Abstract: The present disclosure provides a visual model for image analysis of material characterization and analysis method thereof. By collecting and labeling big data of microscopic images, the present disclosure establishes an image data set of material characterization; and uses this data set for high-throughput deep learning, establishes a neural network model and dynamic statistical model based on deep learning, to identify and locate atomic or lattice defects, and automatically mark the lattice spacing, obtain the classification and statistics of the true shape of the microscopic particles of the material, quantitatively analyze the tissue dynamics of the material.

Abstract: A transmission shaft automatic connection and disengagement device and test equipment. An input shaft drives a transmission shaft to rotate through a second connection shaft, a ratchet assembly, a first connection shaft and an output shaft so as to apply an acceleration torque, gears of the input shaft and the first connection shaft can be completely engaged and completely separated through extension and retraction of piston rods of a first group of air cylinders and a second group of air cylinders so as to achieve an effect that when a driving shaft needs to perform driving, a power system gets involved, and after driving is completed, the power system is cut off, and through the ratchet assembly, the transmission shaft can be prevented from driving a motor to work in reverse.

Abstract: The application relates to a wheel with a sound absorption device, wherein the sound absorption device is arranged in a wheel air chamber to reduce acoustic resonance, the sound absorption device comprises two resonance sound absorption structure units which are connected in parallel, a first sound absorption frequency band of a first resonance sound absorption structure unit and a second sound absorption frequency band of a second resonance sound absorption structure unit are adjacent to each other or partially overlap with each other, and the resonance frequency of the wheel air chamber is contained at the adjacent part of the first sound absorption frequency band and the second sound absorption frequency band or in the overlapping area of the first sound absorption frequency band and the second sound absorption frequency band.

Abstract: The disclosure discloses a high-speed spinning magnesium alloy and a preparation method thereof, the magnesium alloy has Mg—Al—Zn—Mn—Sr alloy with a high formability and high strength, and its chemical composition mass percentage is: Al: 2.4-4.5 wt. %; Zn: 0.6-1.2 wt. %; Mn: 0.4-0.6 wt. %; Sr: 0.15-0.3 wt. %; the balance is Mg. The present disclosure adopts the principle that by increasing the content of Mn in the magnesium alloy, a large amount of Mn-rich phase is generated during the alloy preparation process, and the degree of subcooling is controlled so that a fine spherical dispersed nano-scale Mn-rich phase is obtained during the solidification process. The nano-scale Mn-rich precipitate phase can pin the grain boundaries and inhibit the grain boundary migration to refine grains and achieve the effect of improving the strength.

Abstract: Disclosed is a method and system for adjusting process parameters of a die-casting machine, and a storage medium. The method and the system can receive die wheel type, molten aluminum temperature, interruption time and defect information in real time, respond to the above information one by one according to a set response priority order, select die-casting process parameters, and automatically adjust different process parameters for different products and different working conditions, thereby realizing simultaneous control of multiple die-casting machines, replacing manual adjustment and improving product quality stability and production efficiency.