Optimization of the Vibro-Impact Capsule System for Promoting Progression Speed

Liao, Maolin; Yan, Yan; Liu, Yang

doi:10.1051/matecconf/201814810002

Cited by 3 publications

(1 citation statement)

References 11 publications

(13 reference statements)

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“…Asim et al [9][10][11] simulated the pressure-drop change of different slot widths and lengths, and the flow-field distribution of different bladder shapes in different pipe sections by CFD. Maolin et al [12] aimed to minimize the resistance and lift of the fixed capsule in the pipe flow, and studied the optimization of the capsule shape by using CFD. Zhang et al [13][14][15] used Fluent to study the flow-field characteristics of different structural capsules in pipeline water flow on the basis of fluid-solid coupling, and optimized capsule structure.…”

Section: Introductionmentioning

confidence: 99%

The Wall Stress of the Capsule Surface in the Straight Pipe

Yang

2020

Water

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Hydraulic capsule transportation is a new energy-saving transport mode. It is of great significance to the study of flow-field characteristics and pipeline-stress analysis. The purpose of this paper was to analyze the stress distribution on capsule surfaces when there is stationary in pipe flow. Results showed that the maximum shear stress on the capsule wall appeared in the rear section. Shear-stress range was between 0 and 38 Pa. Principal stress exerted great force on the capsule. The circumferential component of the principal stress was the largest, followed by the axial component, and the radial component was the smallest, i.e., σc > σa> σr. The larger the discharge of pipe flow, the greater the influence of unit discharge on wall shear stress and capsule principal stress, that is, k1 < k2< k3. Under the conditions of this experiment, the axial component of principal stress should include shear stress on the capsule, and Reynolds stress on the capsule cannot be neglected due to water-flow turbulence.

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Section: Introductionmentioning

confidence: 99%

The Wall Stress of the Capsule Surface in the Straight Pipe

Yang

2020

Water

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Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network

et al. 2023

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In this paper the construction of a neural-network based closed-loop control of a discontinuous capsule drive is analyzed. The foundation of the designed controller is an optimized open-loop control function. A neural network is used to determine the dependence between the output of the open-loop controller and the state of the system. Robustness of the neural controller with respect to variation of parameters of the controlled system is analyzed and compared with the original optimized open-loop control. It is expected that the presented method can facilitate the construction of closed-loop controllers for which alternative methods are not effective, such as non-smooth or discontinuous ones.

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