Multi-objective Optimization of Filament Winding Constrained Structure of Electromagnetic Gun

doi:10.12382/bgxb.2023.1144

Abstract

Abstract:

Through the classical lamination theory and coordinate transformation, the material model is simplified, and the modeling of complex laminated composite is avoided. A multi-objective improved immune clonal cuckoo algorithm (MOIICCA) is proposed for the multi-objective optimization of fiber winding constrained structure of electromagnetic gun. The accuracy of MOIICCA algorithm is verified by 100 simulation calculations of ZDT1-ZDT3 test function, and the performance of MOIICCA algorithm is measured by inverted generational distance (IGD) evaluation index. By introducing the learning method of deep neural network and taking 646 groups of electromagnetic gun finite element calculation results as the training set, the deep neural network agent model which meets the engineering application requirements is trained to replace the finite element simulation, thus improving the computational efficiency of multi-objective optimization. Finally, MOIICCA algorithm is used to optimize the constrained structure of electromagnetic gun fiber winding, and the Pareto solution set is obtained. IGD results show that MOIICCA algorithm has higher computational accuracy and efficiency than the multiple objective particle swarm optimization algorithm and the non-dominated sorting genetic algorithm II, and has more advantages in solving the high-dimensional problems, and t. The test results also show that MOIICCA algorithm can get better Pareto set in a shorter time. The results of the first 10 sets of Pareto solutions show that the fiber layer 1 of the winding structure mainly improves the circumferential strength, and the fiber layer 2 mainly balances the circumferential strength and axial stiffness.

Key words: electromagnetic gun, composite material, multi-objective optimization, fiber winding constrained structure, clonal selection algorithm, cuckoo search algorithm

CLC Number:

TJ04

ZHAO Wei, HOU Baolin. Multi-objective Optimization of Filament Winding Constrained Structure of Electromagnetic Gun[J]. Acta Armamentarii, 2024, 45(11): 3820-3832.

Figures/Tables 20

References 23

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材料	密度ρ/(kg·m^-3)	弹性模量E/GPa	泊松比ν
铜导轨	8300	110.00	0.340
陶瓷绝缘材料	3896	293.15	0.218
钢套	7850	206.00	0.300

材料	密度ρ/(kg·m^-3)	弹性模量E/GPa	泊松比ν
铜导轨	8300	110.00	0.340
陶瓷绝缘材料	3896	293.15	0.218
钢套	7850	206.00	0.300

参数	数值	参数	数值
密度ρ/(kg·m^-3)	2000	环-径向泊松比ν_yz	0.4
轴向弹性模量E_xx/GPa	45.0	轴-径向泊松比ν_xz	0.2
环向弹性模量E_yy/GPa	10.0	轴-环向剪切模量G_xy/GPa	5.0
径向弹性模量E_zz/GPa	10.0	轴-径向剪切模量G_xz/GPa	3.8
轴-环向泊松比v_xy	0.3	环-径向剪切模量G_yz/GPa	5.0

参数	数值	参数	数值
密度ρ/(kg·m^-3)	2000	环-径向泊松比ν_yz	0.4
轴向弹性模量E_xx/GPa	45.0	轴-径向泊松比ν_xz	0.2
环向弹性模量E_yy/GPa	10.0	轴-环向剪切模量G_xy/GPa	5.0
径向弹性模量E_zz/GPa	10.0	轴-径向剪切模量G_xz/GPa	3.8
轴-环向泊松比v_xy	0.3	环-径向剪切模量G_yz/GPa	5.0

参数	数值	参数	数值
密度ρ/(kg·m^-3)	1680	轴向泊松比ν₁₂	0.259
轴向弹性模量E₁₁/GPa	143.8	轴向剪切模量G₁₂/GPa	4.82
横向弹性模量E₂₂/GPa	4.82	横向剪切模量G₂₃/GPa	3.38