2 results about "Periclase" patented technology

A method for predicting autogenous volume expansion deformation of magnesium oxide expansion agent in concrete, which is characterized by the following steps: constructing an initial prediction model of autogenous volume expansion deformation of magnesium oxide expansion agent, wherein the initial prediction model takes the hydration degree and the mixing amount of the magnesium oxide expansion agent in the concrete, the periclase content and the internal pore volume ratio of the magnesium oxide expansion agent, and the elastic modulus of the concrete as independent variables, and the specific expression is as follows: the method can be used for quantitatively predicting the influence of the type, the mixing amount, the microstructure and the hydration behavior of the magnesium oxide expansion agent on the expansion deformation of the concrete, and can be used for predicting the deformation history of the concrete mixed with the magnesium oxide expansion agent under the actual engineering temperature and humidity history, thereby laying a theoretical foundation for the expansion history design and application of the magnesium oxide expansion agent for meeting the shrinkage compensation requirement of the engineering concrete.

This invention belongs to the field of specialized equipment for building material production, and discloses a smelting device for recycling and reprocessing periclase from magnesium ore waste. The device includes a waste pretreatment unit, a multi-channel centrifugal sedimentation density distribution acquisition unit, an intelligent sorting decision unit, a sorting execution mechanism, a smelting reactor, and a process feedback control module connected in sequence. The density distribution acquisition unit obtains the equivalent density of particles through centrifugal sedimentation; the intelligent sorting decision unit extracts a five-dimensional density difference feature vector, adaptively adjusts the classification boundary using a support vector machine, and combines improved hierarchical clustering to achieve dynamic particle grouping and screen for high-purity components; the process simulation interface embeds a thermodynamic-kinetic coupled model to pre-simulate the smelting quality, and inversely optimizes the feature weights when a batch is determined to be a challenging recycling batch. This invention solves the problem of insufficient sorting accuracy caused by the nonlinear mapping between density and chemical purity, and improves the purity stability of periclase products.