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![Properties N35 and N52 magnets[19]](profile/Kuppan-Chetty-Ramanathan/publication/349079210/figure/tbl2/AS:11431281249821077@1717674267008/Properties-N35-and-N52-magnets19_Q320.jpg)
The focus of this work is to investigate the adhesion characteristics of a permanent magnet arrangement over ferromagnetic surfaces for wall-climbing robot applications. The changes in wall thickness affect the adhesion characteristics of the robot, this, in turn, influences the payload and alters the operating conditions. The effect of varying the wa...
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... 1: Dimensions of magnet used in the study Figure 1 shows the physical dimensions of the N35 magnets used in the study and Table 2 [19] gives the properties of the magnets N35 and N52 used in the simulations. The adjacent magnets used in the arrangement is placed in opposite polarity, the magnets at the end are of similar polarity. ...Citations
... The adhesion systems used for climbing vertical pipes are divided into five types [6], [7]. It consists of biometric [8]- [11], vacuum suction [12], rail-guided [13]- [15], gripping [16], [17] and magnetic adhesion [18]. ...
... This comes under the category of low carbon steel and these are widely used in industries. It is seen from studies [18] [24] that surface thickness has a significant impact on magnetic adhesion, and magnetic adhesion increases as surface thickness increases. So, in this simulation, the pipeline surface thickness is maintained to a minimum so that we may determine the maximum magnet adhesion force generated by the magnet for an extremely low surface thickness. ...
... Properties of N35 magnet[18] ...
... This work compares how the adhesion provided by the magnetic wheels [13] [17] and block magnets s [15] [16] perform based on weight to adhesion ratio. The flux density is studied based on simulations using the finite element method for magnetics. ...
... Once the milling is done the block magnets are placed in the groove that is milled and the polarity of the adjacent magnets are kept at the opposite polarity. This significantly improves the overall adhesion as per previous studies [15]. The material specified in the simulation for this block is 1018 steel. ...
... 2.1.2. Flux concentrator/ YokeThe adhesion provided by the Neodymium magnets can be bettered by placing it inside of a material with high permeability[13] [14] [[15] ...
Magnetic adhesion is widely used in wall climbing robots on ferromagnetic surfaces. The Ring and block Neodymium magnets provide the necessary adhesion in permanent magnet-based climbing robots. In this article, the effectiveness of ring and block magnets are analysed using FEMM. for various magnet configurations. The adhesion force generated by ring and block magnets of a similar volume is compared and analysed. The results showed that the adhesion of ring magnets increases with the thickness of magnets. The maximum adhesion achieved in various ring magnets was compared with the adhesion generated by the arrangement of block magnets for two standoff distances and it was found that the adhesion generated by the block magnets were better in both cases. The ring magnets have constant standoff distance as per the rubber coating used and this enables them to operate seamlessly on irregular surfaces while the block magnet configurations provide excellent payload capabilities. In summary, numerical simulation results provided an understanding of the areas where the ring magnets can be used and the areas where the block magnets serve the purpose better.
There is an obvious tendency towards increasing the information content of surveys of hard-to-reach objects at high altitudes through the use of remote-controlled robot crawlers. This can be explained by the reasonable desire of industrial objects owners to maintain their property: pipelines, containers, metal structures in operating technical condition, which contributes to reducing accident risks and increasing the economic efficiency of operation (optimization of repair planning, etc.) This paper presents the concept of a robotic device equipped with LIDAR and EMAT which can move over pipes from a diameter of 100 mm by using a special type of magnetic wheel. The robot uses convolutional neural networks to detect structural elements and classify their defects. The article contains information about tests held on a specially developed test rig. The results showed that the device could increase the information level of survey and reduce the labour intensity. In this work, we consider a prototype of the device which has not started mass operation at industrial facilities yet.
