Design and motion mechanism analysis of screw-driven in-pipe inspection robot based on novel adapting mechanism

Author:

Yin JihuaORCID,Liu Xuemei,Wang Youqiang,Wang Yucheng

Abstract

AbstractIn the pipeline industry, it is often necessary to monitor cracks and damage in pipelines, or need to clean the inside of the pipeline regularly, or collect adhesive on the inner wall of the pipe, but the pipe is too narrow and difficult for humans to enter, it is necessary to use a pipe machine to complete the work. In this paper, a newly designed screw-driven in-pipe inspection robot (IPIR) is proposed. Compared with common robots, this robot innovatively designs adapting mechanism. The robot can not only adapt to the change of the inner diameter size of the pipeline by using the bionic principle and the deformation characteristics of flexible components but also can pass smoothly in the horizontal/oblique/vertical pipelines and has a certain ability to cross obstacles. In addition, it can transmit images of the inner wall of the pipeline wirelessly for data analysis. Finally, through theoretical analysis and prototype construction, the performance of the robot is verified. The results show that the prototype robot can not only smoothly pass through the acrylic pipe with inner diameter of 120–138 mm but also pass through boss with a height of 3 mm.

Publisher

Cambridge University Press (CUP)

Reference41 articles.

1. Characteristic analysis of a novel in-pipe driving robot;Liu;Mechatronics,2013

2. In-pipe inspection robotic system for defect detection and identification using image processing;Colvalkar;Mater. Today Proc.

3. A review on various types of in-pipe inspection robot;Verma;Materials Today: Proceedings,2022

4. Ultrasonic thickness measuring in-pipe robot for real-time non-destructive evaluation of polymeric spray linings in drinking water pipe infrastructure;Wickramanayake;Mechatronics,2022

5. Neural network-based motion modeling and control of water-actuated soft robotic fish;Chen;Smart Mater. Struct.,2023

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