Analysis of a Tracked In-Pipe Robot’s Obstacle-Crossing Performance

Pipeline transportation of oil and gas is widespread. To improve inspection and maintenance, a pipeline inspection robot was developed in our study. We employed a threaded nut mechanism with a preload spring and diameter-adjustment methods. A torque output formula was derived. At maximum (340 mm) and minimum (260 mm) diameters, angles α and β were given. A pipeline obstacle model was established with a maximum crossing height of 7.5 mm. Simulation and experiments showed that the robot could cross up to 7.8 mm, performed well, and operated stably, which met our expectations.

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Publication Details

Journal
Applied Sciences
Published
2025-05-23
DOI
https://doi.org/10.3390/app15115905
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of a Tracked In-Pipe Robot’s Obstacle-Crossing Performance

Linzheng Ye, Пэйдэ Лю, Xijing Zhu, Guodong Liu et al.
Applied Sciences
Soft Robotics and Applications
article

Analysis of a Tracked In-Pipe Robot’s Obstacle-Crossing Performance

Linzheng Ye, Пэйдэ Лю, Xijing Zhu, Guodong Liu, Fei Li
article en

Abstract

Pipeline transportation of oil and gas is widespread. To improve inspection and maintenance, a pipeline inspection robot was developed in our study. We employed a threaded nut mechanism with a preload spring and diameter-adjustment methods. A torque output formula was derived. At maximum (340 mm) and minimum (260 mm) diameters, angles α and β were given. A pipeline obstacle model was established with a maximum crossing height of 7.5 mm. Simulation and experiments showed that the robot could cross up to 7.8 mm, performed well, and operated stably, which met our expectations.

Applied SciencesVol. 15(11)
North University of China (CN)
National Natural Science Foundation of China, North University of China
Openalex Percentile: Top 89%
Soft Robotics and Applications
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Analysis of a Tracked In-Pipe Robot’s Obstacle-Crossing Performance — Linzheng Ye, Пэйдэ Лю, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS