Intelligent and efficient batching method for producing ferro-molybdenum with low cost and high yield

Abstract

The invention relates to an intelligent and efficient batching method for producing ferro-molybdenum with low cost and high yield. A, B, C, D and E class databases related to ferro-molybdenum raw material ingredient production are built, the task ferro-molybdenum mark and the molybdenum oxide batch number N are manually input on an operation terminal, a procedure is started, and processing data are calculated; automatic search is carried out in the databases, and the adding quantities of silicon iron, iron mine, saltpeter, fluorite, aluminite powder and steel balls of six ingredients are calculated and determined; operation is carried out, and the furnace burden unit heating quantity is rechecked and is compared with the best furnace burden unit heating quantity on the corresponding seasonuntil the conditions are met; and according to the calculated formula, the designed ferro-molybdenum impurity content is calculated until the conditions are met. The intelligent and efficient batching method has the advantages that the formula design is more comprehensive, more optimized and more scientific, human errors are avoided, the furnace burden heating quantity is sufficiently used, raw material cost can be saved to the largest extend, the coincidence rate of the grade of the ferro-molybdenum obtained through actual production and smelting and the design grade is larger than or equalto 99%, the impurity pass percent is larger than or equal to 99%, and the molybdenum yield is larger than or equal to 99%.

Description

technical field [0001] The invention relates to an intelligent and high-efficiency batching method for producing ferromolybdenum alloy with low cost and high yield. Background technique [0002] In the production of ferro-molybdenum alloys, the silicon-aluminothermic method is the most commonly used method for producing ferro-molybdenum alloys outside the furnace. When smelting ferro-molybdenum by the silicon-aluminothermic method, it can be self-heated once it is ignited. Therefore, during the smelting process, the calorific value of the charge must be Meet production requirements. Based on the calorific value per unit charge and the data of raw and auxiliary materials, under the premise of setting the grade of ferromolybdenum and the batch size of molybdenum oxide for the smelting task, most manufacturers screen and calculate the ratio of raw and auxiliary materials on the basis of traditional smelting calculation methods and based on the experience of smelting technicians...

AI Technical Summary

Problems solved by technology

Based on the calorific value per unit charge and the data of raw and auxiliary materials, under the premise of setting the grade of ferromolybdenum and the batch size of molybdenum oxide for the smelting task, most manufacturers screen and calculate the ratio of raw and auxiliary materials on the basis of traditional smelting calculation methods and based on the experience of smelting technicians. The addition amount is manually calculated, and there are mainly the following problems: first, the manual screening calculation is cumbersome and takes a long time; Raw material cost waste, and heat energy waste

Therefore, in the current production of ferromolybdenum alloys, fixed raw material grades and fixed ingredients are often used, resulting in a small range of raw and auxiliary materials and large limitations in raw material selection.

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