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A strong static magnetic field (SSMF) of about 10 T was introduced to the aging process of AZ91 magnesium alloy. Comparing with conventional aging, in the first stage of aging with SSMF, discontinuous precipitation of Mg17Al12 at grain boundary was accelerated. The magnetically induced grain boundary migration might be responsible for this acceleration effect. The density of the Mg17Al12 continuous precipitates inside the grains was increased and the precipitation plates became thinner in SSMF pre-aged specimens, which might be ascribed to the retarded volume diffusion resulted from the SSMF.

This paper study on the problem of fuzzy multi-objective optimization, provides the method uses multi-objective fuzzy matter-element optimization to solve the problem of multi-objective programming which the parameter of the model is fuzzy, and provides the process of a fuzzy simulated based genetic algorithm to solve this problem. And a instance of multi-objective optimization of fuzzy reliability is given, verified the genetic algorithm based on fuzzy simulation of multi-objective matter-element is validity, and the virtue of the algorithm not only can solve the problem that the objective function is generalized function, but also can solve the problem that the objective function is normal function.

Intermediate phase growth in Mg-Al diffusion couples were studied with different intensity of a strong static magnetic field from 0 to 10 Tesla. Thickness measurement of the intermediate phases (Mg17Al12 and Al3Mg2) shows that with the increasing of magnetic field intensity, the growth rate of both intermediate phases is retarded. The decrease of the phase growth rate is ascribed to the suppressed Al, Mg atom interdiffusion in the diffusion couple under the static magnetic field. It is also found that the orientation relationship between couple interface and magnetic field direction has no influence on the growth of intermediate phases.