By establishing a relationship between these design variables, the design variables are also reduced from the original 32 to 9, namely the coordinates of the C point (Cx, Cy), the ordinates of the Gy, Ly, Ny, according to the needs, the optimal design The variables are selected from these 9 design variables.
Geometric constraints: There is a limit to the choice of design variable range. It must be ensured that the topological information of the geometric entities cannot be changed during the optimization process.
Intensity Constraints: When conducting the optimal design of the compressor blade overall disk structure, what kind of strength standard is used as the strength constraint is a very complicated issue. Here, the strength constraint requirements for the optimization design of the first-stage entire blade disk of an engine high-pressure compressor are mainly referenced here: (1) The maximum equivalent stress (Von-Mises stress) is applied to the entire entire blade disk. ) Constraints, taking TC11 disk die forgings at 200 °C σ (2) on areas not allowed to yield webs, that is, area 2 in Figure 2, the maximum equivalent stress constraint, take TC11 disk forgings -3σ value 80% of the constraint value. (3) For the noon of the wheel plate, implement the average circumferential stress constraint, and take the average diameter of the TC11 disk die forging at 200°C and σ(4) to the throat area of ​​the web, ie the top surface of the area 2 in Fig. 2 . To constrain the stress, take 75% of the -3σ value of the TC11 disc forging as the constraint value, that is, 0.75 (5) on the hub area, implement the low cycle fatigue constraint, the cycle is zero to the maximum speed and then to the zero meter, its life is not Less than 8800 cycles.
Since the ARIES software itself cannot apply the average circumferential stress, the average radial stress, and the low cycle fatigue constraint, after the ARIES completes the basic optimization model definition, the NASTRAN input card is generated.
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