Research on blade stress optimization method of axial flow compressor in compressed air energy storage system

doi:10.19799/j.cnki.2095-4239.2024.1011

Abstract

Abstract:

Compressed air energy storage (CAES) systems are recognized as one of the most promising large-scale physical energy storage technologies. At the heart of these systems lies the axial flow compressor, whose safety and operational stability are critical for ensuring the economic viability and safe use of advanced CAES. Within the compressor, the blades play a key role in energy conversion but are vulnerable to fatigue damage during operation. The stacking line of the blade can effectively adjust the stress distribution characteristics. This study focuses on the structural optimization of a 1.5-stage axial flow compressor within a CAES system. Latin hypercube planning (LHS) is employed for parameter selection, a radial basis function neural network (RBFNN) is used to establish the agent model, and the non-dominated sorting genetic algorithm-II (NSGA-II) is applied to capture the target value. Together, these approaches establish an integrated parametric optimization framework for three-dimensional bending and sweeping structure modeling of axial flow blades. The optimization results show that the maximum equivalent stress of the optimized blade decreases from 376.8 MPa to 255.9 MPa, achieving a stress reduction of 32.1%. The blade stress distribution is primarily influenced by centrifugal forces, while appropriate bending and sweeping modifications can effectively adjust the center of gravity and the centrifugal bending moment for each blade section. Notably, the optimization method does not significantly impact the flow field distribution, rotor surface load distribution, and tip clearance energy dissipation and achieve the decoupling of aerodynamic performance and structural stress distribution.

Key words: axial compressor, stacking method, parametric modeling, numerical simulation

CLC Number:

TK 14

Guiyue SHI, Hailiang TAO, Zhitao ZUO, Jingxin LI, Jixiang CHEN, Jiaxi CHEN, Haisheng CHEN. Research on blade stress optimization method of axial flow compressor in compressed air energy storage system[J]. Energy Storage Science and Technology, 2025, 14(4): 1522-1532.

Figures/Tables 23

Fig. 1

Fig. 2

Table 1

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Table 2

Optimization result"

参数	优化前	优化后
$x 2$	0	-1.998%
$z 2$	0	-2.646%
$x 4$	0	-4.927%
$z 4$	0	-0.701%
$σ m a x$ /MPa	376.8	255.9
优化量	0	-32.1%

Table 2

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Table 3

Maximum equivalent stress values under different loads"

施加载荷	优化前 $σ m a x$ /MPa	优化后 $σ m a x$ /MPa
气动力	13.9	13.5
离心力	368.2	256.6
气动力+离心力	376.8	255.9

Table 3

Fig. 13

Fig. 14

Table 4

Fig. 15

Fig. 16

Fig. 17

Fig. 18

Fig. 19

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参数	参数值
材料	合金钢
密度/(kg/m³)	7850
杨氏模量/MPa	210000
泊松比	0.3
设计转速/(r/min)	3000

算例	等熵效率/%	总压比
优化前	90.758	1.266
优化后	90.306	1.266

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