyn. 84(1), 203–222 (2016)
Zhu, W., Wu, S.J., Wang, X.S., Peng, Z.M.: Harmonic balance method implementation of nonlinear dynamic characteristics for compound planetary gear sets. Nonlinear Dyn. 81(3), 1511–1522 (2015)
Liu, G., Parker, R.G.: Nonlinear dynamics of idler gear systems. Nonlinear Dyn. 53(4), 345–367 (2008)
Tobe, T., Sato, K.: Statistical analysis of dynamic loads on spur gear teeth: experimental study. Bull JSME 20(148), 1315–1320 (1977)
Tobe, T., Sato, K.: Statistical analysis of dynamic loads on spur gear teeth. Bull JSME 20(145), 882–889 (1977)
Kumar, A.S., Osman, M., Sankar, T.S.: On statistical analysis of gear dynamic loads. J. Vib. Acoust. Stress Reliab. Des. 108, 362–368 (1986)
Wang, Y., Zhang, W.J.: Stochastic vibration model of gear transmission systems considering speed-dependent random errors. Nonlinear Dyn. 17(2), 187–203 (1998)
Naess, A., Kolnes, F.E., Mo, E.: Stochastic spur gear dynamics by numerical path integration. J. Sound Vib. 302(4–5), 936–950 (2007)
Mo, E., Naess, A.: Nonsmooth dynamics by path integration: an example of stochastic and chaotic response of a meshing gear pair. J. Comput. Nonlinear Dyn. 4(3), 34501–34512 (2009)
Yang, J.: Vibration analysis on multi-mesh gear-trains under combined deterministic and random excitations. Mech. Mach. Theory 59, 20–33 (2013)
Bonori, G., Pellicano, F.: Non-smooth dynamics of spur gears with manufacturing errors. J. Sound Vib. 306(1–2), 271–283 (2007)
Moore, R.E., Kearfott, R.B., Cloud, M.J.: Introduction to Interval Analysis. Society for Industrial Mathematics, Philadelphia (2009)
Xia, Y., Qiu, Z., Friswell, M.I.: The time response of structures with bounded parameters and interval initial conditions. J. Sound Vib. 329(3), 353–365 (2010)
MV, Rama Rao, Pownuk, A., Vandewalle, S., Moens, D.: Transient response of structures with uncertain structural parameters. Struct. Saf. 32(6), 449–460 (2010)
Qiu, Z., Wang, X.: Parameter perturbation method for dynamic responses of structures with uncertain-but-bounded parameters based on interval analysis. Int. J. Solids Struct. 42(18–19), 4958–4970 (2005)
Ma, Y., Liang, Z., Chen, M., Hong, J.: Interval analysis of rotor dynamic response with uncertain parameters. J. Sound Vib. 332, 3869–3880 (2013)
Wei, S., Zhao, J., Han, Q., Chu, F.: Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty. Renew. Energy 78, 60–67 (2015)
Wei, S., Han, Q., Peng, Z., Chu, F.: Dynamic analysis of parametrically excited system under uncertainties and multi-frequency excitations. Mech. Syst. Signal Process. 72–73, 762–784 (2016)
Qiu, Z., Ma, L., Wang, X.: Non-probabilistic interval analysis method for dynamic response analysis of nonlinear systems with uncertainty. J. Sound Vibr. 319(1–2), 531–540 (2009)
Li, S., Kahraman, A.: Influence of dynamic behaviour on elastohydrodynamic lubrication of spur gears. Proc. Inst. Mech. Eng. Part J J. Eng. Tribol. 225(8), 740–753 (2011)
Cameron, T.M., Griffin, J.H.: An alternating frequency/time domain method for calculating the steady-state response of nonlinear dynamic systems. J. Appl. Mech. 56(1), 149–154 (1989)
Sarrouy, E., Sinou, J.J.: Advances in vibration analysis research. In: Non-Linear Periodic and Quasi-Periodic Vibrations in Mechanical Systems - On the use of the Harmonic Balance Methods, pp. 419–434. InTech (2011). doi:10.5772/15638
Wu, J., Zhang, Y., Chen, L., Luo, Z.: A Chebyshev interval method for nonlinear dynamic systems under uncertainty. Appl. Math. Model. 37, 4578–4591 (2013)
Wu, J., Luo, Z., Zhang, Y., Zhang, N., Chen, L.: Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions. Int. J. Numer. Methods Eng. 95(7), 608–630 (2013)
Acknowledgements
The research work was supported by the Natural Science Foundation of China under Grant Nos. 11472170, 11632011, 51335006 and the China Postdoctoral Science Foundation under Grant No. 2016M601585.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wei, S., Han, Q.K., Dong, X.J. et al. Dynamic response of a single-mesh gear system with periodic mesh stiffness and backlash nonlinearity under uncertainty. Nonlinear Dyn 89, 49–60 (2017). https://doi.org/10.1007/s11071-017-3435-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-017-3435-z