Theoretical and Simulation Study of Suction Force in Wall-Climbing Cleaning Robots with Negative Pressure Adsorption

To address the frequent cleaning requirements of casting molds in bridge tower construction, a wall-climbing cleaning robot based on negative pressure adsorption is designed to safely and efficiently replace manual labor for cleaning tasks. The primary focus of this paper is the establishment of a theoretical model for negative pressure adsorption, along with an analysis of potential adhesion hazards. Initially, the robot’s chassis was designed, followed by the development of a theoretical model for the rotational-flow suction unit that incorporates two critical parameters: the number of blades and their thickness. This model was validated through computational fluid dynamics (CFD) and experimental methods. The findings indicate that, with fewer blades, an increase in blade quantity significantly improves the distribution of nonlinear velocity in the z-plane, resulting in a substantial enhancement of suction force up to a certain limit. As the number of blades increases, the thickness of the blades primarily influences the volume of air within the rotating domain, thereby affecting the suction force; thinner blades are preferable. Moreover, this study reveals that square suction units provide greater suction force compared to circular ones, attributable to their superior negative pressure effect and larger adsorption area. The most critical adhesion risk identified is leakage at the edges of the suction unit.

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Publication Details

Journal
Applied Sciences
Published
2024-12-26
DOI
https://doi.org/10.3390/app15010080
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Theoretical and Simulation Study of Suction Force in Wall-Climbing Cleaning Robots with Negative Pressure Adsorption

Peixian Zhang, Shida Yang, Zheng Zhang, Chaobin Xu et al.
2 links
Applied Sciences
Soft Robotics and Applications
article

Theoretical and Simulation Study of Suction Force in Wall-Climbing Cleaning Robots with Negative Pressure Adsorption

Peixian Zhang, Shida Yang, Zheng Zhang, Chaobin Xu, Bazhou Li, Yang Li
article en

Abstract

To address the frequent cleaning requirements of casting molds in bridge tower construction, a wall-climbing cleaning robot based on negative pressure adsorption is designed to safely and efficiently replace manual labor for cleaning tasks. The primary focus of this paper is the establishment of a theoretical model for negative pressure adsorption, along with an analysis of potential adhesion hazards. Initially, the robot’s chassis was designed, followed by the development of a theoretical model for the rotational-flow suction unit that incorporates two critical parameters: the number of blades and their thickness. This model was validated through computational fluid dynamics (CFD) and experimental methods. The findings indicate that, with fewer blades, an increase in blade quantity significantly improves the distribution of nonlinear velocity in the z-plane, resulting in a substantial enhancement of suction force up to a certain limit. As the number of blades increases, the thickness of the blades primarily influences the volume of air within the rotating domain, thereby affecting the suction force; thinner blades are preferable. Moreover, this study reveals that square suction units provide greater suction force compared to circular ones, attributable to their superior negative pressure effect and larger adsorption area. The most critical adhesion risk identified is leakage at the edges of the suction unit.

Applied SciencesVol. 15(1)
CCCC Wuhan Harbour Engineering Design and Research (China) (CN), Hubei University of Technology (CN)
Department of Science and Technology, Hubei Provincial People's Government
Openalex Percentile: Top 77%
Soft Robotics and Applications
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Theoretical and Simulation Study of Suction Force in Wall-Climbing Cleaning Robots with Negative Pressure Adsorption — Peixian Zhang, Shida Yang, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS