3results about How to "Uniform scale" patented technology

The application discloses a high-strength and high-toughness Al-Ca-In series aluminum alloy low-oxygen spherical powder for additive manufacturing and a preparation method thereof, relates to the technical field of additive manufacturing powder, and comprises the following components in percentage by mass: 1.5-3.0% of magnesium, 0.15-0.60% of manganese, 1.0-2.0% of calcium, 0.06-0.25% of indium, 0.08-0.18% of zirconium and 0-0.05% of titanium, and the balance of aluminum and impurities, wherein the total oxygen is not more than 0.10%; the powder surface has a nitrogen-containing diffusion barrier layer with a thickness of 2-8 nanometers and an ultrathin oxide layer with a thickness of 0.5-2.0 nanometers in sequence, and the surface enrichment and interface capture indexes are limited; and the powder is prepared by high-temperature dissolution of manganese and zirconium, low-temperature segmented calcium addition, nitrogen-containing gas atomization and low-temperature micro-oxidation. The powder inhibits the surface migration and oxidation loss of calcium and indium, improves the component stability in recycling and forming, reduces defects and performance dispersion, and is suitable for the high-strength and high-toughness manufacturing consistency of thin-wall lattice load-bearing parts.

This invention relates to a machine learning-based method for early identification and intelligent warning of zoonotic diseases in livestock and poultry, belonging to the field of machine learning technology. It includes the following steps: collecting early identification data of zoonotic diseases in livestock and poultry to construct a dataset; detecting and correcting outliers using the interquartile range method, and adaptively normalizing features based on the Shapiro-Wilk test results; constructing a model containing feature interaction and higher-order feature mining, and disease early identification modules; mining feature interactions and higher-order features to obtain an enhanced feature matrix; outputting the identification probability through dynamic heterogeneity risk scoring and time-series-aware attention aggregation; subsequently training the model, inputting the preprocessed new data into the model to obtain the identification probability, thereby achieving intelligent warning. This invention can improve the accuracy and robustness of early identification of zoonotic diseases in livestock and poultry, providing precise technical support for the prevention and control of zoonotic diseases.

The application discloses a kind of preparation device of biomass-based hard carbon negative material, comprising: surface distortion system, high-energy surface modification system and high-temperature carbonization system.The application also provides a kind of preparation device of biomass-based hard carbon negative material for preparing biomass-based hard carbon negative material using the above preparation method and the application of biomass-based hard carbon negative material prepared by the above preparation method.The preparation device and preparation method of biomass-based hard carbon negative material of the application are based on the principle of biomass heteroatomic doping modification-high temperature pyrolysis carbonization, based on the crystal structure characteristics of hard carbon material, combined with material surface distortion-high-energy surface modification-high-temperature carbonization, which can improve production efficiency and reduce production cost while realizing the efficient preparation of biomass-based amorphous hard carbon negative material.