Provided is a multi-scale test device for crystallization performance of high-temperature melts, including a furnace body, an atmosphere control system, an optical path system, a temperature control system and a control display system. The furnace body includes furnace body includes a cavity, a thermocouple wire, a hot wire fixing block, a hot wire welding electrode, a reflecting surface, an air inlet pipe and an air outlet pipe. The thermocouple wire, the hot wire fixing block, the hot wire welding electrode and the reflecting surface are located in the cavity, the air inlet pipe and the air outlet pipe are in communication with the cavity. The thermocouple wire is connected with the hot wire welding electrode to form a heating wire structure onto which a sample is placed, and a center of the heating wire structure is located directly above the reflecting surface.

Provided are a joint regulation method of material flow, energy flow, and carbon emission flow in a long-process steel enterprise, which belongs to a field of intelligent regulation and control technology of electric power system in the steel industry. The method includes: coupling a material-energy characteristic model of each production process of a steel enterprise and a carbon emission model of the steel enterprise, constructing a material flow-energy flow-carbon emission flow coupling model of the long-process steel enterprise, establishing an objective function using a minimize sum of an electricity purchase cost from a superior grid, a park carbon emission cost, and a production raw material cost as an object, and solving and obtaining an optimal operation mode of a joint regulation of the material flow-energy flow-carbon emission flow in the steel enterprise.

A monitoring method of a steelmaking process in a steelmaking vessel, wherein matters Mn, each having its respective properties PMn, are charged into said steelmaking vessel so as to produce a liquid steel and a slag.

The embodiments of the present disclosure provide a method for processing entrained slag inclusions in steel with deoxidized calcium with fixed aluminum. The method proposes a kinetic model and further proposes a criterion for determining which composition of inclusions are the entrained slag inclusions based on the process of compositional transformation of the entrained slag inclusions. The method can clarify whether the inclusions in the steel are entrained slag or not, identify the source of the inclusions, and further provide a clear direction for the control of such inclusions in industrial production. Corresponding industrial measures can then be implemented to adjust steelmaking processes, control the occurrence of entrained slag inclusions, reduce the count of entrained slag inclusions in steel, and enhance process efficiency and steel product quality.

The present invention generally relates to methods for determining an improved carbon endpoint concentration in an argon oxygen decarburization process. The present invention utilizes various pieces of real-time data, including parameters of the flame and soot content to estimate a carbon composition in the steel product, along with two other metallurgical models to generate corresponding carbon compositions in the steel product. A total of 3 carbon compositions are determined and continuously updated during the process. An improved carbon endpoint value is determined to be reached when at least a first value and a second value corresponding to any of the three carbon compositions are below a target carbon value. Upon such condition being satisfied, an alert notification is transmitted to enable carbon sampling to confirm that the sample has a measured carbon concentration that is below a predetermined calculated target carbon value.

Provided are a joint regulation method of material flow, energy flow, and carbon emission flow in a long-process steel enterprise, which belongs to a field of intelligent regulation and control technology of electric power system in the steel industry. The method includes: coupling a material-energy characteristic model of each production process of a steel enterprise and a carbon emission model of the steel enterprise, constructing a material flow-energy flow-carbon emission flow coupling model of the long-process steel enterprise, establishing an objective function using a minimize sum of an electricity purchase cost from a superior grid, a park carbon emission cost, and a production raw material cost as an object, and solving and obtaining an optimal operation mode of a joint regulation of the material flow-energy flow-carbon emission flow in the steel enterprise.

A refining process control device includes: a past similar performance extraction unit configured to extract, from the refining performance database, a performance value of a past refining process in which a refining condition being a refining process condition acquired before the start of the refining process and including a result of an immediately preceding refining process in the refining facility, is similar to a refining process condition as a calculation target and the evaluation value is high; and an operation amount determination unit configured to determine an initial operation amount at the start of a refining process based on the performance value of the past refining process extracted by the past similar performance extraction unit, and determine an operation amount based on a change amount of the initial operation amount after the start of the refining process.