Beryllium in stress-critical environments

Marder, James M.

doi:10.1007/bf02833456

Cited by 9 publications

(1 citation statement)

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“…These properties include high elastic modulus, low density, high melting point, high heat capacity, high thermal conductivity, non-magnetism and superior optical qualities. Consequently, the aerospace industry has found a use for these materials in engines (Marder 1986), navigational systems (Marder 1984), and brakes (Paine and Stonehouse 1977). The optical field has found a use for beryllium in mirrors (Clement et al 1992).…”

Section: Beryllium Powder Processingmentioning

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: Beryllium Powder Processingmentioning

confidence: 99%