the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dynamic characteristics of the gearrotor system in compressed air energy storage considering friction effects
Xinran Wang
Wen Li
Dongxu Hu
Xingjian Dai
Haisheng Chen
The tooth surface friction effects and the resulting tooth surface contact temperature are important factors for the dynamic characteristics of a gearrotor system in compressed air energy storage (CAES). Therefore, a 3^{∘} of freedom finiteelement model of the system is set up in which the lubrication state of the gear pair, tooth surface friction, contact temperature of the tooth surface, backlash and unbalanced excitation are considered. The friction coefficient is calculated according to the variation of the lubrication state, and the tooth surface contact temperature is derived based on the friction coefficient. The tooth profile deformation caused by the change in the contact temperature is calculated, and the resulting effects on backlash and comprehensive meshing stiffness are considered. The influence of rotating speed, torque load and viscosity of lubricating oil on the system response is studied, and the variation of the friction coefficient, flash temperature of the tooth surface, pressure of the tooth surface and so on are discussed in detail. The results indicate that when the friction coefficient is derived according to the variation of the lubrication state, the variation of the contact temperature of the tooth surface with rotating speed is quite different from that calculated based on a friction coefficient which is set artificially. This leads to a new variation of the dynamic response of the gearrotor system, and the method of stabilizing the operation of the system is put forward based on the optimization curve for the operation of the system. The results obtained in this paper will provide a reference for the study and design of a gearrotor system in CAES.
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Electric energy storage technology can improve the operation efficiency, security, and economy of a conventional power system and the utilization efficiency of renewable energy. The compressed air energy storage (CAES) technology can achieve largescale, longterm energy storage, which is one of the most promising largescale physical energy storage technologies (Zhang et al., 2012). CAES has a wide range of potential applications for the generation, transmission and utilization of electricity. The CAES works in that air is first compressed by a compressor, which is driven by excess electrical power in the grid. Then the excess electrical power in the grid is stored as the internal energy of highpressure air. The highpressure air is subsequently released through a expander to generate electrical power when needed (Chen et al., 2009, 2016). Because a multistage turbine has the advantages of high efficiency and a compact structure, the expander and compressor in CAES usually adopt a multistage expander and compressor. The gearrotor system is the key equipment of the multistage expander. Due to the energy storage and release processes, the CAES exhibits frequently the characteristics of offdesign operation, putting forward higher requirements for the safety and reliability of the gearrotor system. An attempt to design and develop a gearrotor system in CAES requires a good understanding of the dynamic characteristics of the system.
The friction effect is inevitable for the gearrotor system in the actual working status of high rotating speed and high load. The energy consumed by friction will converse to heat, and it will lead the tooth contact temperature to increase, further leading to the change in the shape and stiffness of the gear tooth. It can be found from the above analysis that the friction and tooth contact temperature are critical factors for the gearrotor system, and there is a certain correlation between them, but they are often studied separately in the existing literature. For the research of tooth surface friction, Kar et al. (2007, 2008) calculated the length of the contact line, friction force and friction torque of the helical gear. Chen et al. (2011) investigated the effects of the friction and dynamic backlash on the multidegree of freedom nonlinear dynamic gear transmission system, which incorporates timevarying stiffness. Inaguma (2015) presented the friction torque in an internal gear pump, and the friction force between an outer circumference of an outer rotor and a body, which causes a significant loss, has been investigated. Zhou et al. (2018) proposed a novel prediction method where gear friction coefficients with or without lubrication are developed with a computational inverse technique. The friction coefficients of different gearrotor systems under different operating conditions were calculated in the above studies, and the effects of friction on the dynamic characteristics of the systems were discussed, but the increasing contact temperature caused by friction was ignored in the above studies.
The tooth surface contact temperature of the gearrotor system is discussed in the following studies. Shi et al. (2016) investigated the sliding velocity variation for the gearmeshing surface based on theories of gear tribology, heat transfer and Hertz contact and derived a model of contact stress considering friction force. Li et al. (2016) investigated the flash temperature rise of spur gear contacts under the tribodynamic condition. Mao (2007) described a detailed analysis of the flash temperature for polymer composite gears and the heat partition between gear teeth instead of Blok's solution. Gou et al. (2017) investigated the effect of the flash temperature of a tooth surface on the dynamics of a spur gear system and established a modified nonlinear dynamic model of a gearrotorbearing system. The above research discussed the effects of the contact temperature on the dynamic characteristics of the gearrotor systems. However, the friction coefficient, which is an important parameter for the calculation of the contact temperature, is set artificially instead of calculated in the above studies, but the friction coefficient is significantly different in different gearrotor systems under different operating conditions. Therefore, the artificial setting of the friction coefficient will lead to an inaccurate calculation of the contact temperature, which will adversely affect the analysis of the dynamic characteristics of the system.
Through the above analysis, it can be seen that the previous research of gearrotor systems has some limitations. In the studies involving the friction effect, only the effect of friction is considered, and the resulting increase in the contact temperature is ignored. In the studies involving contact temperature, the friction coefficient is set artificially instead of calculated, leading to the inaccurate calculation of the contact temperature. In addition, the thermal deformation of the gear tooth caused by contact temperature will affect the backlash and the stiffness of the gear; some previous studies did not take them all into consideration.
The purpose of this paper is to propose a dynamic model for the gearrotor system in CAES with the lubrication state of the gear pair, tooth surface friction, tooth surface contact temperature, backlash and unbalanced excitation considered. The friction coefficient is calculated according to the variation of lubrication state, and the tooth surface contact temperature is derived based on the friction coefficient. The tooth profile deformation caused by the change in the contact temperature is calculated, and the resulting effects on backlash and comprehensive meshing stiffness are considered. The influence of rotating speed, torque load and viscosity of lubricating oil on the system response is studied, and the variation of the friction coefficient, flash temperature of the tooth surface, pressure of the tooth surface and so on are discussed in detail. The method of stabilizing the operation of the system is put forward based on the optimization curve for the operation of the system.
2.1 Integral model of the gearrotor system
A finiteelement model of a gearrotor system is formulated according to the typical structure of a multistage expressor in CAES, which is shown in Fig. 1. The model consists of 27 nodes, where x_{n}, y_{n}, and θ represent the degrees of freedom of each node, and where x_{n} and y_{n} are the translations and θ is the torsional angle. The model consists of two gear rotors: the driven rotor (rotor 1) and the driving rotor (rotor 2). The rotating speed ratio of rotors 1 and 2 is 4.5:1. The axial force in the system is ignored since it is offset by the thrust bearings. Both ends of rotor 1 are equipped with disks, which represent the mass and moment of inertia of the turbine. The meshing force, friction effects, contact temperature effects, and input torque are applied to the nodes at the gear locations. There are four sliding bearings in the system, which are modeled as support stiffness and damping located at the nodes where the bearings are. The support stiffness or damping are not the focus of this paper; therefore, we simply adopted their specifications from the Journal Bearing Databook (1989) and show them in Table 1.
The mathematical model of the gearrotor system is obtained as follows:
where $Q(t,q,\dot{q})$ is the resultant external force vector, including the meshing force, friction effects, contact temperature effects, input torque, and mass imbalance. M is the mass matrix, K is the stiffness matrix, C is the damping matrix, and G is the gyroscopic matrix. The methods for deriving the global mass, stiffness, damping, gyroscopic matrices, and displacement vector are well known and are, therefore, omitted. The following part focuses on the derivation of the resultant external force, and the software of MATLAB is used to solve the mathematic model by the Newmark stepbystep integration method.
2.2 Model of nonlinear factors of the gearrotor system
The degrees of freedom of the gear pair are x_{i}, y_{i}, and θ_{i}, i=p, g, where x_{i} and y_{i} are the vibration translations, θ_{i} is the torsional angle, and p and g represent the gears of rotors 1 and 2, respectively. Set Δ(t) as the relative displacement of the gear pair, which can be expressed as follows:
where r_{i}, $\left(i=p,g\right)$ is the radius of the base circle of the gear, and α is the meshing angle.
Denote the constant backlash of each gear pair along the meshing direction as 2b_{n} when the vibration displacement of the gear pair is 0; then, the backlash displacement function can be defined as follows.
Then the meshing force can be defined as
where k(t) is the comprehensive meshing stiffness of the gear tooth, and c(t) is the meshing damping of the gear tooth.
The International Organization for Standardization (ISO, 1996) proposed a method to calculate the meshing stiffness and damping, which allows expression of the meshing stiffness of a single pair of gear teeth as follows:
where x_{1} and x_{2} are the modification coefficients, z_{1}=n_{1}cos ^{3}β and z_{2}=n_{2}cos ^{3}β are the virtual number of teeth, and β is the helical angle.
For helical gears with the helix angle of no more than 30^{∘}, the average meshing stiffness is given as
where ε is the transverse contact ratio, and B is the breadth of the tooth.
Considering the periodic fluctuation of meshing stiffness, Kahraman et al. (1991) proposed to expand the timevarying meshing stiffness of the gear pair into a Fourier series. Keeping only the first harmonic, it can be expressed as follows:
where k_{1} and k_{2} are the harmonic amplitudes of the meshing stiffness.
Then the comprehensive meshing stiffness can be expressed as follows:
where k_{T} is the thermal stiffness, which is derived in the following.
Meshing damping of the gear teeth can be calculated by the method of the damping ratio, which is expressed as follows:
where ξ is the damping ratio, and I_{i}, $(i=\mathrm{1},\mathrm{2})$ is the moment of inertia of the gears.
The calculation results of meshing stiffness and damping are shown in Fig. 2.
The power load of CAES acts on the gearrotor system in the form of torque load, which can be expressed as
where M_{im} and M_{im}, i=p, g are the average torque load, which is also called static torque load, M_{ir} and M_{ir}, i=p, g represent the fluctuations, and p and g represent parameters of rotor 1 and rotor 2.
Unbalanced excitation should be applied to every node of the model because unbalanced excitation is in every part of the system. The expression for the unbalanced excitation is as follows:
where F_{n} (n=1, 2, 3, …, 27) is the unbalanced excitation of each node of the system, m_{n} (n=1, 2 , 3, …, 27) is the mass of the cell represented by each node, r_{n} (n=1, 2, 3, …, 27) is the eccentric radius of each node, and ω_{i} ($i=p,g$) is the rotating speed.
Friction coefficient is the key coefficient of friction force and contact temperature. In order to calculate the friction coefficient, it is necessary to judge the lubrication state of the gear pair. The lubrication state is usually judged by the film thickness ratio, which can be expressed as follows:
where R_{q1}, R_{q2} is the root mean square deviation of the surface topography profile, and h_{min} is the minimum thickness of the oil film when the gear pair is in the elastohydrodynamic lubrication, which can be expressed as follows:
where η_{0} is the dynamic viscosity of lubrication oil, u_{r}(t) is the entrainment speed, α is the pressure viscosity coefficient of lubrication oil, R_{c} is the comprehensive equivalent radius, l is the tooth width, E_{c} is the comprehensive elastic modulus, and P is the pressure of the tooth surface, which is derived in the following.
If the film thickness ratio contains λ<1, the lubrication state is boundary lubrication; if the film thickness ratio contains $\mathrm{1}<\mathit{\lambda}<\mathrm{3}$, the lubrication state is a mix of boundary lubrication and elastohydrodynamic lubrication; if the film thickness ratio contains 3<λ, the lubrication state is elastohydrodynamic lubrication. Then the load factor s_{c} can be expressed as follows.
The friction coefficient can be calculated by load factor as follows:
where μ_{c} is the friction coefficient of boundary lubrication, which refers to the study reported by Wang et al. (2008). μ_{l} is the friction coefficient of elastohydrodynamic lubrication, which refers to the study reported by Xu et al. (2007).
Friction force is considered to be positive when the contact line segment is above the pitch line and negative otherwise. The direction of the friction force is perpendicular to the line of action in the transverse plane parallel to the cross section of the gears and pinion and perpendicular to the contact lines in the sectional plane showing the contact zone. The friction force is calculated by the sectional contact line, which can be expressed as follows:
where l_{ci}(t) is the timevarying sectional contact line, l_{c}(t) is the timevarying total sectional line, and P is the pressure of the tooth surface, which is derived in the following. The calculation of the timevarying sectional contact line and the timevarying total sectional line refers to the study reported by Kar and Mohanty (2007).
The tooth contact temperature ΔT consists of bulk temperature Δ_{m}T and tooth instantaneous flash temperature Δ_{f}T:
Herein, the bulk temperatures of two meshing gears are equal since they will not change in steady working state. The tooth instantaneous flash temperature is due to the heat of conversing with the energy which was consumed by the friction between the two meshing gear teeth when they are sliding relative. Therefore, the variation of contact temperature is actually the variation of the flash temperature. The tooth instantaneous flash temperature, Δ_{f}T, can be achieved according to Blok's flash temperature theory (Blok, 1963).
where u is the coefficient of temperature rising, and v_{1} and v_{2} are the tangential velocities of the two teeth surfaces, respectively. g_{1} and g_{2} are the thermal conductivity of the two teeth surfaces, respectively. ρ_{1} and ρ_{2} are the densities of the two teeth surfaces, respectively. c_{1} and c_{2} are the specific heat capacities of the two teeth, respectively. B is the semiwidth of the Hertzian contact band. P is the pressure of the tooth surface, which is derived in the following. Then the profile deformation caused by contact temperature can be expressed as
where u_{bi} is the thermal deformation quantity in the base circles of two gears in steady working state, which can be expressed as follows:
where λ is the linear expansion of the material, r_{bi}, ($i=\mathrm{1},\mathrm{2}$) is the base radius of the pinion and gear, α is the meshing angle, α_{ki}, ($i=\mathrm{1},\mathrm{2}$) is the addendum pressure angle of the gear, r_{0i}, ($i=\mathrm{1},\mathrm{2}$) is the radius of the shafts of the two gears, and T_{bi}, ($i=\mathrm{1},\mathrm{2}$) is the temperature of the shafts of the two gears in steady working state. T_{0i}, ($i=\mathrm{1},\mathrm{2}$) is the temperature in the base circles of the two gears in steady working state.
The profile deformation will affect the stiffness and the backlash of the gear, resulting in the thermal stress and thermal stiffness of the gear pair, which can be expressed as follows:
Then the pressure of the tooth surface can be expressed as follows:
Table 2 shows some key parameters of the helical gear pair model. The specific data refer to the parameters of the gearrotor system in the multistage expander of the CAES with a power level of 10 000 kW.
3.1 Structure of the gearrotor test bench
A gearrotor test bench was built according to the structure and size of the gearrotor system in CAES, which is shown in Fig. 3. A variablefrequency motor with a rated power of 315 kW and a rated speed of 3500 rpm is used to drive the speedincreasing gear box, and its growth ratio is 2.7. The speedincreasing gear box has no critical speed in the rated speed range of the variablefrequency motor. The speedincreasing gear box is used to drive rotor 2, and rotor 2 is used to drive rotor 1. A constant torque is transmitted through the elastomer couplings among the variablefrequency motor, speedincreasing gear box and test system. It is of primary interest here to note that the test gear systems shown in Fig. 3 are well isolated from the speedincreasing gear box through elastomer couplings, such that the influence of the speedincreasing gear pair on the dynamic behavior of the test gear system is negligible. In addition, the bearing pedestals and the bed plate of the test machine are rigid. The lateral vibration displacement of the rotors is measured by displacement sensors, which are set close to the journals.
3.2 Verification of the mathematical model
Rotor 1 has disks on both its ends, and its rotating speed is much higher than that of rotor 2; therefore, the experimental results and the simulated results of rotor 1 are selected to verify the accuracy of the mathematical model. Spedup experiment of the gearrotor system was carried out on the gearrotor test bench. Each time the rotating speed of rotor 1 was increased by 500 rpm, and the rotating speed of rotor 1 was increased from the lowest speed to the rated speed (20 000 rpm). Figure 4a shows the Bode diagram of the gearrotor system obtained experimentally. The firstorder critical speed of the system can be clearly reflected from the Bode diagram (Wang et al., 2011). It can be seen from Fig. 4a that the firstorder critical speed of the system obtained experimentally is about 15 000 rpm. Figure 4b shows that the peak of the vibration displacement of the system obtained numerically is about 15 500 rpm, and the experimental result is about 15 000 rpm, which is almost consistent with the firstorder critical speed. The difference of the peak of the vibration displacement between the numerical and experimental results is about 3.3 %; therefore, the mathematical model is relatively satisfactory.
Figure 5 shows the relationship between the influencing factors of the gearrotor system, which is derived by the relationship of the parameters in Eqs. (12)–(23). In Fig. 5, the arrow represents the direction of the influence, the plus sign represents the positive correlation, and the minus sign represents the negative correlation. It can be seen from Fig. 5 that there is a negative correlation between friction coefficient and oil film thickness and a positive correlation between tooth surface pressure and meshing force. The flash temperature of the tooth surface is positively correlated with the friction coefficient and the tooth surface pressure. The thermal stress is positively correlated with the flash temperature of the tooth surface, and the tooth surface pressure is positively correlated with the thermal stress at the same time. The result indicates that the flash temperature, thermal stress and pressure on the tooth surface have a positive feedback on each other. Therefore, it is speculated that the flash temperature, thermal stress and pressure of the tooth surface have a similar variation.
4.1 Response at the torque load of 5000 Nm and the lubricating oil viscosity of 30 cPs
The system response is analyzed when the torque load is 5000 Nm and the lubricating oil viscosity is 30 cPs. At this time, the torque load of the system is close to the torque load when the system is operating at the rated power. Figure 6 is a bifurcation diagram of the system response. The abscissa of the bifurcation diagram is the bifurcation parameter, and the ordinate of the bifurcation diagram is the projection of the system response corresponding to the research parameters on the Poincare section. If the bifurcation diagram shows a curve varying with the bifurcation parameter, the system moves approximately periodically. If the bifurcation diagram shows discrete points, then the system moves in chaos. From Fig. 6, it can be seen that the system response is dominated by chaos in the speed range of about $\mathrm{1}/\mathrm{3}$–$\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, and the response is quasiperiodic in other speed ranges.
It can be found from Fig. 7a that the minimum thickness of the oil film between the gear tooth increases with the increase in the rotating speed. This is because the minimum thickness of the lubricating oil is directly proportional to the entrainment speed of the gear, and the entrainment speed is directly proportional to the rotating speed, which can be seen in Eq. (13). Figure 7a shows that below about $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, the tooth surface roughness is greater than the minimum oil film thickness; after about $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, the minimum oil film thickness is greater than the tooth surface roughness. Therefore, with the rotating speed increases, the lubrication state of the gear pair gradually changes from boundary lubrication to a mixed state of boundary lubrication and elastohydrodynamic lubrication when the speed is close to $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, and the proportion of elastohydrodynamic lubrication gets higher and higher after $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed. This phenomenon causes the friction coefficient to be mainly the friction coefficient of the boundary lubrication when below $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, which almost remains constant. The friction coefficient drops sharply at $\mathrm{1}/\mathrm{2}$ of the critical speed because the friction coefficient of the mixed lubrication is much lower than that of the boundary lubrication, which is shown in Fig. 7c. Figure 7f shows the variation of the flash temperature with the rotating speed. It is reported by Gou et al. (2017) that the flash temperature is slightly increasing with the increase in rotating speed when the friction coefficient is constant; therefore, the flash temperature increases when below $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed, which is the speed range when the friction coefficient is almost constant. According to the analysis of Fig. 5, the friction coefficient is a positive coefficient of the flash temperature, and therefore the flash temperature sharply decreases at about $\mathrm{1}/\mathrm{2}$ of the firstorder critical speed under the effects of the friction coefficient. It can be seen from Fig. 7d, e, f, g that the variation of the flash temperature, thermal stress, pressure of the tooth surface and the friction force are similar, which confirms the conjecture in the analysis of Fig. 5.
It can be found from Fig. 5 that the factors inside the dotted frame are mainly internal affecting factors of the gearrotor system, which is hardly controlled artificially. The fluctuation of the meshing force is related to the dynamic characteristics of the system, but the overall order of the magnitude of the meshing force is mainly affected by the torque load, which can be controlled by adjusting the actual power of the system. Equation (13) shows that the viscosity coefficient of lubrication oil can affect the minimum thickness of the oil film, which is approximately consistent in the course of the operation, but it can be adjusted by changing the type of lubricating oil. Therefore, the viscosity coefficient of lubrication oil and torque load can be controlled artificially to exert influence on the dynamic characteristics of the system.
4.2 Effect of the viscosity coefficient of lubrication oil
In order to study the effect of the viscosity coefficient of lubrication oil, the torque load is set as 5000 Nm (remains constant), and the lubricating oil viscosity is set as 60 cPs, which is twice that of before. Figure 8 is the bifurcation diagram of the system response, which is quasiperiodic motion in the entire speed range. The result indicates that the stability of the system response with the lubricating oil viscosity of 60 cPs is significantly improved compared with that when the lubricating oil viscosity is 30 cPs.
Figure 9 is the response at the torque load of 5000 Nm and the lubricating oil viscosity of 60 cPs. Figure 9b shows that the meshing force is the same as that before because the torque load remains unchanged, and the minimum thickness of the oil film increases compared with that when the lubricating oil viscosity is 30 cPs, which is seen in Fig. 9a. Therefore, the speed range of boundary lubrication is obviously shortened, and the mixed state of boundary lubrication and elastohydrodynamic lubrication changes to the state of elastohydrodynamic lubrication at around the firstorder critical speed. This results in a significant reduction of the friction coefficient, leading to the reduction of the flash temperature, thermal stress, pressure of the tooth surface, and the friction force, which can be found in Fig. 9d, e, f, g. Then the increased stability of the system operating at a higher lubricating oil viscosity is explained.
In order to study the effect of the viscosity coefficient of lubrication oil, keep the torque load of the system constant and set the critical viscosity of the lubricating oil as the viscosity when the system response changes from the other motion state to the quasiperiodic state. The critical viscosity of lubricating oil is shown in Fig. 10. In Fig. 10, the system response which operates above the curve is quasiperiodic. Figure 10 shows that the critical viscosity of lubricating oil is relatively high in the speed range of 4000–7000 rpm, whose highest point is close to 60 cPs. The result indicates that one of the criteria for selecting the type of lubricating oil is that the viscosity should be relatively high, or the system needs to pass the speed range of 4000–7000 rpm quickly in order to reduce the operational risk. It is important to note that excessive viscosity of lubricating oil will lead to larger oil pump power and a smaller heat transfer coefficient; therefore, the type of lubricating oil should be carefully selected.
4.3 Effect of the torque load
In order to study the effect of the torque load, reset the lubricating oil viscosity to 30 cPs and set the torque load as 2500 Nm, which is half of that before. Figure 11 shows that the stability of the system response is significantly improved compared with that when the torque load is 5000 Nm, which is quasiperiodic motion in the entire speed range.
Figure 12a shows that the speed range of boundary lubrication is not much different from that when the torque load is 5000 Nm, which results in little change in the friction coefficient, which is shown in Fig. 12c. Figure 12b shows the meshing force is lower than that before, causing the pressure of the tooth surface to be significantly lower than that when the torque load is 5000 Nm in the entire speed range. Therefore, the flash temperature, thermal stress, and friction force have a significant reduction compared with that when the torque load is 5000 Nm. The increased stability of the system operating at lower torque load is explained.
In order to study the effect of the torque load, keep the viscosity of lubricating oil constant, set the critical torque load as the torque load which the system response changes from the other motion state to the quasiperiodic state, and set the dimensionless critical torque load as the ratio of the critical torque load to the rated torque load of the gearrotor system in CAES. The dimensionless critical torque load is studied in Fig. 13. In Fig. 13, the system response which operates below the curve is quasiperiodic. Figure 13 shows that the dimensionless critical torque load is relatively low in the speed range of 4000–7000 rpm, whose lowest point is close to the 5 % rated load. The dimensionless critical torque load is close to the 100 % rated load in other speed ranges. The result indicates that the torque load of the system in actual operation needs to be reduced properly when the system is operated in the speed range of 4000–7000 rpm, or the system needs to pass the speed range of 4000–7000 rpm quickly in order to reduce the operational risk.
4.4 Sensitivity analysis
Sensitivity analysis is used to study the effecting level of various effecting factors in the system response and then determine the key effecting factors of the system. The sensitivity analysis of torque load and lubricating oil viscosity in the system response is carried out, which is shown in Fig. 14. In Fig. 14, the abscissa is the lubricating oil viscosity variation rate ${\stackrel{\mathrm{\u203e}}{\mathit{\eta}}}_{\mathrm{0}}=\left\mathrm{\Delta}\mathit{\eta}/{\mathit{\eta}}_{\mathrm{0}}\right$ and torque load variation rate $\stackrel{\mathrm{\u203e}}{M}=\left\mathrm{\Delta}M/M\right$, where η_{0} is the initial viscosity of lubricating oil, and Δη is the variation of the viscosity of lubricating oil; M is the initial torque load, and ΔM is the variation of the torque load. The horizontal coordinate of Fig. 14 is the variation rate of the rotating speed range of the chaotic motion, which is presented as $\stackrel{\mathrm{\u203e}}{Q}=\left\mathrm{\Delta}Q/Q\right$, where Q is the rotating speed range of the chaotic motion, and ΔQ is the variation of the rotating speed range of the chaotic motion. Figure 14 shows that both the lubricating oil viscosity and torque load have great effects on the response of the gearrotor system, and the effect of lubricating oil viscosity on the system response is greater than that of torque load.
A finiteelement model for the key equipment of CAES – the typical gearrotor system – was established, and the dynamic characteristics of the system considering contact temperature were studied in detail. The conclusions can be summarized as follows.

The minimum oil film thickness of elastohydrodynamic lubrication will increase with the increase in the rotating speed, causing the gear pair lubrication state to change from boundary lubrication to a mixed state of boundary lubrication and elastohydrodynamic lubrication and then to an elastohydrodynamic lubrication state as the rotating speed increases. The variation of the gear pair lubrication state leads to the friction coefficient remaining at a high level at first and then decreasing with the increase in rotating speed.

With the increase in rotating speed, the flash temperature first increases when the friction coefficient remains unchanged and then decreases with the decrease in friction coefficient, leading to it being in a high level in the speed range around $\mathrm{1}/\mathrm{3}$ of the firstorder critical speed. The contact temperature of the tooth surface, thermal stress, pressure of the tooth surface and friction force have a similar variation to the flash temperature. This will lead the system to maybe being in chaotic motion in the speed range around $\mathrm{1}/\mathrm{3}$ of the firstorder critical speed.

The optimization curve of lubrication oil viscosity and load with respect to rotating speed is obtained, and the method of stabilizing the operation of the system is put forward. Increasing the viscosity of the lubricating oil can improve the stability of system operation by increasing the thickness of the lubricating oil, leading to the decrease in the speed range of the boundary lubrication state. Decreasing the torque load can improve the stability of system operation by decreasing the meshing force.
All data included in this study are available upon request from the corresponding author.
HC, WL and XW conceived of the presented idea. DH and XW carried out the experiments. XW made numerical analysis and wrote the paper. XD checked the article and made suggestions.
The authors declare that they have no conflict of interest.
The authors would like to thank the National Key R&D Plan (2017YFB0903602); the National Natural Science Foundation of China (51976218); the Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences (XDA21070303); the International Partnership Program, Bureau of International Cooperation of Chinese Academy of Sciences (182211KYSB20170029); and the Beijing Key Laboratory of Distributed Combined Cooling Heating and Power System.
This research has been supported by the National Key R&D Plan (2017YFB0903602), the National Natural Science Foundation of China (51976218), the Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences (XDA21070303), the International Partnership Program, Bureau of International Cooperation of Chinese Academy of Sciences (182211KYSB20170029), and the Beijing Key Laboratory of Distributed Combined Cooling Heating and Power System.
This paper was edited by Daniel Condurache and reviewed by three anonymous referees.
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