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Analysis Of The Influence Factors And Parameters Optimization Of Spray Dust Efficiency Of Impacting And Crushing Rock Roadheader

Posted on:2018-09-14Degree:MasterType:Thesis
Country:ChinaCandidate:J Y SuoFull Text:PDF
GTID:2371330548977760Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
A spray on a Impacting and Crushing rock Roadheader is a key link in a dust control of rock excavation work,Its spray performance not only affect the safety of the work site,but also threaten the health of the staff.Therefore,the rationality of spray parameters is particularly important.Because the parameters of the Roadheader's existing spray is unreasonable,that making the distribution of spray flow not according to the actual producing dust's situation,resulting in low dust spray efficiency poor dust effect.In order to improve the efficiency of dust spray,this paper based on the analysis of high pressure spray and spray dust effects on the efficiency of reduction factors,using MATLAB software programming,Analysis of the effects of different spray parameters on the droplet diameter and spray dust collecting efficiency,find the inherent relationship between them,revealed its changes.By using the DPM discrete model of Fluent software,the numerical simulation of the impacting and Crushing rock Roadheader is carried out,which makes the influence of each parameter on the spray effect more intuitive.Based on the above analysis,this paper puts forward the improvement scheme of the spray parameters.In order to make the dust removal effect is better,based on establishing the mathematical model of Impacting and Crushing rock Roadheader.With the highest dust removal efficiency as the goal,the use of GAAA algorithm,the parameters of the improved optimization,makes the dust removal efficiency increased by 14.14%on the basis of the original,which is of great significance to the improvement of the environment and condition of the rock heading face.
Keywords/Search Tags:rock Roadheader, dust removal efficiency, Fluent numerical simulation, parameter improvement, GAAA algorithm, parameter optimization
PDF Full Text Request
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