Research Of Computer Control System In The Ndfeb Hydrogen Crushing Process

NdFeB material is a computer, information and communications,aerospace,office automation,home appliances and other important areas of modern science and technology of functional materials, It is the world's fastest growing and the most widely used of the new generation of permanent magnet materials. Hydrogen decrepitation is an essential means of Preparation of high performance NdFeB magnets.Nowday, the Hydrogen crushing process of my Nation is not control of degree of hydrogen smash,it is controled by fixed-point temperature curve and pressure curve,it is not on line control. With the growing production of NdFeB alloys and increasing requirements of permanent magnet, The system has been difficult to adapt to current needs. Hydrogen crushing process optimization control in the pipeline.It is essential on product quality and production cycle by controlling hydrogen and dehydrogenation rate appropriately in NdFeB hydrogen crushing process. This paper analyzes the factors that impact of pulverization of hydrogen and dehydrogenation rate factors in NdFeB hydrogen crushing process——ushed alloy hydrogen content can not be detected online. For NdFeB hydrogen crushing principle and process,It proposed technology based on RBF neural network to achieve forecast of crushed alloy hydrogen content of hydrogen detection and NdFeB alloy during milling degree of crushing. It optimized the grinding process of NdFeB hydrogen and shorten production cycles and improved product quality by adjust the operating parameters of prediction. Paper include the following:1. It analyzed process of NdFeB hydrogen crushing according to the need to select the appropriate model secondary variable;2. It established prediction model hydrogen content based on RBF neural network;3. It fitted the model to simulate the situation and forecast accuracy by Matlab software;4. It compared and emulated prediction accuracy of RBF neural network and BP neural network by Matlab software;5. It Compled design of hydrogen-based Siemens PLC control system for grinding process optimization, including software and hardware system debugging. The subject Propose a new direction on Propose a new direction.