Predicting shot peening coverage using multiphase computational fluid dynamics simulations

Nguyen, Van Bo; Poh, Hee Joo; Zhang, Yong‐Wei

doi:10.1016/j.powtec.2014.01.097

Cited by 50 publications

(29 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The simulation results are then compared with our experimental measurements. It should be noted that the developed modeling method was validated in our previous work [15] by comparing numerical results of airflow velocity, particle velocity, and particle distribution at some standoff distance with experimental results [32].…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…The volume fraction of the sand particles is sufficiently small so that the effect of the sand particle volume can be neglected. Thus, the governing equations for airflow can be expressed as [13][14][15]:…”

Section: Continuum Phase (Airflow Phase)mentioning

confidence: 99%

“…Assume that the details of the flow around the particles (for example, vortex shedding, flow separation, boundary layers) are neglected. The model tracks the particle trajectories by integrating the force balance on the particle [14,15,[20][21][22] as follows:…”

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

“…The parcel, here, is defined as a small fluid region where the particle passes through at time t. The fluctuating velocity, u 0 xðtÞ; t ð Þ, depends on the global turbulent quantities of k and ω. In this study, the fluctuation velocity of the gas phase, u 0 xðtÞ; t ð Þ, follows the Gaussian distribution with a standard deviation of ffiffiffiffiffiffiffiffiffiffi ffi 2k=3 p [14,15], and k is the turbulent kinetic energy determined from the transport SST k-ω turbulent model [16,17].…”

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

“…In order to track the sand particle in simulations, the particle trajectories are numerically solved by stepwise integration over discrete time steps [14,15,23] of Eqs. (7 and 8) using stochastic tracking technique.…”

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

See 4 more Smart Citations

Effect of air-borne particle–particle interaction on materials erosion

Nguyen

Lim

et al. 2015

Wear

View full text Add to dashboard Cite

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Continuum Phase (Airflow Phase)mentioning

confidence: 99%

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

Section: Discrete Particle Phase (Sand Particle Phase)mentioning

confidence: 99%

See 3 more Smart Citations

Effect of air-borne particle–particle interaction on materials erosion

Nguyen

Lim

et al. 2015

Wear

View full text Add to dashboard Cite

Experimental and numerical investigation of mechanical and erosion behavior of barium sulphate filled glass fiber reinforced polymer composites

et al. 2020

View full text Add to dashboard Cite

This research work evaluates the effect of barium sulphate contents on the physical, mechanical, dynamic mechanical, and erosion wear properties of fixed glass fiber reinforced epoxy composites. Composites with 0 to 30 wt% barium sulphate were prepared by vacuum assisted resin transfer molding (VARTM) technique under controlled pressure condition. The manufactured composites were characterized for physical (density, void content, and hardness), mechanical (tensile, flexural, and inter‐laminar shear strengths), dynamic mechanical, and erosion wear properties including numerical and experimental analysis. Experimental results show that the addition of increased barium sulphate content results in increased density, void content, hardness, interlaminar shear strength, and fracture toughness of the composites, while tensile and flexural properties were found to decrease above 10 wt% barium sulphate content. Erosion results revealed that the maximum wear rate was found between the ranges of 45° to 75° impingement angle, which shows semi‐ductile nature of the composites. Moreover, computational fluid dynamic (CFD simulation by ANSYS fluent) analysis was introduced to calculate the erosive wear rate, erosion scar, and then tracking the particle trajectories in order to validate the numerical results by comparing the obtained experimental results for validation. Finally, the erosion efficiency was calculated as a function of impact velocity of the proposed particulate filled composites and eroded samples were analyzed through scanning electron microscope to observe the wear characteristics of the composites.

show abstract

Process Model for Evaluating the Peen Velocity in Shot Peening Machine

Nguyen

Teo

et al. 2019

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Predicting shot peening coverage using multiphase computational fluid dynamics simulations

Cited by 50 publications

References 32 publications

Effect of air-borne particle–particle interaction on materials erosion

Effect of air-borne particle–particle interaction on materials erosion

Experimental and numerical investigation of mechanical and erosion behavior of barium sulphate filled glass fiber reinforced polymer composites

Process Model for Evaluating the Peen Velocity in Shot Peening Machine

Contact Info

Product

Resources

About