Study on Dynamic Characteristics of Pipeline Jet Cleaning Robot

Author:

Yan Hongwei1ORCID,Niu Hailong1,Chang Qi1,Zhao Pengyang1,He Bolong1

Affiliation:

1. School of Mechanical Engineering, North University of China, Taiyuan 030051, Taiwan

Abstract

With the passage of time during pipeline operation, a substantial number of impurities accumulate and adhere to the inner wall of the pipeline. This deposition hinders the pipeline’s ability to function correctly, thereby posing significant hidden risks to people’s lives and the safety of their property. This article focuses on employing pipeline robots for internal cleaning. It examines the jet cleaning process of the spiral-driven pipeline inspection and cleaning robot, aiming to determine the optimal motion state and cleaning parameters for the device within the pipeline. The findings are verified and analyzed through experiments. It was observed that the cleaning effect is enhanced, with a target surface distance of approximately 12- to 13-times the diameter of the nozzle outlet (around 25 mm). In addition, an incident angle of 15° yields favorable cleaning results, with a maximum shear force exerted on the target surface of approximately 0.11 MPa. Ensuring that the pipelines operate reasonably and stably, thus guaranteeing their safe functioning and preventing significant economic and environmental damage, holds immense value.

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

Reference32 articles.

1. Research status and prospects of pipeline robots;Wang;Ordnance Ind. Autom.,2019

2. Structure and control system design of variable diameter pipeline robot;Liu;Agric. Equip. Veh. Eng.,2022

3. Design and research on modular adaptive pipeline robot mechanism;Lu;Gansu Sci. Technol.,2021

4. Structure and passability analysis of pipeline robots;Li;Mech. Transm.,2021

5. Overview of pipeline robots;Zhang;Equip. Manuf. Technol.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3