Study on dust field optimization model under change of dust collecting parameters of exhaust outlet at fast-tunneling face
In order to solve the problem that the dust collection effect of traditional exhaust outlet under the ventilation mode of long pressing and short pumping is not suitable for the dust collection demand of the working face with fast driving speed and large dust production,the dust collection port device and system layout of the exhaust duct were proposed and designed to reduce the hazards of high dust and pollution at the fast-tunneling face.Fluent was used to establish the finite element model of dust field of the dust collection system,the influence of single dust collection parameter on the dust field was analyzed,and the value ranges of the parameters were determined.The quadratic regression orthogonal test was designed to establish a dual-objective optimization model of dust concentration of drivers and pavement respiratory zone,and the NSGA-Ⅱalgorithm was used to solve the model.Taking the fast-tunneling face of a mine in Shaanxi province as the research object,the optimal dust collecting parameter scheme under the dust collecting layout was obtained,and a dust collection system test platform was built to test the optimal dust collection parameter scheme.The research results show that the error between the test value and the predicted value is less than 8%,and the optimized dust mass concentration at the driver's place and the average dust mass concentration at the pavement respiratory zone are reduced by 79.3%and 58.7%,respectively,which verified that the opti-mized model is accurate and effective.The research results can provide reference for realizing the goal of air purification in the fast-tunneling faces.
fast-tunneling facedust collecting portquadratic regression orthogonaldual-objective optimization model
NETL
NSTL
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