One-dimensional convolutional neural network-based analysis of dielectric spectral abundance in liquid-phase media.

Aiming at the difficult problem of component information analysis of mixed dielectric spectra, the component information characteristics of mixed dielectric spectra are investigated by one-dimensional convolutional neural network, and the component analysis of mixed media is realised. First, the mixed dielectric spectra of water, ethanol and isopropoxyethano (iso) with different volume ratios were obtained by experimental measurements, and the singular spectrum analysis (SSA) method was applied to denoise the raw data, which provides a new data processing method for the effective analysis of dielectric spectra. Then, Utilizing the linear mixing model, we systematically obtained the dielectric spectra of binary mixtures of pure water and isopropoxyethanol with diverse ratios, along with those of multi-component mixtures integrating water, ethanol, and isopropoxyethanol at various proportion settings.

The Effect of Ti Particles Addition on the Microstructure and Mechanical Behavior of Mg AZ31/Al 6082 Composite Sheets.

In this study, Ti particles reinforced Mg AZ31/Al 6082 composite sheets were successfully prepared by hot rolling, with the aim of revealing the effect of Ti particles addition on the mechanical behavior and microstructure of Mg AZ31/Al 6082 composite sheets. The results showed that Ti particles were uniformly distributed at the interface of the Mg/Al-Ti composite sheets, which could greatly reduce the amount of Mg-Al intermetallic compounds during annealing treatment. Compared to the Mg/Al sheet, the tensile strength and elongation of the Mg/Al-Ti sheet could be improved simultaneously after the annealing treatment.