2023
DOI: 10.1007/s11071-023-08376-z
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Dynamic analysis of a soft capsule robot self-propelling in the small intestine via finite element method

Abstract: To reduce potential trauma to the intestine caused by the rigid shell while also optimising its progression efficiency, an elastomer coating was applied to a self-propelled capsule robot for small-bowel endoscopy. The robot is self-propelled by its periodically excited inner mass interacting with the main body of the capsule in the presence of intestinal resistance. This work explored the dynamic responses of the capsule with different elastomer coatings (i.e., different elastic moduli and thicknesses) in the … Show more

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Cited by 6 publications
(1 citation statement)
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“…By establishing the dynamic model of the capsule robot with the spiral structure, as shown in figure 4(a), the optimal structure parameters were analyzed, and the fluid simulation of the propulsive force and the resistance of the capsule robot were carried out to obtain the optimal performance [30]. For the self-propelled capsule robot, a finite element method [31] and a multi-objective optimization method [32] were employed. The driving parameters and response targets were analyzed to obtain the optimal values, which provides a reference for the movement of the capsule robots in the intestinal tract.…”
Section: Locomotion Of Capsule Robotsmentioning
confidence: 99%
“…By establishing the dynamic model of the capsule robot with the spiral structure, as shown in figure 4(a), the optimal structure parameters were analyzed, and the fluid simulation of the propulsive force and the resistance of the capsule robot were carried out to obtain the optimal performance [30]. For the self-propelled capsule robot, a finite element method [31] and a multi-objective optimization method [32] were employed. The driving parameters and response targets were analyzed to obtain the optimal values, which provides a reference for the movement of the capsule robots in the intestinal tract.…”
Section: Locomotion Of Capsule Robotsmentioning
confidence: 99%