The objects of our paper are aluminum alloy samples (AASs) contained the different amount of Cu, Mn, Mg, Si and Li. We are modeling the features of microstructure of potential relief of an AAS and studying its transformation under both imposed fatigue deformation and wetted by liquid metals (Ga; or Hg; Li; In). We illustrate the main ideas by using only the “time series” allied with effective internal friction Q-1eff of an AAS. AASs like B-95 or 7075 are heterogeneous materials for which the more energy can be absorbed by selected micro-regions of a tested sample. So micro-crack in the space of AAS and alarm state of AAS arises. Each micro-region will to contribute the Q-1k (the internal friction Q-1k belong to k-th micro-region) to the effective internal friction— Q-1eff accordance with fit statistic . We find a number of micro-regions—L and series gk & Qk from the experimental data like as the internal friction (Q-1)eff versus both the number of cycles—N and the deformation—е. Series gk & Qk (k=1,2,3,...,L) present the microstructures of AASs. In this paper also is presented the original technology to forecast fatigue damage of an AAS. Here the fatigue sensitive element (FSE) used. We made multiphase heterogeneous mixtures (MHMs) which contents a variable volume of initial components. It is selected MHMs are using for produce FSEs. The present paper is aimed to establish the correlation of the FSEs microstructures changes and corresponding changes of the aluminum alloy microstructures at imposing the same spectra deformation on both of them. A change of FSEs microstructure investigated by using their effective electrical resistance Reff data.
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