The melting point of blended ash of Yitai coal and Jiuzhou coal is studied,results show that the melting point of mixed coal ash obtained by using the original melting point of coal ash for weighted average has a large deviation from the test value,the maximum difference is about 100℃,and the melting point of mixed coal ash cannot be calculated simply by using the original melting point of coal ash.According to the ash composition obtained from the mixed coal test and then substituted into the formula for calculation,the obtained result has a small deviation from the test value,but the application scope has certain requirements for the content of SiO2 and Al2O3.It is found that the prediction of ash melting point based on BP neural network is also a feasible method for obtaining the melting point of mixed ash in engineering applications.The prediction of ash melting point can be controlled within±20 ℃.The ash melting point can be predicted only by measuring the chemical composition of coal ash in advance and calculating various composite coefficients based on it.It is very useful to guide the coal preparation,blending and use of coal in power plants,the safety design of burners and the safe operation of boiler units.
coal blendingash melting pointneural networkprediction model
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