TY - JOUR
T1 - Effect of the coupling strength on the nonlinear synchronization of a single-stage gear transmission
AU - González-Cruz, C. A.
AU - Jáuregui-Correa, J. C.
AU - Domínguez-González, A.
AU - Lozano-Guzmán, A.
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media Dordrecht.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - This paper discusses a study of the synchronization phenomenon of a single-stage gear transmission. The analysis is based on numerical and experimental data. Numerical data were obtained from a 4-DOF lumped-mass model which includes the housing stiffness as a linear spring. Experimental data were acquired from a gearbox with soft housing. Both numerical and experimental data were analyzed by different signal processing techniques: the continuous wavelet transform, the phase diagram, the synchronization error diagram, the Kuramoto’s order parameter, and statistical descriptors, such as the mean value, standard deviation, and kurtosis. Statistical descriptors were used to quantify the synchronization degree. It was found that the kurtosis increases as the system becomes more synchronized. The numerical results show that if the coupling strength is sufficiently weak, there is no synchronization; if it reaches a certain threshold, the mechanical elements synchronize; and if it is too stiff, the synchronization ceases. In the case of the experimental data, results indicate a high degree of synchronization. Finally, through analysis of the power spectral density, it was found that the cyclic loading increases 40 % due to synchronization.
AB - This paper discusses a study of the synchronization phenomenon of a single-stage gear transmission. The analysis is based on numerical and experimental data. Numerical data were obtained from a 4-DOF lumped-mass model which includes the housing stiffness as a linear spring. Experimental data were acquired from a gearbox with soft housing. Both numerical and experimental data were analyzed by different signal processing techniques: the continuous wavelet transform, the phase diagram, the synchronization error diagram, the Kuramoto’s order parameter, and statistical descriptors, such as the mean value, standard deviation, and kurtosis. Statistical descriptors were used to quantify the synchronization degree. It was found that the kurtosis increases as the system becomes more synchronized. The numerical results show that if the coupling strength is sufficiently weak, there is no synchronization; if it reaches a certain threshold, the mechanical elements synchronize; and if it is too stiff, the synchronization ceases. In the case of the experimental data, results indicate a high degree of synchronization. Finally, through analysis of the power spectral density, it was found that the cyclic loading increases 40 % due to synchronization.
KW - Continuous wavelet transform
KW - Housing stiffness
KW - Kuramoto’s order parameter
KW - Kurtosis
KW - Nonlinear dynamics
KW - Synchronization
KW - Synchronization error
UR - http://www.scopus.com/inward/record.url?scp=84958748857&partnerID=8YFLogxK
U2 - 10.1007/s11071-016-2673-9
DO - 10.1007/s11071-016-2673-9
M3 - Artículo
SN - 0924-090X
VL - 85
SP - 123
EP - 140
JO - Nonlinear Dynamics
JF - Nonlinear Dynamics
IS - 1
ER -