A time-varying meshing stiffness (TVMS) model that includes oil film stiffness in the elastohydrodynamic lubrication (EHL) line contact is proposed for tooth root cracking. This model employs the oil film thickness to estimate the stiffness of the oil film in gear contact by considering the profile variation of the oil film induced by tooth root cracks, to provide the evolution principle of TVMS in EHL line contact to study the effects of oil film stiffness of cracked gear on the TVMS. The results of the analysis reveal that the overall result of TVMS decreases owing to the stiffness of the oil film, whereas the combined TVMS depends mainly on the rotation speed of the gear system because the thickness of the oil film in the tooth crack is affected by the velocity of the entrainment. Furthermore, a six-degree-of-freedom (DOF) dynamic model is introduced to analyze the vibration behavior of the gear system using the combined TVMS results for different crack levels, and the influence of the combined TVMS on the vibration response of the tooth root crack is exhibited from the time-domain analysis, frequency-domain analysis, and statistical indicator analysis.
As an important mechanical part, the gear is like "muscles and bones" in the structure of the human body, which cannot be seen or touched from the appearance, but it greatly affects the normal operation of machinery. The gear crack fault as an early failure state of the gear system is the main research point of the gear failure mechanism study. Although the theory of gear fault diagnosis has been improved, resulting in the cracked gear with more accuracy, it is necessary to have a better understanding of the vibration features of the cracked gear. In recent year, gear failure mechanism research, whose method is based on the model, has been used to reflect the influence of the dynamic parameter on the gear system.
In the model-based method, the time-varying meshing stiffness (TVMS), which is the primary excitation characteristic parameter, can affect the mechanism variation of the vibration signal in the dynamic model of the gear system and can be used as an important role in the diagnosis of gear failure [[
In AM, the meshing stiffness of line contact is often derived from the stiffness of Hertzian contact, the stiffness of the flexible base, the bending stiffness, and the shear stiffness, and the gear contact model is simulated by assuming the gear tooth as a half-section non-uniform cantilever beam [[
The FEM method usually builds the gear pairs using a 3-D model and applies the load torque to the teeth to evaluate the TVMS throughout the meshing circle [[
In addition to the AM and FEM methods, some investigators indirectly obtain the TVMS of the gear system by using a measurement-based method. For example, the stress distribution of a visual structure during the gear system meshing circle is obtained with the help of a photoelastic measuring device [[
At the same time, with the development of the dynamic mechanism of gear contact, the elastohydrodynamic lubrication theory (EHL) and the dynamic properties of oil film including lubrication in the gear meshing have begun to become a major focus of the researchers. Wen et al. study the resulting stiffness in the EHL model by introducing the normal stiffness of the oil film to analyze the thickness of the film and elastic deformation [[
Although the dynamic of cracked gears has been developed extensively to predict the vibration analysis for gear fault diagnosis, previous investigations on the failure mechanism of gears focus on the contact stiffness or cracked gear model and lacked the TVMS estimation of cracked gear under theoretical EHL models. Therefore, the meshing stiffness of the cracked gear consisting of EHL is carried out to construct an improved TVMS evaluation method, to provide the evolution principle of TVMS in the contact of the EHL line, and to present an effective dynamic parameter of vibration analysis for the diagnosis of failure of the cracked gear in this paper.
- (i) An analytical TVMS model is developed for gear contact EHL, in which the meshing stiffness of the EHL model is introduced to reflect the TVMS variation due to the crack of the tooth root.
- (ii) With the developed model, the impact of the EHL model on cracked tooth is investigated. A six-degree-of-freedom (DOF) dynamic model of the gear system is produced including the 4-translation DOF and 2-rotation DOF for the gear pair.
- (iii) The vibration behaviors of the dynamic response under the different levels of cracked tooth, which are obtained from the TVMS of the EHL model, are studied, and the influence of TVMS due to the contact of the EHL line on the vibration response of cracked tooth is exhibited.
The meshing stiffness of gear contact is used to describe the ability of the gear to resist deformation under an alternating load. Since the rotation of teeth affects the contact position of gear, hence the meshing stiffness becomes a function of time, namely time-varying meshing stiffness, and that also describes the vibration characteristic of the gear pair. Since the existence of cracks will change the geometry and eventually affect the TVMS, the TVMS plays an important role in the fault analysis of dynamic modeling.
To present the generality of the gear model, Figure 1 shows the schematic diagram of a nonuniform cantilever beam of spur gear. As for AM, the tooth section is divided into n segments to analyze the deformation principle, and the total deformation of contact gear
Graph: Figure 1 Model of a nonuniform cantilever beam of spur gear.
Potential energies stored of bending, shear, and axis compressive deformation in the meshing contact can be expressed respectively as follows:
Based on the nonuniform cantilever beam theory [[
where the
The single-tooth stiffness based on the potential energy method can be calculated as follows:
As the tooth is supported by the contact load, the deflection of the fillet foundation also influences the TVMS on the gear pair, which is provided to alleviate the stress concentration at the root of the tooth. According to Muskhelishvili's theory [[
The stiffness of the fillet foundation of single-tooth engagement can be described as follows:
where the special coefficients which are developed by polynomial functions, such as
where the
The fillet-foundation stiffness of double-tooth engagement with structural coupling effects can be given by:
where the coefficients of
In addition, Hertzian contact stiffness is used to define the deformations from the contact field of gear pairs, and contact deformation is generally described as a non-linear variation by considering tooth modification [[
where
In general, the gear pair contact process is carried out in the lubrication state, that is, the contact position of the tooth surface includes micro convex body contact and oil film contact [[
For the line lubrication of the gear contact, the EHL model at any meshing angle of tooth contact can be given as [[
where coefficient b is half width of Hertzian contact,
where
The gear contact of the EHL line can be determined as the model between an elastic body with a comprehensive curvature radius and a rigid flat. The elastic deformation of the oil film generally occurs within the normal contact field of the gear pair under the rated lubricant pressure-viscosity relation and the oil film between the contact field of elastic bodies is equivalent to a minimal mass of spring element as shown in Figure 2, where
where b is the contact width,
Graph: Figure 2 Schematic of gear contact with EHL film.
Based on the above stiffness calculation, the overall meshing stiffness for the gear pairs can be estimated by
where the subscript i represents the ith meshing gear teeth.
In this section, an EHL line contact model is utilized to evaluate the TVMS of oil film under the cracked gear. In this model, the oil film thickness is employed to calculate the elastic deformation of the oil film by considering the variation trend of the oil film thickness with the crack of the tooth root because the profile variation of the oil film induced by the cracked tooth is involved in TVMS. Ma et al. [[
Graph: Figure 3 Schematic of crack propagation in Ma et al. [ 19 ]: (a) q ≤ q 1 max , (b) q ≥ q 1 max.
Graph: (b)
When
when
For the pair of gears with EHL contact, the elastic contact between the gears is made in contact with the rigid plane by an elastic cylinder with the equivalent radius of curvature R and the elastic modulus E, as shown in Figure 4. The thickness of the oil film in the contact position will modify as the tooth surface elastically deforms due to cracked roots. Also, the elastic deformation of the tooth surface for the calculation of the stiffness of the oil film is still affected by cracked tooth root.
Graph: Figure 4 Line contact model of oil film.
To evaluate the variation in the stiffness of the oil film under the root crack, the elastic deformation of the tooth surface is investigated under a uniform linear load. As seen in Figure 5, the shadow of the slash is the deformation of the tooth surface caused by the root crack, which defined as
Graph: Figure 5 Schematic of the oil film deformation of gear contact with lubrication: (a) single tooth deformation and (b) tooth surface deformation.
As the lubricant flows through the contact domain of gear pairs, the normal displacement of the oil film is caused by contact bending and Hertzian deformation, as given in (
Therefore, the dimensionless equation of oil thickness in (
Given by (
In this section, a mathematical model of the pair of gears is used to compare with the AM method to understand the effect of the proposed method on the oil film stiffness of TVMS under cracked gear. The research framework is shown in Figure 6. The parameters of the calculated gear pair are given in Table 1. The overall time of teeth meshing is taken as the angle of the circle, θ = 17. Figure 7 illustrates the results of TVMS based on the health gear between the AM and proposed method, and to compare with AM, and proposed method, ISO-6336-1-2006 is introduced for demonstrating the error criterion of two methods in Table 2.
Graph: Figure 6 The research framework of the proposed method.
Table 1 The gear and lubricant parameters.
Description Values Normal module 2.5 mm Number of teeth 37 Pressure angle 20° Face width 20 mm Young's modulus 206 GPa Lubricant temperature 30°C Poisson's ratio 0.3 Initial lubricant viscosity 0.08 Pa·s Initial lubricant density 870 kg/m3 Rotation speed 600 rpm Surface sliding velocity 9 m/s
Graph: Figure 7 TVMS results of the proposed method and AM for health gear.
Table 2 Relative error of TVMS with different methods.
Maximum stiffness of single contact/108 (N/m) Relative error with ISO (%) Average stiffness of total meshing/108 (N/m) Relative error with ISO (%) AM 3.6481 30.55 5.7605 28.32 FEM 3.7634 34.67 5.6241 25.28 Proposed method 2.7072 3.12 4.0618 9.51 ISO standard 2.7944 0 4.4891 0
From Figure 7 and Table 2, the TVMS result obtained in the proposed method is lower than that of the TVMS of the AM and FEM methods in both the double-contact meshing area and the single-contact meshing area. The differences between the proposed method and AM under the maximum stiffness of single contact and the average stiffness of total meshing are 0.9409 × 10
The overall stiffness of the meshing that varies with the contact force along the line of action (LOA) is calculated. Figure 8 designates the relative results of the TVMS when the contact forces are 100, 200, 300, 400, and 500 KN/m. From Figure 8, it can be found that the increment of TVMS is increased with the continuous increase of contact force, and the increasing TVMS in the double-tooth contact area is more than the single-tooth contact area of TVMS.
Graph: Figure 8 The TVMS result varies with different contact forces: (a) overall trend, (b) close-up of first double-tooth pairs, (c) close-up of single-tooth pairs, and (d) close-up of second double-tooth pairs.
Graph: (b)
Graph: (c)
Graph: (d)
The curve of TVMS variation under different speed increments along LOA is shown in Figure 9. As the rotation speed increases, the oil entrainment velocity between the contact surface increases as the pinion rotation speed increases, simultaneously increasing the oil film thickness and decreasing the oil film stiffness. The reason for this result is that the normal stiffness of the elastic contact is independent of the entrainment velocity, which remains constant with increasing speed. From Figure 9, it is found that with the rotation speed of pinion increases, the reduction rate of TVMS in the double-contact region is greater than that in the single-contact region, and with the continuous increase of rotation speed, the varying rate of TVMS is significantly reduced. Furthermore, to calculate the TVMS of the cracked root along the entire width of the tooth under a meshing cycle, the crack angle is set as α
Graph: Figure 9 The TVMS result varies with different rotation speeds: (a) overall trend, (b) close-up of first double-tooth pairs, (c) close-up of single-tooth pairs, and (d) close-up of second double-tooth pairs.
Graph: (b)
Graph: (c)
Graph: (d)
Graph: Figure 10 Comparison of TVMS for gear healthy and 3 cases of crack failure.
As seen in Figure 11, the double-tooth meshing region and the single-tooth meshing region are enlarged to compare the TVMS results of the cracked root under the EHL contact calculation. Furthermore, with increasing root crack level, the TVMS reduction rate in the first double-tooth contact region is much higher than that in the second double-tooth contact region because the reduction part of inertia moment
Graph: Figure 11 Enlarged view of TVMS in different meshing intervals: (a) first double-tooth, (b) single-tooth, and (c) second double-tooth.
Graph: (b)
Graph: (c)
To study the vibration feature of the cracked tooth considering the TVMS of oil film, this section has established a dynamic lumped model of a single-state gear system with 6-DOF, and the dynamic response of the cracked tooth is applied in which the dynamic parameter of the TVMS is estimated in Section 2 to find the failure mechanism of the cracked gear for analyzing time domain, frequency domain and statistical characteristic of vibration signal. The dynamic model adopts a classical 6-DOF gear meshing model which includes 2 rotation of moment inertias and 4 translational inertias for the pinion and gear, and Figure 12 evidence the 6-DOF dynamic model diagram.
Graph: Figure 12 Dynamic model of single stage gear pair with 6 DOF.
The equation of dynamic motion with 2-rotational moments of inertia are given by
For the x-axis direction, the equations of the 2-translational moment are as follows:
For the y-axis direction, the other 2-translational moments are as follows:
where I, m, C, and K denote the moment of inertia, mass, damping, and stiffness for dynamic system of gear pair, respectively, and the subscript p and
Considering TVMS and contact damping of gear pair, the dynamic mesh force F can be expressed as follows:
where
where
Also, the friction force
where
To investigate the effect of crack defects on the vibration feature of dynamic response, the 3 cases corresponding to different crack depths of tooth root are considered, and the gear mesh stiffness which is about to put in dynamic model are shown in Figure 13. The TVMS of health teeth is tiled into a whole meshing cycle, while the TVMS of cracked teeth is substituted into the position of the fifth meshing tooth, and it is clear to observed the reduction of meshing stiffness for the cracked gear with 0.5 mm, 1.0 mm, and 1.5 mm, which hints at the significant variety in the vibration responses of tooth cracked defects.
Graph: Figure 13 The TVMS in one rotation period for 4 cases of gear pair: (a) healthy gear, (b) 0.5 mm cracked, (c) 1.0 mm cracked, and (d) 1.5 mm cracked.
Graph: (b)
Graph: (c)
Graph: (d)
The detailed parameters of the dynamic model with the gear pair are given in Table 3. Considering the TVMS of the gear pair shown in Figure 13 into the dynamic model, the vibration response of the 6-DOF dynamic model at the x-direction of the driven gear for 4 condition cases is extracted as shown in Figure 14. For the dynamic response of the healthy case, the time-domain response depicts the period motion of the smooth and steady meshing vibration, which coincides well with the TVMS of the one time period. With the presence of the cracked tooth root and the reduction of the TVMS on the fifth tooth, the cracked tooth meshes once per revolution. Therefore, it is clearly found that the response amplitude of the fifth tooth is supposed to appear as obviously impulse in the time domain of Figure 14, when the cracked tooth is in contact. The enlarged view in the time domain of the cracked response of 4 cases (in Figure 15) shows that the time interval between the three crack impulses is 0.0027 s, which is approximately equal to the meshing period of one tooth
Table 3 The parameters used for dynamic modeling.
Description Symbol Parameters Mass of pinion and gear 1.133 kg Mass moment inertia of pinion and gear 2.813 × 10−3 kg·m2 Radial stiffness of pinion and gear 6.56 × 108 N/m Radial damping of pinion and gear 1.8 × 103 N·s/m Torsional damping between meshing teeth 67 Friction coefficient of meshing teeth 0.02 Time-varying meshing stiffness Given by Figure 13 Rotation speed of pinion 600 rpm
Graph: Figure 14 Dynamic responses of gear with x direction for the 4 cases: (a) healthy gear, (b) 0.5 mm cracked, (c) 1.0 mm cracked, and (d) 1.5 mm cracked.
Graph: (b)
Graph: (c)
Graph: (d)
Graph: Figure 15 (a) Enlarged view of impulse region for dynamic responses, (b) enlarged view of region-A, (c) enlarged view of region-B, and (d) enlarged view of region-C.
Graph: (b)
Graph: (c)
Graph: (d)
Furthermore, considering that the root of the only cracked tooth is cracked, the modulation effect of the root crack occurs once per revolution, and the modulation frequency is usually the shaft frequency
Graph: Figure 16 The frequency spectrum of the dynamic response with healthy gear.
Graph: Figure 17 The frequency spectrum of dynamic response with the 0.5 mm cracked.
Graph: Figure 18 The frequency cepstrum of dynamic response with the 0.5 mm cracked.
Graph: Figure 19 The frequency spectrum of dynamic response with the 1.0 mm cracked.
Graph: Figure 20 The frequency cepstrum of dynamic response with the 1.0 mm cracked.
Graph: Figure 21 The frequency spectrum of dynamic response with the 1.5 mm cracked.
Graph: Figure 22 The frequency cepstrum of dynamic response with the 1.5 mm cracked.
In comparison between the health gear and 3 cracked depths for the dynamic response spectrum, the sideband of rotation frequency of cracked gear appears around the high-harmonic gear mesh frequency as shown in Figures 16–22, and the results of cepstrum analysis present several obviously periodic impulses in which the component scale of frequency is the drive shaft frequency
Table 4 Comparison of the average amplitude of the sideband for healthy and 3 crack cases.
Cases Average amplitude of sideband (m/s2) Relative increment with heathy gear (×100%) Impulse amplitude of cepstrum (m/s2) Relative increment with heathy gear (×100%) Healthy 0.001759 0 0.1433 0 0.5 mm 0.007428 3.22 0.3713 0.61 1.0 mm 0.018162 9.32 0.4229 1.95 1.5 mm 0.034619 18.68 0.7237 4.05
For instance, the average amplitude of sideband, at healthy gear is 1.759 × 10
As the gear pair appears to have a tooth root crack that can cause vibration variation in dynamic responses, the 4 vibration indicators are introduced to analyze the cracked gear of vibration feature and failure level. These characteristic indicators of signal analysis are the statistic statement based on the vibration characteristic of the dynamic response, including sideband ratio (SBR), kurtosis, root mean square (RMS), and frequency of root mean square (RMSF) [[
where x(n) is the signal series in the time-domain which n = 1, 2, ..., N, s(n) is the spectrum line of x(n), f(k) is the amplitude of the harmonic of kth meshing
where X presents the characteristic indicator (RMS, Kurtosis, RMSF, and SBR), and the subscript i denotes the crack depth of 0.5 mm, 1.0 mm, and 1.5 mm.
The four typical feature indicators which can significantly reflect the effect of the vibration feature at the different crack depths are given in Table 5. From Figure 23, it is shown that these indicators modify with the increase in crack depth of tooth root, and the change trend of the indicators is gradually increasing. When the crack appears in an early failure such as 0.5 mm depth, the increment course of the indicator SBR is obvious that it is higher than 1.9593 and the percentage of increment of SBR is 0.5850 compared to healthy and 0.5 mm cracked. Therefore, the SBR feature is better than other indicators to detect cracks in the tooth root in the early stages of the defect. In Figure 24, the feature indicators are initialized incrementally and normalized to observe the detection mechanism for the indicator curve varying with the crack depth. RMS, Kurtosis, and SBR obviously increase even at the moderate stage of crack failure, and the increment percent of RMS, Kurtosis, and SBR at the 0.5 mm to 1.0 mm are 7.04%, 50.31%, and 81.47%, respectively, which demonstrate better detection in tooth root crack failure. But the incremental ratio of the RMSF performance is relatively poor detection, at only 0.48%. Differently in other crack stages, these 4 indicators are obviously sensitive in serious crack failure (1.5 mm) from Fig. 24(b), which increment percent of the 4 indicators is 13.62%, 171.85%, 5.53%, and 120.15%, respectively. Therefore, in the four cases of gear stage, all these indicators can reflect the variation principle of the crack failure, while these 3 indicators of RMS, Kurtosis, and SBR can efficiently detect the increase of crack failure for 1.0 mm and 1.5 mm, and the indicator of RMSF exhibits high sensitivity at early failure of a 0.5 mm crack due to the RMSF showing the average vibration amplitude in spectrum.
Table 5 Comparison of characteristic indicators for healthy and 3 crack cases.
Cases Arithmetic value of indicators Increment percent of indicators (×100%) RMS Kurtosis RMSF SBR RMS Kurtosis RMSF SBR Healthy 0.3799 2.7312 0.1167 3.3490 0 0 0 0 0.5 mm 0.3882 2.8192 0.1317 5.3084 0.0219 0.0322 0.1288 0.5850 1.0 mm 0.4149 4.1933 0.1323 8.0368 0.0923 0.5353 0.1336 1.3997 1.5 mm 0.4743 8.8871 0.1387 12.0606 0.2485 2.2538 0.1889 2.6012
Graph: Figure 23 The indicator value is modified with different crack depths: (a) RMS, (b) Kurtosis, (c) RMSF, (d) SBR.
Graph: (b)
Graph: (c)
Graph: (d)
Graph: Figure 24 (a) Increment proportion of 4 indicators and (b) normalized proportion.
Graph: (b)
In this paper, an improved TVMS calculation model is proposed that considers oil film stiffness in EHL line contact for crack failure of the tooth root. This model employs the thickness of the oil film to estimate the elastic deformation of the oil film in gear contact, considering the variation in the profile of the oil film induced by the cracked tooth root. The TVMS result is calculated by combining the stiffness of the body contact and the contact of the oil film, and the overall result of the mesh stiffness of the proposed model decreases because of the stiffness of the oil film. The effect of the two parameters of work condition (rotation speed and contact force) of gear in the proposed model on the TVMS is also investigated. The TVMS of the oil film depends mainly on the rotation speed because the increase in rotation speed affects the oil film thickness, which is related to the stiffness of the oil film. Therefore, the TVMS decreases as the rotation speed is increased throughout the meshing period. And a 6-DOF dynamic model is produced to analyze the vibration behaviors using the calculated oil film TVMS. From the time-domain analysis, frequency-domain analysis, and statistical indicator analysis, the impulse amplitude of vibration response obviously increases when the crack depth increases, and the spectrum line of the sideband with the rotational frequency as the bandwidth appears around the harmonic of the meshing frequency.
Data availability is not applicable to this article as no new data were created or analyzed in this study.
The authors declare that they have no conflicts of interest.
This research was financially supported by the National Natural Science Foundation of China (Grant nos. 51875183 and 51975193) and the Research Foundation of Education Bureau of Hunan Province, China (Grant no. 22B0199).
By Jiateng Wu; Zhenqi Du and Chengbiao Tong
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