Optimizing Design of a New ZBO Cryogenic Storage Tank in Microgravity

Yuan, Xianbao; Wang, X.J.; Fang, Minxia; Liu, Y.W.

doi:10.1016/j.egypro.2014.12.248

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…The optimal design researches of tank structure mainly include the innovative design concepts (such as the sandwich concept 8 and the multi-cell tank concept 9 ), the optimal design of tank stiffened structure (by using the coupled finite element genetic algorithm, 10 the neural network and genetic algorithm, 11 the finite element integrated force method, 12 and the multi-island algorithm 13 ), and the optimization of tank geometrical parameters (such as the geometrical optimization of the cryogenic to improve its cooling performance, 14 and the optimal design of tank shape by using b-spline curves 15 .…”

Section: Introductionmentioning

confidence: 99%

An optimal design model for the wall thickness of the propellant tank

Xin

Wang

Cui

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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The propellant tank is a vital part for the liquid rocket, and the optimal design of the propellant tank is a significant research to develop the heavy rocket. This paper aims at providing an optimal design model for tank wall thickness. Through establishing the tank mathematical model, analyzing the stress distributions of tank, and defining the equivalent stress of tank, the wall thickness parameters of tank roof, cylinder, and bottom are obtained. The effects of tank parameters on the wall thickness are analyzed to determine the distribution rules of tank roof, cylinder, and bottom wall thickness parameters. Combined with the safety factor that is defined as the ratio of the material's ultimate stress to the maximum equivalent stress, the optimal design model with invariable tank roof and bottom wall thicknesses and variable tank cylinder wall thickness is established. Finally, the optimal design model is verified by comparing the optimal tank with the original tank. The results show that the optimal design model can effectively decrease the mass of the tank and improve the stress distribution of the tank.

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Section: Introductionmentioning

confidence: 99%

An optimal design model for the wall thickness of the propellant tank

Xin

Wang

Cui

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…In order to withstand the internal high pressures, a storage tank is generally designed in a cylindrical [1][2][3][4][5][6][7], oval [8,9], or spherical [10] shape. This structure and shape affects the performance of the storage tank.…”

Section: Introductionmentioning

confidence: 99%

Structural Performance Optimization and Verification of an Improved Thin-Walled Storage Tank for a Pico-Satellite

Teng

Zhong-he

2017

Applied Sciences

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This paper presents an improved mesh storage tank structure obtained using 3D metal printing. The storage tank structure is optimized using a multi-objective uniform design method. Each parameter influencing the storage tank is considered as the optimization factor, and the compression stress (σ ), volume utilization ratio (v), and weight (m), are considered as the optimization objectives. Regression equations were established between the optimization factors and targets, the orders of the six factors affecting three target values are analyzed, and the relative deviations between the regression equation and calculation results for σ , v, and m were 9.72%, 4.15%, and 2.94%, respectively. The optimization results showed that the regression equations can predict the structure performance of the improved storage tank, and the values of the influence factors obtained through the optimization are effective. In addition, the compression stress was improved by 24.98%, the volume utilization ratio was increased by 26.86%, and the weight was reduced by 26.83%. The optimized storage tank was developed through 3D metal printing, and the compressive stress was improved by 58.71%, the volume utilization ratio was increased by 24.52%, and the weight was reduced by 11.67%.

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