Dynamics Response of Filament-Wound Composite Barrel for Rail Gun With Acceleration Load

Yin, Dongmei; Xiao, Hongcheng; Li, Baoming

doi:10.1109/tps.2018.2822665

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…Te greater the stifness of the insulation gets, the smaller the efect of its damping is. Terefore, most studies ignore the damping in modeling for simplifcation [6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Dynamic Modeling Of the Railmentioning

confidence: 99%

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Dynamic Response and Parameter Analysis of Electromagnetic Railguns under Time Varying Moving Loads

Liu,

Zhang,

Wang

2023

Shock and Vibration

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During the launch process of an electromagnetic railgun, the armature is subjected to the ampere force and moves along the rail with variable acceleration. In this period, the rail is excited by time varying moving loads and generates lateral vibration. For analysis, the rail is simplified as an Euler–Bernoulli beam, and the nonlinear dynamic equation of the beam under time varying moving loads is established. The electromagnetic repulsive force between rails, the contact pressure between the armature and the rail, and the thermal expansion pressure acting on the rail are taken into account. The lateral vibration response of the rail is achieved by using the analytical method combined with numerical integration. The variable motion of the armature during launch is also illustrated. Furthermore, the study of the effects of structure parameters on the vibration amplitude of the rail is performed. The research results can provide a theoretical basis for the structural optimization and vibration reduction of electromagnetic railguns.

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Section: Dynamic Modeling Of the Railmentioning

confidence: 99%

“…Te dynamic response of the beam was solved by using twodimensional Fourier integral transformation. Yin et al [17] calculated the critical velocity of a fexural wave in the composite housing of the railgun barrel using the 3D transient fnite element. Te dynamic responses and the development of damage for the railgun barrel were analyzed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response and Parameter Analysis of Electromagnetic Railguns under Time Varying Moving Loads

Liu,

Zhang,

Wang

2023

Shock and Vibration

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“…At the same time, it can accurately assess the power consumption and size of the instrument. Yin et al (2018) stated the working principle of the three-axis acceleration sensor: the use of piezoelectric, piezoresistive and capacitive principles. Its acceleration changes proportionally with the voltage, resistance and electric torch in the sensor.…”

Section: Analysis Of Falls In Stroke Patientsmentioning

confidence: 99%

Information collection system for fall detection of stroke patients under cascade algorithm in the context of multi‐modal information fusion and e‐health

Lv¹,

Ma²,

Jin-sheng³

et al. 2021

Expert Systems

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To effectively detect stroke patients after falling under e-health, the fall situation of patients is graded, and warnings are given to improve the survival probability of stroke patients after falling. First, the fall model of stroke patients is analysed. According to the model, multi-modal information fusion fall detection technology is proposed, including data fusion algorithm and feature recognition technology. Also, various sensor data are adjusted. The fall detection cascade algorithm is proposed to classify data with different features in order, thereby completing target detection. Finally, combined with heart rate sensor, height sensor and microcontroller unit software and patients' e-health information, the research and development of an information collection system for fall detection are realized. Six young volunteers are selected to test the system performance. The results show that for the six testers, the heart rate detected by the ordinary device and the device of this investigation is the same when it is resting in different states of resting, walking, as well as walking and falling. The heart rate difference between walking and falling detection is not large (within the allowable error range of the device). But the best detection effect is to measure after the patient falls, which not only reduces power consumption but also keeps the detection error to a minimum. The height sensor is in the static state, increased by 75 m in the vertical direction and decreased by 75 cm from the static position in the vertical direction. The height difference of the data information exported from these three cases has some errors compared with the actual 75 cm. The tester's three situations of resting, walking and falling, standing up after sitting still and falling are observed. The waveform when resting is stable, and the acceleration information also fluctuates significantly when walking and after standing up. The accuracy of the developed system is above 80%, which achieves the expected effect and assisted medical treatment of fall detection based on patients' e-health information.The results show that the proposed information collection system for fall detection of stroke patients under cascade algorithm in the context of multi-modal information fusion has good performance and high practical value.

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“…Among these methods, bolt pre-tightening and filament winding are the most commonly used for achieving pre-stress in railguns equipped with composite barrels. However, studies on pre-stressed barrels have primarily focused on the stress distribution of the barrel [29][30][31][32][33][34], and there have been few investigations into the mechanism of how pre-stress influences the railgun system. The influence of pre-stressed composite barrels on railguns has been extensively studied.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Expansion of Arch-Shaped Electromagnetic Railguns with Pre-Stressed Composite Barrels

et al. 2023

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Rail expansion significantly impacts the launch precision of a railgun system. Higher precision can be achieved when the extent of expansion is low. This paper investigates three main factors that influence the extent of rail expansion using the finite element method, including pre-stress, electromagnetic load, and stiffness of the insulators. The mean squared error between experiment results and simulating results is less than 0.06, validating the finite element model. The simulated results reveal that the extent of rail expansion increases with a decrease in pre-stress and an increase in electromagnetic pressure and the stiffness of the insulator is the most significant influencing factor, as the use of a stiff insulator not only results in a small extent of rail expansion but also delays the separation between the rails and insulators. The mechanism of how pre-stress influences the railgun system has been proposed. It has been expressed that the pre-stress maintains the integrity of the railgun system by hindering the process of a decrease in the contact surface area between rails and insulators during launch. The study provides a platform to improve the design of the railgun system.

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Dynamics Response of Filament-Wound Composite Barrel for Rail Gun With Acceleration Load

Cited by 8 publications

References 10 publications

Dynamic Response and Parameter Analysis of Electromagnetic Railguns under Time Varying Moving Loads

Dynamic Response and Parameter Analysis of Electromagnetic Railguns under Time Varying Moving Loads

Information collection system for fall detection of stroke patients under cascade algorithm in the context of multi‐modal information fusion and e‐health

Factors Influencing the Expansion of Arch-Shaped Electromagnetic Railguns with Pre-Stressed Composite Barrels

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