Optimum burden calculation method for electric furnace smelting

Abstract

The invention relates to an optimum burden calculation method for electric furnace smelting, which comprises the following steps: establishing a raw material consumption constraint equation, a finished product target composition constraint equation, a finished product target gross-weight constraint equation and an optimum burden target function, and on this basis, building a linear programming mathematical model, thereby obtaining a set of pre-burden scheme; feeding materials to smelt according to the pre-burden scheme, and after iron and steel materials are completely melted, measuring chemical compositions of online molten steel; and establishing a raw material consumption constraint equation, a finished product target composition constraint equation, a finished product target gross-weight constraint equation and an optimum burden target function, and on this basis, building a linear programming mathematical model, thereby obtaining a set of refining or stokehold quenched and tempered burden scheme. Compared with the prior art, the method disclosed by the invention has the beneficial effects that the problems of low artificial operation accuracy, unstable quality control, high experience dependence, and difficult concurrent consideration of cost and quality in the prior art are solved; and the remote control can be realized by using a network platform, so that the method is suitable for being butted with modern management means, thereby improving the stokehold automated operation capacity.

Description

technical field [0001] The invention relates to the technical field of casting and steelmaking production, in particular to a calculation method for optimizing batching in electric furnace smelting. Background technique [0002] In the production process of casting and steelmaking, there are many types of raw materials and different prices. Using the most reasonable ratio can not only obtain excellent product quality, but also reduce material costs. The traditional batching method is manually calculated, relying on the experience of the batching personnel. The calculation time is long and the batching accuracy is low, so it is difficult to control the accuracy and stability of the smelting composition. [0003] With the development of science and technology, the promotion of modern management mode, combined with the application of network technology, the batching calculation can be remotely controlled through the network, and combined with other automatic batching equipment ...

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the deficiencies of the prior art and provides a calculation method for optimizing batching in electric furnace steelmaking, which solves the problems of low manual calculation accuracy, unstable quality control, high experience dependence, and difficulty in both cost and quality in the prior art, and can Use the network platform to achieve remote control, suitable for docking with modern management methods, and improve the automatic operation ability of the furnace

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