Isostatic pressing diagrams for beryllium

Stoev, P. I.; Papirov, I. I.; Tikhinskii, G.F.; Васильев, А. А.

doi:10.1007/bf02676082

Cited by 3 publications

(2 citation statements)

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“…The refractory nature of BeO hinders the diffusion of beryllium and thus increases the effective activation energy of diffusion of the powder. The effects of BeO on the parameters of the micromechanical modelling of beryllium has been previously addressed (Stoev et al 1995). In Stoev's work, effective diffusion coefficients were developed to account for the hindering effect of BeO on beryllium diffusion.…”

Section: Resultsmentioning

confidence: 99%

Optimization of densification modelling parameters of beryllium powder using a fuzzy logic based multiobjective genetic algorithm

Reardon¹

1998

Modelling Simul. Mater. Sci. Eng.

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A fuzzy logic based multiobjective genetic algorithm (GA) is used to optimize micromechanical densification modelling parameters for warm isopressed beryllium powder. In addition to optimizing the 19 main parameters of the model with 17 objective functions (experimental data points), the GA provides a quantitative measure of the sensitivity of the model to each parameter, estimates the mean particle size of the powder, and determines the smoothing factors for the transition between stage 1 and stage 2 densification. While the GA does not provide a sensitivity analysis in the strictest sense, and is highly stochastic in nature, this method is reliable and reproducible in optimizing parameters given any size data set and determining the impact on the model of slight variations in each parameter.

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Section: Resultsmentioning

confidence: 99%

Optimization of densification modelling parameters of beryllium powder using a fuzzy logic based multiobjective genetic algorithm

Reardon¹

1998

Modelling Simul. Mater. Sci. Eng.

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“…The refractory nature of Be0 hinders the diffusion of beryllium and thus increases the effective activation energy of diffusion of the powder. The effects of Be0 on the parameters of the micromechanical modeling of beryllium was previously addressed [21]. In Stoev's work, effective diffusion coefficients were developed to account for the hindering effect of B e 0 on beryllium diffusion.…”

Section: Resultsmentioning

confidence: 99%

Advances in beryllium powder consolidation simulation

Reardon¹

1998

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Variant of the plasticity condition for powdered solids

Amosov

Fedotov

2000

Powder Metall Met Ceram

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Isostatic pressing diagrams for beryllium

Cited by 3 publications

References 2 publications

Optimization of densification modelling parameters of beryllium powder using a fuzzy logic based multiobjective genetic algorithm

Optimization of densification modelling parameters of beryllium powder using a fuzzy logic based multiobjective genetic algorithm

Advances in beryllium powder consolidation simulation

Variant of the plasticity condition for powdered solids

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