Simulation optimization method of fuzzy control variable heating temperatures in directional solidification process

Abstract

A simulation optimization method of fuzzy control variable heating temperatures in a directional solidification process belongs to the material processing technical field. The simulation optimization method of the fuzzy control variable heating temperatures in the directional solidification process is characterized in that analog simulation is performed on the directional solidification process of the Bridgman method to simulate a temperature field evolution process of high temperature liquid metal in the directional solidification process; simultaneously temperature field simulation results in the directional solidification process serve as a guide of the simulation optimization method, a temperature setting value and time of duration of a heater need to change are determined by considering standard requirements of the industry to the directional solidification production of columnar and single crystal blades and utilizing a fuzzy control principle and algorithm to optimize a heater temperature changing process in the directional solidification process; and a temperature changing response value and time of duration of the heater are determined by utilizing a minimum sampling period under the precondition of reasonable simulated computation to obtain a process curve of the variable heater temperatures in the directional solidification process. The simulation optimization method of the fuzzy control variable heating temperatures in the directional solidification process has the advantages of improving the qualified rate of the directional and single crystal blade production, improving the production efficiency, reducing the process debugging period, upgrading the constant heater temperature process of the directional solidification production to the fuzzy control variable heating temperature process and being wide in application prospect.

Description

technical field [0001] The invention relates to a simulation optimization method for fuzzy control variable heating temperature in directional solidification process, in particular to a control optimization method for formulating variable heating temperature in directional solidification process by using numerical simulation technology and fuzzy control method. Background technique [0002] The directional solidification process is an important casting method, which is applied to the production of working blades of aero turbine engines and large gas turbines. This technology is realized through a dedicated Bridgman directional solidification furnace. The key control parameters involved are as follows: Heater control temperature, directional solidification drawing speed, pouring temperature; the main parameters of the Bridgman directional solidification furnace that affect the technology are: the height and inner diameter of the upper and lower heaters, the thickness and inner...

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Problems solved by technology

[0004] From the above analysis, it can be known that the variable temperature process is still not or rarely used at home and abroad, but its process effect is outstanding.

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