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Based Permeability Prediction Lead-zinc Sintering Blending Process Optimization Studies

Posted on:2009-06-08Degree:MasterType:Thesis
Country:ChinaCandidate:L J SunFull Text:PDF
GTID:2191360245983191Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Lead-zinc sintering process is a raw material preparation process for the reduction smelting of imperial smelting furnace, and its purpose is to provide sinter lumps which have suitable chemical compositions, certain mechanical strength and reducibility for reduction smelting. The sintering proportioning process is the first working procedure of lead-zinc sintering production, and also is the preparation process for sintering material.The optimization for Lead-zinc sintering proportioning process is presented in this paper, and its purpose is to solve the optimization settings issue about two operating parameters, which are values of the second proportion and the water content of mixture in the proportioning process. The values of the second proportion and the water content of mixture are close related to permeability—the state parameter of sintering process, which is very important to affect the output and quality of production. Therefore, the optimization for sintering proportioning process is of vital significance to the sintering production. Because values of the second proportion and the water content of mixture in proportioning process are regulated by manual work, have the characters of time-delay and blindness, so an optimal operating method of the sintering proportioning process based on integrated predictive model and traversing search algorithm is put forward in this paper.From the beginning of sintering process craft, the paper has analyzed the relationship between sintering proportioning process and permeability of sintering process in detail, and some major factors for affecting permeability. Aimed at the character of long time-delay, with the weighted combination optimal method, the integrated predictive model of synthetical permeability is established with combination of the BP neural network predictive model of the technical parameters and the grey theory predictive model of time series, which effectively improves the precision of predictive model and lays a foundation for proportioning process.Aiming at the permeability optimization for sintering process directly, the measure of adjusting the values of the second proportion and the water content of mixture is taken in the optimization process for lead-zinc sintering proportioning process. Whether the permeability of sintering process is optimal or inferior can not be precisely expressed by the predictive values, as a result, combining with other state parameters of sintering process which are able to judge permeability, using fuzzy comprehensive evaluation method, the paper estimated the current permeability quantitatively. Then by traversing optimization search algorithm, the best permeability evaluation value is obtained and the optimization enactment values of the second proportion and the water content of mixture are obtained indirectly. The result of simulation experiment shows that the sintering proportioning process are able to be optimized by the method, simultaneously it has prepared for coordination and optimization control for the overall lead-zinc sintering process.
Keywords/Search Tags:lead-zinc sintering process, synthetical permeability, integrated predictive model, fuzzy comprehensive evaluation method, traversing search algorithm
PDF Full Text Request
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