Smoothed particle hydrodynamics study of friction of the coarse-grained α-Al2O3/α-Al2O3 and α-Fe2O3/α-Fe2O3 contacts in behavior of the spring interfacial potential

Sang, Le Van; Yano, Akihiko; Isohashi, Ai; Sugimura, Natsuko; Washizu, Hitoshi

doi:10.1016/j.triboint.2019.03.015

Cited by 8 publications

(2 citation statements)

References 32 publications

(36 reference statements)

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“…FDPS is designed for improving the efficiency of the calculation loads and the load balances by employing a three-dimensional domain decomposition using the Multi-Section method [22], calculating long-range interactions using the Burnes-Hut algorithm, and calculating short-range interactions using the tree-search based neighbor list [23,24]. Thus, users only have to define the parameters of the particles and particle interactions, but do not have to program the codes related to the parallelization [25][26][27][28][29]. In this study, long-range interactions are not important, but the automatic domain decomposition is very important due to the discrete nature of the system.…”

Section: Simulationmentioning

confidence: 99%

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Improvement of Discrete Element Simulation Accuracy of Steel Powder Filling Behavior by Optimization of Contact and Friction Parameters

et al. 2021

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The filling behavior of Fe-Ni-Mo steel powder for sintered machine parts is simulated using our original DEM (Discrete Element Method) code based on FDPS (Framework for Developing Particle Simulator). The difference between the simulated and experimental apparent densities after self-weight filling is only -6.7%, which is a significantly higher prediction accuracy than the prior study. This result is obtained by only calculating the repulsive force, viscous damping, friction force and gravity using the actual Young's modulus. This is due to using the experimental friction coefficients and the upper limit setting of the distance between the particle surfaces based on the experimental study. This method can be used to simulate the porosity, especially the low density region, in the actual filling process.

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Section: Simulationmentioning

confidence: 99%

“…The average restitution coefficient simulated with these parameters is 0.20, which is suppressed to approximately 23% of the experimental value of 0.26. In order to obtain the experimental parameters by a pure theoretical scheme, we need to complete the microscopic friction model [26][27][28][29].…”

Section: Simulationmentioning

confidence: 99%