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Given the problems in traditional graphite purification methods, such as low impurity removal efficiency; Using chemical purification method, the reagent is toxic and contaminated, which does not meet the environmental protection requirements; The physical purification method has the disadvantages of high energy consumption and high cost. The plasm...
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... The DC arc graphite purification unit consists of a main power supply, control system, powder feeding device, cooling device, gas supply system and reaction kettle.The main power supply is the device that supplies electrical energy to the spray gun, its external characteristics, dynamic characteristics and power supply parameters should meet the requirements of the generated plasma arc, the stability of its output will directly affect the overall operation of the equipment and the effect of graphite purification, the control system is the control centre of the whole set of equipment, consisting of electrical control system, gas control system and working condition monitoring system (or called the safety alarm system) three parts.The control system mainly regulates and displays the cooling device, the main gas flow (or working gas flow), the powder feeding device, the operating current and the operating voltage by means of human-machine interaction [9,10]. Figure 1 shows the structure of the DC arc graphite purification lance. ...
The random forest algorithm was used to analyze the degree of influence of four variables, namely, voltage, current, main gas flow rate, and powder feed, on the temperature of the plasma jet zone of the DC arc graphite purification. The BP algorithm was then used to build a network prediction model. After the training of the network, the validity of the model was verified by comparing the measured temperature values with the predicted results. From the results, it can be seen that the relative error of the prediction results is between -0.3 %and +0.3%, which proves that the built BP neural network temperature model has a satisfactory prediction effect. In addition, this paper also derives specific mathematical expressions based on the threshold and weight values of this temperature prediction model, which can be used to fit the temperature variation curve in the plasma jet region.
