4 results about "Pidgeon process" patented technology

The invention relates to the field of preparation of high-purity magnesium, in particular to an integrated system and method for continuous purification and condensation of magnesium steam based on a Pidgeon process. Comprising a reduction unit, a condensation unit and a vacuum unit, a gas collection tank is arranged between the reduction unit and the condensation unit, a trap is arranged in the gas collection tank, and the trap comprises a trapping plate; the integration method comprises the following steps: step 1, preparing at least two reduction tanks, and keeping at least one reduction tank to generate high-temperature magnesium steam; 2, the temperature of the high-temperature magnesium steam is kept at 800-1000 DEG C, the vacuum degree is kept at 10-100 Pa, solids in the high-temperature magnesium steam are removed, and stable magnesium steam is obtained; and 3, condensing the stable magnesium steam to obtain refined magnesium. According to the integrated system and method for continuous purification and condensation of the magnesium steam based on the Pidgeon process, the problems that continuous production cannot be achieved through an existing Pidgeon process, and the purity of obtained magnesium is low are solved.

The invention provides a vertical tank bottom magnesium discharging method for a Pidgeon process reduction procedure, which comprises the following steps: a bottom magnesium discharging pipeline is arranged at the bottom of a vertical reduction tank, one end of the bottom magnesium discharging pipeline is communicated with the inside of the tank, and the other end of the bottom magnesium discharging pipeline is communicated with an external cooling device; an automatic feeding device is arranged at the top of the vertical reduction tank and is used for filling furnace charge into the reduction tank from top to bottom; a plurality of material level detection devices are arranged in the vertical reduction tank and used for sensing the stacking state of furnace charge in the reduction tank; and according to a detection result of the material level detection device, the feeding rate of the automatic feeding device and the magnesium discharging rate of the bottom magnesium discharging pipeline are controlled, so that furnace charge in the reduction tank is always kept in steady-state distribution.

The application discloses an electric heating zero-emission magnesium reduction device and a process thereof, and the reduction device comprises a reduction tank, a condensation tank is sealingly connected to the upper end of the reduction tank through a flange, a crystallizer is arranged in the condensation tank, a vacuumizing device is further connected to the condensation tank through a pipeline, a plurality of inner electric heaters are inserted into the reduction tank from the bottom, and an outer electric heater is further wrapped outside the reduction tank; the gas heating in the traditional Pidgeon process is replaced by electric heating, so that the very serious pollution emission is changed into zero emission; and the various high-temperature corrosion of the traditional reduction tank under the gas flame barbecue is changed into basically zero corrosion, the service life of the reduction tank is greatly prolonged, and a large amount of steel is saved; the temperature control of the traditional Pidgeon process is difficult, leading to poor quality of the reduced magnesium, and the electric heating can realize accurate control of the temperature and improve the quality of the reduced magnesium.

The invention provides a Pidgeon method vertical tank bottom magnesium discharging low-energy-consumption furnace charge steady-state control method which comprises the following steps: acquiring real-time distribution data of particles from a furnace charge feeding system, extracting position and density information of the particles by utilizing an image recognition algorithm, calculating a distribution uniformity index in combination with a preset uniform distribution model, and calculating the distribution uniformity of the particles according to the distribution uniformity index. The discrete degree of particle distribution is quantified; evaluating the parameter correlation matrix, judging whether parameter conflicts exist or not, and if the conflicts are detected, optimizing parameter combinations through a genetic algorithm, obtaining process parameter data again and updating the parameter correlation matrix until the parameters are coordinated and consistent; and constructing a comprehensive prediction model based on a machine learning algorithm by utilizing the updated distribution uniformity index, the heat transfer cumulative change trend and the coordinated and consistent process parameter combination, and predicting the reduction reaction efficiency and the product quality.