Combining the finite element method and response surface methodology for optimization of shot peening parameters

Wang, Xiaoli; Wang, Zhou; Wu, Gang; Gan, Jin; Yang, Ying; Huang, Haiming; He, Jiaxi; Zhong, Hanlie

doi:10.1016/j.ijfatigue.2019.105231

Cited by 41 publications

(17 citation statements)

References 20 publications

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“…In order to describe the peening coverage ratio of ordered dimple pattern and stochastic dimple pattern, two different coverage description methods were carried out. Order dimple pattern was realized by the method proposed by Wang et al [39], stochastic dimple pattern was realized via a Python program from our group previous work [40]. Figure 2a,b show 100% peening coverage ratio of order dimple pattern in 4-shots and 16-shots SP models, respectively.…”

Section: Coverage Calculation and Residual Stress Evaluation Methodsmentioning

confidence: 99%

The Effects of Shot Distance and Impact Sequence on the Residual Stress Field in Shot Peening Finite Element Model

Wang

Shi

Gan

et al. 2021

Metals

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In order to investigate the effect of shot distance and impact sequence on the residual stress distribution of 42CrMo steel in shot peening (SP) finite element (FE) simulation, 3D dynamic models with order dimple pattern and stochastic dimple pattern were established via ABAQUS/Explicit 6.14, and the simulation results were compared with experiments. The results show that shot overlap has a significant effect on the residual stress distribution of peened parts. Meanwhile, there is a threshold (related to SP parameter) for shot distance in the vertical and horizontal directions. When the shot distance is greater than the threshold in this direction, the residual stress distribution after SP tends to be stable. The impact sequence has almost no effect on the impact of a small number of shots, but this effect will appear when the number of shots increases. It is necessary to avoid shot overlap and continuous impact of adjacent dimples when the FE model is established; on this basis, the distance between shots and the number of layers of the shots can be reduced as much as possible without affecting the residual stress distribution. In addition, the comparison of simulation and experimental results shows that the residual stress evaluation area consistent with the experimental measurement is essential to obtain accurate residual stress distribution in the FE simulation process.

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Section: Coverage Calculation and Residual Stress Evaluation Methodsmentioning

confidence: 99%

The Effects of Shot Distance and Impact Sequence on the Residual Stress Field in Shot Peening Finite Element Model

Wang

Shi

Gan

et al. 2021

Metals

Self Cite

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“…The notable remark from this study is that a significant increase in RCS in sub-surface is observed with higher peening coverage than higher shot velocity. Wang et al [ 56 ] combined FEM with RSM to optimize the shot parameters for the effective peening 42CrMo specimen, primarily used in river-sea going ships. The optimized shot peening parameters include the shot velocity of 88 m/s, the shot diameter of 0.8 mm, and the coverage ratio of 170%.…”

Section: Peening Techniquesmentioning

confidence: 99%

Peening Techniques for Surface Modification: Processes, Properties, and Applications

et al. 2021

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Surface modification methods have been applied to metals and alloys to change the surface integrity, obtain superior mechanical properties, and improve service life irrespective of the field of application. In this review paper, current state-of-the-art of peening techniques are demonstrated. More specifically, classical and advanced shot peening (SP), ultrasonic impact peening (UIP), and laser shock peening (LSP) have been discussed. The effect of these techniques on mechanical properties, such as hardness, wear resistance, fatigue life, surface roughness, and corrosion resistance of various metals and alloys, are discussed. This study also reports the comparisons, advantages, challenges, and potential applications of these processes.

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“…Nam et al [24] used the response surface methodology for peening process optimization of aircraft structure part under the effects of nozzle distance, pressure, impact angle, and exposure time on the Almen intensity and coverage using quadratic approximations. Wang et al [25] employed the response surface methodology to optimize the response variables (maximum compressive residual stress, the depth of residual stress field, and concentration factor) with dependent variable of shot velocity, shot diameter and coverage ratio based on the obtained FEM results using quadratic polynomial function.…”

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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Combining the finite element method and response surface methodology for optimization of shot peening parameters

Cited by 41 publications

References 20 publications

The Effects of Shot Distance and Impact Sequence on the Residual Stress Field in Shot Peening Finite Element Model

The Effects of Shot Distance and Impact Sequence on the Residual Stress Field in Shot Peening Finite Element Model

Peening Techniques for Surface Modification: Processes, Properties, and Applications

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

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