The ladle is an important equipment of the metallurgical industry. Distribution of thermomechanical stress in linings has an essential influence on its life, and the size of its life-span influences the economic benefits of the iron and steel enterprise directly. Two-dimensional model of ladle based on law of finite element method is built, and the influence of thermal conductivity, thermal expansion coefficient, elasticity coefficient and thickness of work lining on ladle stress field are discussed. The calculation results indicate that stress increases with the increase of thermal conductivity, thermal expansion coefficient and elasticity coefficient and decrease of thickness.
Heat-treatment was emphasized for its important role to qualify the products of heavy rail, and induction quenching was one of the widely used heating process methods. The temperature field of U71Mn heavy rail during the quenching process and various kinds of factors that may influence temperature field to be distributed were simulated by the FEM software. The result shows that the main factors that influence the way that temperature field was distributed were how long the heating and keeping warm time were, and the value of the pressure of wind when cooing the steel, the difference of which would directly influence the results of the heat treatment of heavy rail. It is significantly valuable for the choice of relevant parameters for the heat treatment of U71Mn heavy rail.
The air compressor system is a time-varying, delay and nonlinear complex system, it has a very important sense to ensure that the supply pressure is stable in the compressor control system. According to the working characteristic of air compressor system, the fuzzy control theory, as one of the modern control theories, was applied into the constant pressure control system to design a fuzzy pressure controller. The simulation results show that the controller was more convenient and effective; it has certain directive significance and reference for the other parameter’s control of air compressor system.
According to the requirements and characteristics of air compressor control systems in the process of air separation, an intelligent control method based on the fuzzy PID was proposed. Through simulating the designed control method, it is concluded that the control effect was extraordinarily satisfactory. It can offer a certain meaning of guidance and reference for the control of other equipment in air separation systems.
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