2results about How to "Uniform distribution" patented technology

The application relates to the field of mechanical lubrication, in particular to a bearing grease injection mold and a grease injection method, which comprise a bearing grease injection mold, the mold comprising a grease injection mold, a radial positioning piece and a grease injection ring, one end of the grease injection mold is a fitting end which is fitted with a bearing end face, the other end is provided with a grease injection groove, a grease injection flow channel is arranged at the bottom of the groove; the radial positioning piece is connected with the grease injection mold and can be matched with the inner diameter / outer diameter of the bearing; the grease injection ring is connected with the fitting end, one end of the grease injection ring away from the fitting end can be embedded between the inner ring and the retainer or the outer ring and the retainer of the bearing, the grease injection ring is provided with a grease injection hole which is communicated with the grease injection flow channel, the grease injection ring further comprises an embedding ring, an inserting ring and the like, and the application further comprises a bearing grease injection method, such as A / B surface grease injection and the like. The application achieves the technical effects of accurately and efficiently injecting grease into the bearing, ensuring that the grease injection amount meets the requirements and improving the lubricating effect of the bearing.

This invention relates to the field of temperature control technology in refractory duct processing, and discloses an intelligent temperature control method and system for refractory duct processing. The method includes the acquisition and analysis of real-time temperature data and external environmental fluctuation data to achieve precise temperature control. The system analyzes temperature trends based on an initial temperature distribution map combined with a fuzzy rule base, identifies overheated areas, and adjusts the heating power. Power allocation is optimized through a multi-physics coupling model and historical processing data to generate a temperature equilibrium model. Further, by combining a temperature prediction model and feedback data, the power allocation is iteratively corrected to ensure a stable heating process and eliminate residual temperature differences, ultimately outputting a balanced heat distribution, improving material performance consistency and processing quality. This method can adjust power in real time to cope with dynamic changes in the external environment and material properties, thereby improving processing quality.