Residential Collegefalse
Status已發表Published
Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model
Yi Fang1; Shuai Wang2; Da Cui1; Qiushi Bi1; Ruihua Jiang1; Chuliang Yan1
2022-12-01
Source PublicationScientific Reports
ISSN2045-2322
Volume12Issue:1Pages:9571
Abstract

In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economic losses and casualties caused by working at heights. This paper designs a negative pressure adsorption type wall-climbing robot and analyzes the internal fluid movement state of its negative pressure device and the force analysis of the robot when it is adsorbed and balanced. Furthermore, through the experimental prototype, the influence of wall material, robot pose, negative pressure cavity shape and sealing method on the adsorption performance of the wall-climbing robot is explored. The computational fluid dynamics simulation (CFD) simulation method and experimental results are used to verify each other, which proves the correctness of the simulation results. Based on the Kriging surrogate model, the functional relationship between the impeller blade outlet angle, the impeller inlet diameter, the number of blades as the design variables, the negative pressure as the dependent variable was established, and the genetic algorithm (GA) was used to optimize it. Compared with the original design, the optimized design results of impeller parameters have increased the negative pressure value from 3534.75 to 4491.19 Pa, an increase of 27.06%.

DOI10.1038/s41598-022-13784-z
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000809441100017
PublisherNATURE PORTFOLIO, HEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY
Scopus ID2-s2.0-85131814102
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorShuai Wang; Da Cui
Affiliation1.School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China
2.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, 999078, Macao
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yi Fang,Shuai Wang,Da Cui,et al. Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model[J]. Scientific Reports, 2022, 12(1), 9571.
APA Yi Fang., Shuai Wang., Da Cui., Qiushi Bi., Ruihua Jiang., & Chuliang Yan (2022). Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model. Scientific Reports, 12(1), 9571.
MLA Yi Fang,et al."Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model".Scientific Reports 12.1(2022):9571.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yi Fang]'s Articles
[Shuai Wang]'s Articles
[Da Cui]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yi Fang]'s Articles
[Shuai Wang]'s Articles
[Da Cui]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yi Fang]'s Articles
[Shuai Wang]'s Articles
[Da Cui]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.