Electric furnace charging optimization analysis

When smelting stainless steel, the cost of raw materials accounts for more than 80% of the conversion cost of molten steel. Therefore, it is extremely important to realize the optimization of raw materials, including the optimization of raw material costs and inventory levels. This article will introduce the lowest-cost loading calculator (LCC) developed by Danieli for the optimization of electric furnace charging.

LCC minimizes the cost of electric furnace charging by calculating various conditions and different constraints such as raw materials, time intervals, and scrap yard inventory. The electric furnace charge consists of scrap steel, ferroalloys, residual steel in the furnace (if any), and reflow molten steel (if any). LCC offers a variety of different calculation models and calculations.

LCC calculation model

The "multi-smelting" calculation model is used to calculate the number of heats not yet started in the electric furnace, and no raw materials have been received for them; calculations have not yet been made on the basis of setting the scrap baskets and alloy silos for these heats. These calculations also consider whether there are any minimum and maximum total weight limits for the available raw materials. The "single furnace smelting" calculation model is used to calculate the number of heats that have not yet been smelted in the electric furnace; it is also used to calculate the number of heats that are being smelted, if at least one empty basket or silo is still available. These calculations take into account all the raw materials that have been loaded into the furnace, all baskets that have been scheduled or reported to be assigned to the assigned heats, and any other fixed raw material weights that have been set before the calculations are made.

LCC week calculation

This optimization is based on the minimization of the cost of the loaded metal materials, including several furnace steels that need to be smelted in the future, usually set within one week. No inventory is considered at this stage. The results of the calculations include: the weights of the various raw materials that need to be used in the multi-smelter smelting process and their minimum and maximum limit values; the total cost of the required charge.

For each furnace smelting, it is possible to give a list of the various raw material weights in the total weight of the constituent raw materials that need to be used, the total cost of the charge and the cost per ton of steel, the expected steel output from the electric furnace, and the expected molten steel chemical composition.

Short-term LCC calculation

The number of heats to be produced can be provided, usually set within 3 days. The calculation process is basically a recalculation of the weekly LCC, but in this case, the inventory of raw materials needs to be considered.

Single furnace LCC calculation

The input to a single oven is basically the same as the weekly LCC and short-term LCC calculations. In addition, the following inputs need to be taken into account: Scrap Yard Inventory - Real-time reporting of raw material availability for actual scrap yards; existing raw material reports include baskets, silos, and reflowed molten steel that have been assigned to a specified furnace; already loaded Furnace charge; initial steel weight (if any).

The results of the calculations include: a list of the various raw material (super) weights used to make up the total weight of the charge; the total cost of the total charge and the cost per ton of steel; the expected steel output from the furnace; and the expected chemical composition of the molten steel.

Basket loading calculation

The loading of the basket is used to calculate the distribution of the material layers of each basket determined according to the operating rules of the electric furnace and to calculate the distribution of the charge of a given scrap steel basket into the furnace. The result of the calculation gives the charging sequence of the basket and the loading sequence of the bin for a given heat.

in conclusion

The above-discussed optimization model is an effective means for minimizing the charging costs of stainless steel electric furnaces while meeting product quality requirements. Moreover, the model can reduce inventory as much as possible, thereby further reducing production costs and achieving punctual steelmaking production.

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