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Development of acomplex robot structure: Development and analysis of a cast triple traction system for the robotoperating at CERN facilities
Jönköping University, School of Engineering, JTH, Materials and Manufacturing. CERN.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesisAlternative title
Utveckling av en komplex robotstruktur : Utveckling och analys av ett gjutet tredubbelt dragsystem för den robot som arbetar vid CERN-anläggningar. (Swedish)
Abstract [en]

All devices working in hazardous environments have specific requirements to reduce the intervention of human power as much as possible. The robot that this thesis is focused on is no exception to this rule. This dissertation summarized theprocess followed to achieve a theoretical design of a traction system for the CERNBot, the robot that operates at CERN facilities.

This traction system had to be capable of achieving a speed of 10 km/h, going upstairs and make tight turns without draining completely the battery of the device. For that purpose, it was decided to include three types of traction systems such apneumatic wheel, a track system and a mecanum-wheel (an omnidirectional wheel capable of moving in any direction). This design had to include as many commercially available pieces as possible to maintain the costs contained.

In order to comply and extend the battery lifetime as much as possible, topological optimization was applied to the non-commercial pieces, reducing the weight of thepiece by 25%.

After achieving the weight reduction, a discussion about the best manufacturing methodology is done, comparing the manufacture using a CNC machine or casting the device, including the possible defects and costs that both models can have.

The results show that manufacturing this piece with casting can lead to a cheaper and more complex piece.

Place, publisher, year, edition, pages
2023. , p. 60
Keywords [en]
CERNBot, Traction, Topology optimization, Sand casting
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hj:diva-60012ISRN: JU-JTH-PRU-2-20230341OAI: oai:DiVA.org:hj-60012DiVA, id: diva2:1745328
External cooperation
CERN
Subject / course
JTH, Mechanical Engineering
Examiners
Available from: 2023-03-23 Created: 2023-03-22 Last updated: 2025-10-13Bibliographically approved

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CiteExportLink to record
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