Volume 8, No. 1, January 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
  • E-mail questions to IJMERR Editorial Office.

Submissions

Please send your full manuscript to:

ijmerr@vip.163.com


Useful Documents

Paper Template

Copyright Transfer Agreement

Application For Reviewers

Contact us

International Journal of Mechanical Engineering and Robotics Research
E-mail: ijmerr@vip.163.com

Experimental and Numerical Optimization of Magnetic Adhesion Force for Wall Climbing Robot Applications

Anwar Sahbel 1, Ayman Abbas 1, and Tariq Sattar 2
1. Mechanical Engineering Department, the British University in Egypt, Cairo, Egypt
2. Robotics and NDT Research Centre, London South Bank University, London, UK

Abstract— Wall climbing robots require adhesion methods which are suited to the climbing surface material and roughness. In this paper, an optimum design of a magnetic adhesion mechanism has been developed for ferrous surfaces that maximises the magnetic adhesion force. This in turn maximises the payload that can be carried by the climbing robot. Experiments have been designed using the Response Surface Methodology (RSM) to study the effect of identified independent parameters (namely the distance between magnets, air gap and yoke thickness) that affect the response variable i.e. the magnetic adhesion force. A quadratic regression model has been developed to represent an empirical relationship between the response variable and the independent variables. Statistical analysis of the predicted model has been investigated using analysis of variance (ANOVA). To inspect the adequacy of the predicted quadratic model, validating experiments have been carried out at different conditions where the experimental results showed similar response values to the predicted model responses. Numerical optimisation has been applied to predict the optimum variable conditions for maximum adhesion force and air gap, resulting in an adhesion force of 240.3 N at 20 mm distance between magnets, 18.5 mm air gap and 8.3 mm yoke thickness. The optimum conditions have been numerically validated using a commercial finite element simulator. The numerically optimised design parameters have been used to design and construct a prototype wall climbing robot.

Index Terms—adhesion force, numerical simulation, climbing robot, response surface methodology, optimisation, permanent magnet adhesion system

Cite: Anwar Sahbel, Ayman Abbas, and Tariq Sattar, "Experimental and Numerical Optimization of Magnetic Adhesion Force for Wall Climbing Robot Applications," International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 1, pp. 18-24, January 2019. DOI: 10.18178/ijmerr.8.1.18-24