On the erosive wear of 304 L stainless steel caused by olive seed particles impact: Modeling and experiments

Bahri, Amir; Guermazi, Noamen; Elleuch, Khaled; Ürgen, Mustafa

doi:10.1016/j.triboint.2016.06.020

Cited by 25 publications

(10 citation statements)

References 33 publications

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“…In general, the response of metals under high-speed impact conditions involves consideration of effects of strain, strain rate and temperature. The Johnson-Cook plasticity model [39][40][41] is employed to model the flow stress behavior of ductile materials. The Johnson-Cook model represents the Von Mises flow stress σ y as a function of some parameters as follows…”

Section: Constitutive Equationmentioning

confidence: 99%

Stochastic Material Point Method for Analysis in Non-Linear Dynamics of Metals

Chen

Shi

et al. 2019

Metals

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A stochastic material point method is proposed for stochastic analysis in non-linear dynamics of metals with varying random material properties. The basic random variables are parameters of equation of state and those of constitutive equation. In conjunction with the material point method, the Taylor series expansion is employed to predict first- and second-moment characteristics of structural response. Unlike the traditional grid methods, the stochastic material point method does not require structured mesh; instead, only a scattered cluster of nodes is required in the computational domain. In addition, there is no need for fixed connectivity between nodes. Hence, the stochastic material point method is more suitable than the stochastic method based on grids, when solving dynamics problems of metals involving large deformations and strong nonlinearity. Numerical examples show good agreement between the results of the stochastic material point method and Monte Carlo simulation. This study examines the accuracy and convergence of the stochastic material point method. The stochastic material point method offers a new option when solving stochastic dynamics problems of metals involving large deformation and strong nonlinearity, since the method is convenient and efficient.

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Section: Constitutive Equationmentioning

confidence: 99%

Stochastic Material Point Method for Analysis in Non-Linear Dynamics of Metals

Chen

Shi

et al. 2019

Metals

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“…Phosphate content is an important composition in the cultivation area to increase the growth of seaweed, so that phosphate concentration can affect the fertility and productivity of water lands (Bahri et al 2016). Phosphate deficiency will reduce the productivity of seaweed commodities in the cultivation area.…”

Section: Input Layer Hidden Layer Output Layermentioning

confidence: 99%

Potential Area Mapping for Seaweed Aquaculture Based on Interval Type-2 Fuzzy Sets and Multi-Layer Perceptron Algorithm.

Sarinah¹

2019

IJAR

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“…Geometric model was corresponded to the experimental. The most commonly used model of the material behavior in a wide range of strain rates in dynamic calculations is the one of Johnson-Cook [4][5][6][7]. It takes into account the dependence of the yield surface on the accumulated plastic strain, strain rate, and temperature.…”

Section: Numerical Simulationmentioning

confidence: 99%

Study of the penetration of a plate made of titanium alloy VT6 with a steel ball

Buzyurkin¹

2018

AIP Conference Proceedings

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On the erosive wear of 304 L stainless steel caused by olive seed particles impact: Modeling and experiments

Cited by 25 publications

References 33 publications

Stochastic Material Point Method for Analysis in Non-Linear Dynamics of Metals

Stochastic Material Point Method for Analysis in Non-Linear Dynamics of Metals

Potential Area Mapping for Seaweed Aquaculture Based on Interval Type-2 Fuzzy Sets and Multi-Layer Perceptron Algorithm.

Study of the penetration of a plate made of titanium alloy VT6 with a steel ball

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