Effect of shot peening on residual stress distribution and tribological behaviors of 17Cr2Ni2MoVNb steel

Zhang, Yalong; Lai, Fuqiang; Qu, Shengguan; Ji, Vincent; Liu, Haipeng; Li, Xiaoqiang

doi:10.1016/j.surfcoat.2020.125497

Cited by 60 publications

(26 citation statements)

References 48 publications

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“…Such damages created by overlapping of peening dimples and surface plastic deformation can often be found around the hobbing marks or between dimple boundaries, which could cause premature crack initiation on tooth flanks. Some researchers also got the similar SEM characterization observations on other materials [10,[41][42][43][44][45][46][47]. To conclude, it is inevitable that defects generate on the peened surface of gears as clearly seen in the SEM images.…”

Section: Microtopographymentioning

confidence: 56%

Determination of the optimal coverage for heavy-duty-axle gears in shot peening

Yan

Zhu

Chen

et al. 2021

Int J Adv Manuf Technol

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Pitting and wear often appear on heavy-duty-axle gears due to their harsh working conditions, such as high torques, high loads and poor lubrication. Shot peening is a popular surface strengthening method for gears. In order to ensure complete coverage during shot peening, 100%~200% coverage is usually prescribed for most gears. However, it is difficult to effectively improve the contact fatigue and wear resistance of heavy-duty-axle gears. Generally, increasing shot peening coverage can heighten the compressive residual stress for prolonging the service lifetime of gears. Whereas, high coverage levels may cause the deterioration of surface roughness, thus increase the noise and vibration of gears. To address this issue, this paper deals with the determination of optimal coverage for heavy-duty-axle gears by experimental tests. The influence of shot peening coverage on the surface integrity of gears is analyzed in terms of residual stress, microhardness, surface morphology and dislocation density. The results show that the maximum compressive residual stress increases first and then keeps stable with the increase of coverage, and the maximum value is −1172.10 MPa. The microhardness peak increases obviously in the beginning and then slowly rises with the increase of coverage, and the maximum value is 747.5 HV1.0. The surface roughness (Ra) decreases initially and then enhances with the increase of coverage, and the minimum value is 0.99 μm under the coverage of 1000%. The dislocation density increases with the increase of coverage, and the maximum value is 3.70×10 16 m -2 . Numerous damages (microscalings, spallings) occur on the treated gear tooth flank affecting the residual stress distribution and roughness under high coverage levels. Taking into consideration of service lifetime, working noise and economic efficiency, the coverage of 1000% is the optimal coverage for heavy-duty-axle gears in shot peening.

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Section: Microtopographymentioning

confidence: 56%

Determination of the optimal coverage for heavy-duty-axle gears in shot peening

Yan

Zhu

Chen

et al. 2021

Int J Adv Manuf Technol

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“…In the subsequent sliding wear process, the adhesive region was sheared; as such, the CoF of the tribo-pair fluctuated macroscopically. Zhang et al [39] investigated the effects of different SP strengthening parameters on the tribological properties of 17Cr2Ni2MoVNb steel and discovered that the CoFs of optimized SP parameters exhibited clear oscillations in the steady wear state of the tribological test.…”

Section: Coefficient Of Frictionmentioning

confidence: 99%

Effect of Shot Peening on Microstructures and High‐Temperature Tribological Properties of 4Cr9Si2 Valve Steel

Jia

et al. 2021

steel research int.

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“…For examples, Tu et al [17] employed a sequential discrete element model (DEM) finite element model (FEM) coupling method to study residual stress and roughness under the effects of process parameters. Zhang [18] performed FEM simulations to study the residual stress distribution and surface tribological behavior. Gariépy et al [19] studied the potential influence of impact velocity variability on residual stress state and surface roughness using FEM and Monte Carlo simulations.…”

Section: Introductionmentioning

confidence: 99%

A blended empirical shot stream velocity model for improvement of shot peening production

Nguyen

Teo

et al. 2021

Int J Adv Manuf Technol

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Peening intensity and coverage are vital measurement outputs to quantify the quality of a peening process in surface enhancement operation of metal parts. In practice, these parameters can only be measured offline upon process completion, which are not suitable for online tracking and operation. Instead, shot stream velocity can be used as a real-time monitoring parameter to bridge operational inputs to the outputs. As such, a robust and accurate shot stream velocity model is needed for real-time tracking. In this study, we propose a blended practical model for shot stream velocity to address the issues. The model is constructed using regression algorithm based on the blended candidate functions, which are developed from experimental data and nature of the particle-air flow inside the system. Obtained model is validated against experimental data for different conditions. Calculated velocities are in good agreement with the measurements. In addition, applications of the model in predicting the shot stream velocity for different peen types, different peening intensities and coverages. The obtained results are comparable to the measurement data. Furthermore, a single-input and single-output model-based control is developed from proposed shot stream velocity model. The developed control system is robust, accurate and reliable. It implies that the developed model can be used to provide necessary information as well as in optimal process control development to improve and accelerate the peening processes to reduce cost and time of actual productions.

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Effect of shot peening on residual stress distribution and tribological behaviors of 17Cr2Ni2MoVNb steel

Cited by 60 publications

References 48 publications

Determination of the optimal coverage for heavy-duty-axle gears in shot peening

Determination of the optimal coverage for heavy-duty-axle gears in shot peening

Effect of Shot Peening on Microstructures and High‐Temperature Tribological Properties of 4Cr9Si2 Valve Steel

A blended empirical shot stream velocity model for improvement of shot peening production

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