The quantitative study of the relationship between material composition, microstructure and properties is of great importance for the improvement in material properties. In this study, the continuous data of elemental composition, recrystallization, hardness and undissolved phase distribution of the same sample in the range of 60 to 150 square millimeters were obtained by high-throughput testing instrument. The distribution characteristics and rules of a single data set were analyzed. In addition, each data set was divided into micro-areas according to the corresponding relationship of location, and the mapping between multi-source heterogeneous micro-area data sets was established to analyze and quantify the correlation between material composition, structure and hardness. The conclusions are as follows: (1) the average size of the insoluble phase in the middle of the two materials is larger than that of the surface, but due to the existence of central segregation, the average area of the T4 insoluble phase showed an abnormal decrease; (2) there was positive micro-segregation of Al, Cr, Ti, and Zr elements, and negative micro-segregation of Zn, Cu, and Fe elements in the recrystallized grains of the T5 middle segregation zone; (3) the growth process of the insoluble phase was synchronous with the recrystallization proportion and the size of the recrystallized grains; (4) the composition segregation and recrystallized coarse grains were the main reasons for the formation of low hardness zone in T4 and T5 materials, respectively.

Microscopic content segregation is among the important reasons for the anisotropy of mechanical properties in the cast-rolled sheets of the 7B05 aluminum alloy. It is of great significance to study the uniformity of aluminum alloys in terms of the microscopic composition and structure. In this study, a precise method for composition quantification based on micro-beam X-ray fluorescence spectroscopy is established by parameter optimization and a calibration coefficient. Furthermore, this method was applied for exploring and quantifying the relationship between recrystallization and deformation microstructures. The results show that the comprehensive measurement effects of all elements are the best when the X-ray tube voltage is 50 kV, the current is 150 μA, and the single-pixel scanning time is 100 ms. After verification, the sum of differences between the measured values and the standard values for all elements using the calibration coefficient is only 0.107%, which confirms the accuracy of the optimized quantitative method. Three types of segregation indexes in national standards were used to capture small differences, and finally ensure that the segregation degrees of elements are Ti > Fe > Cr > Cu > Mn > Zr > Zn > Al. The quantitative segregation results obtained by the spatial-mapping method show that the difference in the content of Al and Zn is approximately 0.2% between the recrystallization region and the deformation region, the difference in the content of Fe and Ti is 0.018% and 0.013%, the difference in the content of Cr, Cu and Zr is approximately 0.01%, and the difference in the content of Mn is not obvious, only 0.004%.

To overcome the limitations of traditional coating aging evaluation methods, such as strong subjectivity, single-indicator focus, and lack of electrochemical validation, this study systematically investigates a Q235 steel/epoxy zinc-rich/acrylic polyurethane composite coating. Salt spray, ultraviolet (UV), and Qingdao marine atmospheric natural exposure tests were conducted to obtain data on the evolution of the coating's appearance, mechanical, and electrochemical properties under multiple environments. A comprehensive model for evaluating appearance was constructed using the Analytic Hierarchy Process (AHP), encompassing eight key aging indicators including gloss loss, color change, blistering, rusting, and cracking. The consistency test (CR=0.042 < 0.1) validated the rational assignment of weights. Furthermore, quantitative relationships were established between the comprehensive score and the low-frequency electrochemical impedance modulus (|Z|₀.₀₁Hz) as well as adhesion. A coating life prediction method based on multi-index synergistic degradation was proposed, enabling the classification of corrosion resistance levels through changes in appearance and morphology. The research demonstrates that this model effectively integrates multi-dimensional degradation information, advancing the coating aging assessment from qualitative description to quantitative evaluation, and significantly enhancing the accuracy and engineering applicability of life prediction.