1. Introduction
The vibration of gear transmission is caused by changes in meshing stiffness, backlash, meshing error, and other factors. In early research on the time-varying stiffness of gears, a cantilever beam with a varying cross-section was used as the model to slice the teeth, and the elastic deformation of gears was studied by material mechanics. Common methods are the Ishikawa method and the energy method [
1]. With the development of finite element methods and computer technology, the finite element method has been widely used to calculate the load-bearing contact of gears. When Dou et al. [
2] studied the bending–torsional coupling vibration of a high-speed gear rotor system, the dynamic equation was established by the lumped mass method, which considered the average meshing stiffness of helical gears, rather than the time-varying meshing stiffness, and did not consider the influence of shaft deformation. Wei [
3] used the improved Euler–Bernoulli beam as the theoretical model of the shaft segment element. The input stiffness is the average meshing stiffness of the helical gear meshing element obtained by the slice method, and the undamped natural frequency and amplitude–frequency response were calculated.
Sun [
4] studied the vibration characteristics of a compressor rotor system with gear transmission; considered four different types of meshing stiffness; and analyzed the influence of the change in gear meshing stiffness on the inherent characteristics, stability and vibration response of the gear rotor system.
Yue [
5] developed a nonlinear dynamic model of a herringbone gear system incorporating multi-state meshing, friction, and backlash; analyzed its dynamic stability using Poincaré maps and bifurcation diagrams; and investigated the influence of meshing frequency, transmission error, damping, load, and backlash on the system’s vibration characteristics and dynamic stability rate. Li [
6] established a finite element model of the induced draft fan shaft system, in which the gear meshing part adopts a general three-dimensional helical gear dynamic model, and a pair of gear pairs has 12 degrees of freedom. The fixed interface method was used to study the nonlinear vibration caused by rubbing faults. For the coupling dynamics analysis of helical gear transmission, Kaplan [
7] investigated the coupling between the lateral, torsional and axial motion of the gear and the time-varying stiffness and driving force of the gear meshing. The finite element formula of the complete rotor–bearing system was described, which couples the axial, lateral and torsional degrees of freedom of the gear shaft. The shaft structure was modeled by a linear Timoshenko beam element. The nonlinear gear meshing force and moment combine the influence of gyroscopic moment and shaft speed change and include the parametric excitation model of contact loss caused by the change in meshing stiffness caused by tooth side clearance. Zhu et al. [
8] used the finite element method to establish the bending–torsion–axis–swing coupling dynamic analysis model of the general helical gear. In this model, the influence of meshing stiffness, azimuth angle, meshing angle, helix angle and rotation direction of the driving shaft on the gear meshing stiffness matrix is considered. In the coupled vibration analysis of a high-speed gear system, Zhao [
9] used the 12 × 12 matrix linear time-invariant meshing stiffness proposed by Stringer to consider the meshing stiffness, and the equivalent eccentric force was used to deal with the unbalanced mass. Zhao [
10] also used the dynamic equation of the gear rotor system proposed by Stringer, considered the gear transmission error, and analyzed the inherent characteristics and the bending–torsion coupling vibration response under pulsating torque excitation. Ma et al. [
11] established a full-degree-of-freedom general meshing dynamic model of helical gears, considering the dynamic characteristics of the system under the coupling of static transmission error, rotor mass imbalance and gear geometric eccentricity. Kubur [
12] proposed a dynamic model of a multi-axis helical gear reduction element. The model combines the finite element model of the shaft structure and the three-dimensional discrete model of the helical gear pair and considers the flexibility of the bearing and the shell. The Timoshenko beam model was used to consider the rotational inertia, shear deformation and gyroscopic moment. The overall dynamic model was established by the finite element method, including the time-varying meshing stiffness and dynamic response of the helical gear. The free and forced vibration of the system was predicted by the eigenvalue solution and the modal superposition technique, and the accuracy of the model was verified by experiments. Dong et al. [
13] derived the time-varying mesh stiffness of helical gears, establishing the dynamic equation of gear pairs using a lumped mass method combined with Timoshenko beam theory. The results demonstrate that the Timoshenko beam element is quite appropriate and reliable in the dynamic analysis of double-helical gear transmission. Xu et al. [
14] proposed an improved multi-stage gearbox dynamic model, which considers the structural flexibility of the shaft and the shell. The time-varying meshing stiffness of the helical gear was expressed by a periodic function. The shaft was constructed using the finite element model of the Timoshenko beam element. The overall dynamic model combines the lumped parameter model and the finite element method, which is suitable for the dynamic analysis of the variable speed process. The model improves the calculation efficiency and provides a theoretical basis for avoiding resonance faults.
In the field of gear dynamics, the accurate calculation of time-varying mesh stiffness (TVMS) of helical gear pairs has always been a research hotspot. Although a variety of methods, such as empirical formulas, analytical methods, and finite element (FE) methods, have been proposed, these methods have trade-offs in terms of computational accuracy, efficiency, and complexity. Feng et al. [
15] proposed an improved analysis method (IAM) to calculate the time-varying mesh stiffness of helical gears. This method improves the accuracy of TVMS calculation by slicing the gear and considering various influencing factors. Compared with the finite element method, IAM significantly reduces the calculation time while maintaining high accuracy and provides an efficient tool for gear dynamics research. However, the time-varying stiffness derived by this method is not a matrix, and it is difficult to combine with the finite element model. Chen [
16] constructed a dynamic model of a helical gear–rotor–bearing system and studied the influence of three-dimensional motion caused by the deformation of the rotating shaft on the system. The center distance, helix angle, contact ratio and time-varying stiffness of the gear pair were treated as dynamic variables, overcoming the limitation that these parameters were regarded as constant in traditional models. The motion equation of the system was derived by the Lagrangian equation and solved by the numerical integration method, thus verifying the accuracy of the model. The study revealed the significant influence of time-varying stiffness on the dynamic response of the system and emphasized the importance of considering the time-varying effect in low-stiffness systems. Yuan [
17] proposed a dynamic model including the time-varying meshing stiffness of helical gears, manufacturing errors, and their coupling relationship with gear errors based on the finite element model of the rotating shaft based on Timoshenko beam theory. Considering the meshing elements and bearing elements of the spring–damping–error model, a three-dimensional dynamic model was constructed. The model effectively predicts the quasi-static and dynamic behavior of the helical gear system and provides a reference for the design of low-noise gears. Zhang et al. [
18] proposed a three-dimensional dynamic model including the time-varying meshing stiffness of helical gears. The rotating shaft adopts the Timoshenko beam model, considering shear deformation and gyroscopic moment. The overall dynamic model combines the finite element model of the shaft structure and the dynamic characteristics of the helical gear pair, including bearing flexibility. The natural frequency and forced response of the system were predicted by eigenvalue solution and the modal superposition technique. The validity of the model was verified, and the influence of the geometric eccentricity of the helical gear on the dynamic response of the system was analyzed. However, the influence of the geometric eccentricity was treated as a constant eccentric excitation force calculated by the traditional formula, which is not time-varying.
In gear–shaft–bearing coupled transmission systems, bending vibration and torsional vibration exhibit significant mutual interaction. Tu et al. [
19] established a bending–torsion coupled dynamic model of a gear–shaft–bearing system considering time-varying mesh stiffness, gear eccentricity, shaft elastic deformation, and nonlinear bearing forces and analyzed the vibration characteristics of the system under external impacts. Zhang et al. [
20] developed a multi-degree-of-freedom dynamic model for a wind turbine helical gear–rotor–bearing coupled system by considering compound fault factors, such as gear cracks and bearing faults, and investigated the vibration response characteristics of the system under different fault conditions, including bearing fault feature identification.
With the development of finite element technology, TCA (tooth contact analysis) and LTCA (loaded tooth contact analysis) bearing contact theory started being used to model and modify gears and obtain time-varying meshing stiffness, which is more in line with the meshing characteristics of tooth pairs. The specific method is shown in reference [
21].
Although a number of studies have explored the coupling dynamic characteristics of gear transmission systems [
22], very few have simultaneously incorporated time-varying stiffness and dynamic eccentricity into their analysis of gears. Therefore, it is necessary to comprehensively consider the simultaneous action of meshing time-varying stiffness and time-varying eccentric excitation and improve the construction of the helical gear–rotor–bearing dynamic model. In this paper, a coupled dynamic model including time-varying stiffness and dynamic eccentric mass is constructed, and the unified strength theory is introduced to analyze the complex stress state. Based on the above, this paper provides a more comprehensive solution for the numerical calculation of the dynamics of the helical gear–rotor–bearing system.
4. Parametric Excitation Analysis of Eccentricity and Meshing Time-Varying Stiffness
Because the meshing stiffness and eccentricity matrix are related to time, the system belongs to the category of parametric excitation systems, and the transient dynamic analysis of the system is carried out. Eccentric mass of driving wheel
= 0.2 kg, eccentric distance
e1 =
e2 = 0.02 m. The size of the shaft is as follows: each shaft length is 1 m, divided into 8 elements; the radius is 0.015 m; the elastic modulus is 2.1 × 10
11 Pa; the Poisson’s ratio is 0.3; and the density is 7850 kg/m
3. The shaft is made of 17CrNiMo6 steel with a yield strength of 835 MPa. Therefore, the two shafts have 16 Timoshenko beam elements, a total of 18 nodes, and four bearings are located at 1, 9, 10, and 18 nodes, respectively. The two gears are numbered at the nodes of 5 and 14, respectively. Bearing stiffness
kyy = 2.0 × 10
8 N/m,
kyz = 0,
kzy = 0,
kzz = 4.0 × 10
8 N/m, without considering the bearing damping. The parameters of gears 1 and 2 are shown in
Table 1 and
Table 2.
The mass of gear 1 and gear 2 is 9.20 kg and 46.20 kg, respectively; the diameter moment of inertia is 0.03 kg‧m2 and 0.50 kg‧m2, respectively; and the polar moment of inertia is 0.06 kg‧m2 and 0.98 kg‧m2, respectively. The drive motor has an output power of 132 kW, corresponding to the input torque applied to the driving shaft, which is approximately 126 Nm, and the speed is 10,000 r/min.
The displacement response is calculated by the integration method Newmark β using a MATLAB R2024a routine. The mathematical calculation procedure is as follows:
1. Initial calculation:
(1) Compute matrices M, K and (ΩG + C);
(2) Compute matrices Mu(t), Ku(t), Cu(t) and Fu(t);
(3) Initial displacement, velocity and acceleration: , and ;
(4) Choose integration time step Δ
t,
γ, and
β and calculate the integration constants:
(5) Compute the effective stiffness matrix
2. For each time step:
(1) Compute the effective force vector at time
(2) Find the displacement at time
(3) Find the acceleration and velocity at time
3. Repeat step 2 for the next time step.
4. Calculate the dynamic stress by the displacement response:
where
D = diag(
E E E G κG κG) is the elastic matrix corresponding to the material,
E is the elastic modulus,
G is the shear modulus, and
κ = 0.886 is the transverse shear form factor.
N = [Nx Ny Nz Nθx Nθy Nθz]T is the shape function of the Timoshenko beam.
The finite element modeling of the gear meshing structure shown in
Figure 3 is carried out, and the dynamic numerical calculation is carried out by using the Newmark β method to obtain the displacement response on the shaft, as shown in
Figure 4.
Figure 4a,b present the vibration responses of the shaft with a time-varying meshing stiffness matrix in the
y-z directions.
Figure 4c presents the torsional vibration response along the
x-axis, as well as the evolution of the shaft’s axial orbit over time. From the bending vibration response shown in
Figure 4a, it can be observed that the time-varying stiffness matrix influences not only the degrees of freedom along the main diagonal but also exerts a significant effect on the coupled degrees of freedom.
The transient shaft orbit in the
Y-Z plane is shown in
Figure 5.
Figure 5a presents the overall transient orbit of the shaft in the
Y-Z plane under the influence of time-varying mesh stiffness. The orbit exhibits pronounced nonlinear and coupled dynamic characteristics, indicating significant coupling effects between translational degrees of freedom.
Figure 5b provides a magnified view of a local region from
Figure 5a, revealing detailed features of the orbital structure. An additional inset in
Figure 5b further enlarges the orbit enclosed by the circular marker. It can be observed that, after initial transients, the shaft orbit in the
Y-Z plane gradually converges to a more regular pattern, suggesting that the system response transitions into a steady-state regime.
To examine different working conditions, inputting an external torsional excitation to the motor drive produces a bending vibration response with a frequency that is the difference between the bending natural frequency and the torsional excitation frequency. Specifically, a torsional excitation of 32 Hz applied to the input shaft produces a coupled bending vibration response of 134.9998 (=167.014 − 32.0142) Hz, which is approximately equal to the peak value of 134.673 Hz in
Figure 6.
The result indicates that a coupled bending and torsional vibration phenomenon is generated under the influence of the mechanically eccentric mass. In contrast, since the input is a constant torque,
Figure 4a does not produce a coupled bending vibration response.
For different materials, it is not appropriate to use the same yield criterion. The Von Mises criterion is not universal but only a special case. Using the same strength criterion to evaluate materials with different material properties will cause certain errors. The fourth strength theory of materials considers the influence of intermediate principal stress but does not consider the influence of the difference between the tensile and compressive strength of materials. The unified strength theory proposed by Yu [
29] is suitable for the analysis of complex stress states. For the Timoshenko beam element, after obtaining the displacement response of the nodes at both ends of an element, the stress of a specific point on a section of the element is obtained by the element type function and the strain–stress relationship, including two transverse normal stresses, one axial normal stress, and one axial torsional shear stress. A complex stress state can be represented by a 3 × 3 stress tensor:
The characteristic equation of the symmetric stress matrix is
where
The eigenvalues of the characteristic equation are arranged into three principal stresses, σ1, σ2, σ3, and the eigenvectors corresponding to the eigenvalues represent the direction of the principal stress.
When the two large shear stresses acting on the twin-shear element and the normal stress combination on the surface reach a certain limit value, the material will yield, that is, the unified yield criterion of metal materials under complex stress states. Any complex stress state can be transformed into a twin-shear stress state, and the twin-shear element can be obtained by changing the shape of the element.
The twin-shear stress yield criterion can better reflect the influence of the intermediate principal stress. For example, the intermediate principal stress can improve the yield limit of the material. The twin-shear stress yield criterion holds that when the sum of the absolute values of the two large principal shear stresses reaches a certain limit value C, the material begins to yield. The expression of the yield criterion is as follows:
For materials with SD effect (unequal tensile and compressive strength), such as high-strength steel, the material yield criterion considering the influence of intermediate principal stress and unequal tensile and compressive strength is
In the yield criterion,
b is the selection parameter, which represents the influence degree of intermediate principal stress.
σts and
σcs are the tensile and compressive strength limits, respectively, which can be directly determined by the three-dimensional stress test.
Equation (53) represents the effect of different tensile and compressive strengths. α = σts/σcs, when σ = 1 and b = 0.577, the unified strength theory degenerates to the Von Mises criterion. When α = 1 and b = 1, the unified strength theory degenerates into the twin-shear yield criterion.
For the stressed object, the first two larger principal shear stresses,
σ1 and
σ2, have a greater impact. The sum of two larger principal shear stresses at a certain point is obtained, that is, the twin-shear stress:
According to the geometric conditions and stress conditions, the relationship between displacement and strain can be derived through the type function, while the stress is obtained through the stress matrix. Since the system enters a stable state starting from 20 s, the presented results are from after 20 s. The results are shown in
Figure 7. The deformation of each degree of freedom on the axis will lead to dynamic stress.
Twin-shear stress is more realistic, which is confirmed by three-dimensional experiments.
Figure 7e,f indicates that the Von Mises equivalent stress and the twin-shear stress are less than the yield strength of the gear material, and the Von Mises equivalent stress is greater than the twin-shear stress, which conforms to the unified strength theory; that is, when the equivalent stress is used to judge that the vibration intensity reaches the yield limit, but the twin-shear stress has not yet reached it, the load can continue to be applied to the object. There is a certain margin, which is beneficial to the utilization rate of the material and is suitable for lightweight design.