Abstract: The disclosure discloses a method for manufacturing special purpose vehicle wheels by using 7000 series aluminum alloys, comprising the following steps: step 1, smelting 7000 series aluminum alloys in a smelting furnace; step 2, making the solution obtained in step 1 into an aluminum alloy ingot blank through a spraying and forming process; step 3, extruding the aluminum alloy ingot blank of step 2 to obtain an extrusion bar; step 4, sawing the extrusion bar into blanks and heating them; step 5, rolling the blank into a cake; step 6, putting the cake into a press for forging and forming; step 7, spinning and forming the wheel rim. The wheel manufactured by the method for manufacturing special vehicle wheels with 7000 series aluminum alloys in the present disclosure has high and stable conductivity, qualified impact test and good bending and radial fatigue performance.

Abstract: The invention relates to the field of aluminum wheel casting molds, and more particularly relates to a closed-loop control method and system for a mold temperature in a wheel casting process. The control method includes: step 1, acquiring data, that is, acquiring a plurality of mold position temperatures, and cooling pipeline opening and closing signals in a target wheel casting process according to a fixed frequency; step 2, storing, based on acquired mold opening and closing signals of casting equipment, the acquired data in a database in the form of a unique ID according to a single wheel casting process; step 3, calculating new process parameters based on the acquired plurality of position temperatures and time; and step 4, integrating the calculated process parameters, and issuing the process parameters to a PLC of a casting equipment to perform new casting.

Abstract: A sound absorber is configured as a rectangular hexahedral box and forms a porous double-layer Helmholtz resonance sound absorbing structure, at the same time, the sound absorber in the form of a box forms a structural resonance sound absorbing device itself, and the first-order natural mode frequency of the device is identical to that of a wheel air chamber. When the box-type sound absorbing structure is assembled in a wheel, double functions of absorbing acoustic resonance of the wheel air chamber under the organic combination of Helmholtz resonance sound absorption and structural resonance sound absorption can be realized.

Abstract: The present invention discloses a variable size wheel deburring device, which is composed of a lower lifting system, a central brush driving system, a brush system I, a brush system II and a clamping driving system. When used, the servo electric cylinder II, through the guiding rail II, causes the left and right rollers to clamp the lower wheel rim of the wheel; and the servo motor I can achieve the rotation of the clamped wheel by the pulley I, the pulley II and the synchronous belt I. The device according to the present invention in use can not only realize the burr removal of the wheel center hole, the flange root corner, the spoke edge and the rim corner, but also can adapt to wheel types of different size.

Abstract: The disclosure relates to the technical field of hydraulic pneumatic systems, in particular to an electric control valve detection plug and an electric control valve signal detection method. The disclosure can accurately measure the electric control signal actually obtained by the valve, thus avoiding the risk of misjudgment. The disclosure has simple manufacture and convenient installation and disassembly.

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.