Preliminary design and evaluation of a ducted-fan type pipeline robot

Abstract Pipelines are crucial infrastructure supporting human life, yet their maintenance costs are substantial, necessitating the development of time-efficient robotic systems. Therefore, this study proposes an in-pipe mobile robot powered by wind generated using a ducted fan rotor, enabling faster movement within pipelines than conventional methods, e.g., inchworm. Deriving the propulsion force from wind requires analyzing airflow within the pipeline, which is challenging due to the confined space and complexity, especially when considering the presence of robots. Hence, we developed a prototype of a ducted-fan type pipeline robot (DPR) and experimentally investigated duct shapes that enhance the propulsion of the DPR within pipelines. As a result, we identified duct shapes that amplify the propulsion force generated by the ducted fan within pipelines. Additionally, we also experimentally elucidated the relationship between the distance from the pipe’s end and the propulsion force of the robot. Furthermore, we demonstrated the capabilities of the DPR by traversing a pipeline with a diameter of 110 mm, achieving speeds of 1500 mm/s in horizontal pipes and 700 mm/s while ascending vertical pipes. The results show that DRP has the potential for in-pipe inspection.

Authors

Institutions

Publication Details

Journal
ROBOMECH Journal
Published
2024-12-21
DOI
https://doi.org/10.1186/s40648-024-00286-y
Citations
5
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preliminary design and evaluation of a ducted-fan type pipeline robot

Mitsuhiro Kamezaki, Shota Miyake, Shigeki Sugano, Kento Yoshida
5 citations
ROBOMECH Journal
Industrial Automation and Control Systems
1.64
article

Preliminary design and evaluation of a ducted-fan type pipeline robot

Mitsuhiro Kamezaki, Shota Miyake, Shigeki Sugano, Kento Yoshida
article en
5 citations

Abstract

Abstract Pipelines are crucial infrastructure supporting human life, yet their maintenance costs are substantial, necessitating the development of time-efficient robotic systems. Therefore, this study proposes an in-pipe mobile robot powered by wind generated using a ducted fan rotor, enabling faster movement within pipelines than conventional methods, e.g., inchworm. Deriving the propulsion force from wind requires analyzing airflow within the pipeline, which is challenging due to the confined space and complexity, especially when considering the presence of robots. Hence, we developed a prototype of a ducted-fan type pipeline robot (DPR) and experimentally investigated duct shapes that enhance the propulsion of the DPR within pipelines. As a result, we identified duct shapes that amplify the propulsion force generated by the ducted fan within pipelines. Additionally, we also experimentally elucidated the relationship between the distance from the pipe’s end and the propulsion force of the robot. Furthermore, we demonstrated the capabilities of the DPR by traversing a pipeline with a diameter of 110 mm, achieving speeds of 1500 mm/s in horizontal pipes and 700 mm/s while ascending vertical pipes. The results show that DRP has the potential for in-pipe inspection.

ROBOMECH JournalVol. 11(1)
Waseda University (JP), The University of Tokyo (JP)
New Energy and Industrial Technology Development Organization, Waseda University, Future Robotics Organization, Waseda University
Openalex Percentile: Top 15%
Industrial Automation and Control Systems
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.