A hot-rolled steel plate/strip for sulfuric acid dew point corrosion resistance and manufacturing method therefor. In said method, elements such as Sn and Cu remaining in steel scrap are fully utilized to smelt molten steel, and micro-alloy elements such as Cr, Ti, and Sb are selectively added; in a smelting process, basicity of slag, types and melting points of inclusions in steel, and a free oxygen content and an acid-soluble aluminum (Als) content in molten steel are controlled, a cast strip (11) is casted by means of twin-roll strip continuous casting, the cast strip (11) exits from crystallization rolls (8a, 8b) and directly enters a lower closed chamer (10) having a non-oxidizing atmosphere, then enters, in a closed condition, an on-line rolling mill (13) for hot rolling, after rolling, strip steel is cooled by means of gas atomization cooling, and finally the strip steel is wound up. The steel can be widely applied to the fields of products, such as tobacco baking apparatuses, air preheater heat exchange elements in industries such as petroleum, chemical industry, electric power, and metallurgy, delivery pipe, flue, and stack manufacturing structural parts, and boiler preheater and economizer equipment, of which the use environments have requirements for sulfuric acid dew point corrosion resistance performance.

This disclosure relates generally to SYSTEM AND METHOD FOR DETERMINATION OF AIR ENTRAPMENT IN LADLES performing various refining operations at a secondary steel making stage of a ladle is challenging as it requires huge time and resources. The present subject matter discloses a technique for determination of air entrapment in a ladle. In an embodiment, method uses transient computational fluid dynamics modeling for simulating tapping process of liquid steel and tracking the interface with respect to time. By carrying out the parametric study for different geometrical and operational parameters, training and validation data is generated which is then used for training an artificial neural network model. The new ladle geometrical and operational input parameters for which output parameters are required are then used to predict the air entrapment.

This disclosure relates generally to SYSTEM AND METHOD FOR DETERMINATION OF AIR ENTRAPMENT IN LADLES performing various refining operations at a secondary steel making stage of a ladle is challenging as it requires huge time and resources. The present subject matter discloses a technique for determination of air entrapment in a ladle. In an embodiment, method uses transient computational fluid dynamics modeling for simulating tapping process of liquid steel and tracking the interface with respect to time. By carrying out the parametric study for different geometrical and operational parameters, training and validation data is generated which is then used for training an artificial neural network model. The new ladle geometrical and operational input parameters for which output parameters are required are then used to predict the air entrapment.

A continuous casting method of steel includes the step of bulging wide side surfaces of a slab having there inside an unsolidified layer with a total intentional bulging amount of 3 to 10 mm by increasing stepwise toward a downstream side in a casting direction a roller gap of a plurality of pairs of slab support rollers disposed in a continuous casting machine.

A steelmaking-and-continuous-casting dispatching method and apparatus based on a distributed robust chance-constraint model. The method includes: according to parameters, an objective function and a constraint condition in steelmaking-and-continuous-casting dispatching, establishing the distributed robust chance-constraint model; by using a dual-approximation method or a linear-programming-approximation method, solving the distributed robust chance-constraint model, to obtain processing starting durations of cast batches in conticasters and processing starting durations of furnace batches in machines other than the conticasters; and by using a solved result of the distributed robust chance-constraint model as an evaluation criterion, by using a tabu-search algorithm, determining a furnace-batch sequence and a distribution theme in the steelmaking-and-continuous-casting dispatching. The method deems the processing duration in the steelmaking-and-continuous-casting process as a random variable, and makes the description by using the polyhedral support set and the accurate moment information, and the method meets the actual production conditions more than the conventional research models.

The present invention provides a copper billet horizontal continuous casting apparatus with a vertical shaft furnace for smelting and a corresponding process. The copper billet horizontal continuous casting apparatus with a vertical shaft furnace for smelting includes: a vertical shaft, a refining furnace, a mixing furnace, a holding furnace, and a continuous casting furnace; wherein the refining furnace includes a furnace body, and a gas flushing device disposed beneath the furnace body, a gas flushing brick is provided at the chamber bottom wall of the furnace body; a gas inlet device is provided on the vertical shaft furnace; the vertical shaft furnace further includes a detecting device and an adjusting device which are connected with the air inlet device.

A wire rod of a Cu—Zn—Si based alloy obtained by up-drawing continuous casting is provided; the amount of Cu is within a range of 75.0 mass% or more and 76.9 mass% or less, the amount of Si is within a range of 2.6 mass% or more and 3.1 mass% or less, the amount of Zr is within a range of 0.003 mass% or more and 0.20 mass% or less, the amount of P is within a range of 0.02 mass% or more and 0.15 mass% or less, the balance is composed of Zn and inevitable impurities, and the number density of a Zr—P compound containing Zr and P is within a range of 1500 pieces/mm.sup.2 or more and 7000 pieces/mm.sup.2 or less.

A dynamic production planning method for a continuous casting plant for casting a strand with a production system which has a predefined production plan, which method includes comparing target production parameters with actual production parameters. If the actual production parameters deviate from the target production parameters, a strand image is created on the basis of actual production parameters. With the aid of the calculated strand image, a check is carried out within the predefined production plan and, if possible, a new production plan is created. If no solution can be found from the predefined production plan, the strand image is transmitted to a production planning system. The production planning system creates a new production plan from all available orders on the basis of a predefined optimization criterion. The new production plan is subsequently transmitted to the production system.

A dynamic production planning method for a continuous casting plant for casting a strand with a production system which has a predefined production plan, which method includes comparing target production parameters with actual production parameters. If the actual production parameters deviate from the target production parameters, a strand image is created on the basis of actual production parameters. With the aid of the calculated strand image, a check is carried out within the predefined production plan and, if possible, a new production plan is created. If no solution can be found from the predefined production plan, the strand image is transmitted to a production planning system. The production planning system creates a new production plan from all available orders on the basis of a predefined optimization criterion. The new production plan is subsequently transmitted to the production system.

An in-mold solidified shell thickness estimation apparatus includes: an input device; a model database configured to store a model formula and a parameter related to a solidification reaction of a molten steel inside a mold of a continuous casting facility; and a heat transfer model calculator configured to estimate an in-mold solidified shell thickness by calculating temperature distributions of the mold and of the molten steel inside the mold by solving a three-dimensional unsteady heat transfer equation. The heat transfer model calculator is configured to correct errors in a temperature of a mold copper plate and in an amount of heat removed from the mold, by correcting an overall heat transfer coefficient between the mold copper plate and the solidified shell.