Szczegóły publikacji

Opis bibliograficzny

An innovative fault detection robotic tool for overhead cranes in industries: magnetic wheel modelling and experimental validation / Arun Kumar YADAV, Janusz SZPYTKO // W: Innovative intelligent industrial production and logistics : 5th international conference, IN4PL 2024 : Porto, Portugal, November 21-22, 2024 : proceedings, Pt. 1 / eds. Michele Dassisti, Kurosh Madani, Hervé Panetto. — Cham : Springer, cop. 2025. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; vol. 2372). — ISBN: 978-3-031-80759-6; e-ISBN: 978-3-031-80760-2. — S. 282–295. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-02-13

Autorzy (2)

Dane bibliometryczne

ID BaDAP158217
Data dodania do BaDAP2025-03-20
DOI10.1007/978-3-031-80760-2_18
Rok publikacji2025
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Czasopismo/seriaCommunications in Computer and Information Science

Abstract

In this paper, we present the innovative robotic tool design and modelling, validation of a new family of climbing robots that are capable of adhering to vertical surfaces through permanent magnetic wheels. The robotic system is composed of two modules, a sensing module, and magnetic wheel module which are arranged in a sandwich configuration, with the surface to climb interposed between them. To perform the inspection task, few magnetic wheeled climbing robots have been proposed for many industrial applications of ferromagnetic structures. To achieve a reliable system, good payload abilities, and minimize the power consumption of robot, the design of magnetic circuit and calculation of adhesion forces of magnetic wheel are drive factor to achieve all these. In this paper a four permanent wheeled robot is proposed to climb on the bridges and girders of the overhead cranes for health monitoring. An improved design of magnetic wheel is presented in this paper. Finite element method is performed on the wheel to get the magnetic flux distribution and calculate the attractive forces between the wheels and inspection area. By the simulation distribution of magnetic flux lines were compared on the plane inspection area and a curved concave and convex surface. By keeping the main objective of recognizing the fault into the ferromagnetic structures a wireless robotic system is proposed for the overhead cranes.

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#156991Data dodania: 29.1.2025
An innovative fault detection robotic tool for overhead cranes in industries: magnetic wheel modelling and experimental validation / Arun YADAV, Janusz SZPYTKO // W: IFAC/INSTICC IN4PL 2024 [Dokument elektroniczny] : 5th IFAC/INSTICC international conference on Innovative intelligent industrial production and logistics : Porto, Portugal, November 21 - 22, 2024 : final program and book of abstracts. — Wersja do Windows. — Dane tekstowe. — Portugal : SCITEPRESS - Science and Technology Publications, cop. 2024. — S. 35–36. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://portal.insticc.org/SignUp [2024-12-03]. — Dostęp po zalogowaniu
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#158218Data dodania: 20.3.2025
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