Finite Element Analysis based Optimization of Magnetic Adhesion Module for Concrete Wall Climbing Robot

Journal article


Howlader, MDOF and Sattar, TP (2015). Finite Element Analysis based Optimization of Magnetic Adhesion Module for Concrete Wall Climbing Robot. International Journal of Advanced Computer Science and Applications. 6 (8), pp. 8-18. https://doi.org/10.14569/ijacsa.2015.060802
AuthorsHowlader, MDOF and Sattar, TP
Abstract

Wall climbing robot can provide easier accessibility to tall structures for Non Destructive Testing (NDT) and improve working environments of human operators. However, existing adhesion mechanism for climbing robots such as vortex, electromagnet etc. are still at development stage and offer no feasible adhesion mechanism. As a result, few practical products have been developed for reinforced concrete surfaces, though wall-climbing robots have been researched for many years. This paper proposes a novel magnetic adhesion mechanism for wall-climbing robot for reinforced concrete surface. Mechanical design parameters such as distance between magnets, the yoke thickness, and magnet arrangements have been investigated by Finite Element Analysis (FEA). The adhesion module can be attached under the chassis of a prototype robot. The magnetic flux can penetrate maximum concrete cover of 30 mm and attain adhesion force of 121.26 N. The prototype provides high Force-to-Weight ratio compared to other reported permanent magnet based robotic systems. Both experiment and simulation results prove that the magnetic adhesion mechanism can generate efficient adhesion force for the climbing robot to operate on vertical reinforced concrete structures.

Year2015
JournalInternational Journal of Advanced Computer Science and Applications
Journal citation6 (8), pp. 8-18
Digital Object Identifier (DOI)https://doi.org/10.14569/ijacsa.2015.060802
Publication dates
Print07 Aug 2015
Publication process dates
Deposited20 Nov 2018
Accepted07 May 2014
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https://openresearch.lsbu.ac.uk/item/87631

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Deployment of laser cutting head with wall climbing robot for nuclear decommissioning
Sattar, TP, Hilton, P and Howlader, MOF (2016). Deployment of laser cutting head with wall climbing robot for nuclear decommissioning. 19th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR 2016). London 12 - 14 Sep 2016 World Scientific Publishing.
Safeguarding Safety Critical Infrastructure with Mobile Robot Inspectors , Opportunities and Challenges
Sattar, TP (2016). Safeguarding Safety Critical Infrastructure with Mobile Robot Inspectors , Opportunities and Challenges. International Conference on Sustainable Vital Technologies in Engineering and Informatics, BUE ACE1 2016. Cairo, Egypt 07 - 09 Nov 2016
Numerical fitting-based likelihood calculation to speed up the particle filter
Li, T, Sun, S, Corchado, JM, Sattar, TP and Si, S (2016). Numerical fitting-based likelihood calculation to speed up the particle filter. International Journal of Adaptive Control and Signal Processing. 30 (11), pp. 1583-1602. https://doi.org/10.1002/acs.2656
Non-destructive testing and condition monitoring with mobile wall climbing and swimming robots
Sattar, TP (2014). Non-destructive testing and condition monitoring with mobile wall climbing and swimming robots. 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014/MFPT 2014). Manchester, UK 10 - 12 Jun 2014 British Institute of Non-Destructive Testing (BINDT).
Comparison of MUSIC and ESPRIT DOA Estimation algorithms for Wireless Communications
Oumar, O A, Siyau, M F and Sattar, T. (2012). Comparison of MUSIC and ESPRIT DOA Estimation algorithms for Wireless Communications. The First International Conference on Future Generation Communication Technologies. London 12 - 14 Dec 2012