Font Size: a A A

Argon Oxygen Refining Ferroalloy Splash Forecast System

Posted on:2011-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y D LvFull Text:PDF
GTID:2191330332473042Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
With the expansion of ferroalloy production scale and in order to meet the requirements of energy saving, using refining technology in the ferroalloy production is a development direction for the future. As a technology for stainless steel production AOD technology is already very mature, but its ferroalloy production for the research work is still in its infancy. The frequent splashes take place in an AOD furnace in the ferroalloy smelting process. At present, an empirical model to prevent splash is basically adopted in the AOD smelting in the alloy, so this paper is to seek an online and accurate approach to reducing AOD refining splash rate of ferroalloy production processes.In this paper, first of all clarify significance of spatter analysis to prevent splashing in the process of Argon Oxygen ferroalloy refining, analysis status in preventing splashing at home and abroad, focusing on comparing the current introduction for varieties of ways to prevent splashing in metal smelting process, concluded that traditional ways to prevent splashing are real-time differential, complicated operation and a higher rate of false positives splash, therefore, so a new way to prevent splashing is needed to be introduced. This article is proposed a new method based on AOD furnace to prevent splash under this context, and design and implement of furnace gas analysis based on-line detection system, which consists of furnace gas parameter measurement system, AOD parameters, process parameters measurement system and the main control system. Then analysis preliminary the data collected from 50 furnaces, the conclusions drawn from the analysis are in line with AOD furnace gas emission laws, thus the feasibility in the AOD furnace smelting process is confirmed.On the basis of relevant information at home and abroad, obtain the root cause for splash of the furnace in the smelting process is and the accumulation of a large number of FeO and the violent reaction between the C in molten iron and it, resulting in a huge expansion work to make molten iron spill. In this design, research and analysis the gas content composition and the flow rate collected by the on-line smoke detectors, and other information, the model for preventing splash was established using the integral model of cumulative amount of oxygen and curve-fitting theory, detecting the FeO content in molten iron on-line. The operator according to the changes of the FeO content, by changing the position of an oxygen lance to control the FeO content in molten iron, to prevent its large accumulation. Through experimental data analysis and comparison demonstrated the correctness of the model.Finally by using of VB programming language, research and design the system host computer interface based on the AOD furnace to prevent splashing. The system interface is simple, intuitive and friendly. Operators as long as import some static parameters on the main interface to the model, the system will be able to correctly inspect molten iron FeO on-line, and in accordance with the status of the furnace, automatic control can effectively reduce the sputtering rate.According to the development and application of the AOD furnace analyzer, not only to prevent splashes in the AOD furnace smelting process, but also to achieve the AOD furnace smelting fully automated, reducing AOD furnace smelting cycle and improve AOD furnace production capacity. At the same time can improve the quality of hot metal and reduce the fluctuations of hot metal's composition and temperature upper furnace, greatly improve the quality of ferroalloy products, provide the per-condition to iron and steel enterprises to enhance market competitiveness and new product development efforts.
Keywords/Search Tags:preventing splash, furnace gas analysis, FeO content, on-line detection
PDF Full Text Request
Related items