Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly

The present paper presents a newly designed dexterous mobile parallel mechanism for fusion reactor vacuum vessel assembly, the robot system has advantages in terms of compact design, the capability to carry out heavy-duty machining tasks, evacuation, and has less space occupation compared to other r...

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Autores principales:	Changyang Li, Huapeng Wu, Harri Eskelinen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Mobile robots parallel robots optimization fusion reactors Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/ed117a08d67647029b42965230ff0768
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spelling	oai:doaj.org-article:ed117a08d67647029b42965230ff07682021-11-24T00:03:01ZDesign and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly2169-353610.1109/ACCESS.2021.3127947https://doaj.org/article/ed117a08d67647029b42965230ff07682021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9614119/https://doaj.org/toc/2169-3536The present paper presents a newly designed dexterous mobile parallel mechanism for fusion reactor vacuum vessel assembly, the robot system has advantages in terms of compact design, the capability to carry out heavy-duty machining tasks, evacuation, and has less space occupation compared to other robot systems in existence. Despite different robot systems are studied in the fusion reactor, there is still a lack of research on mechanism development for vacuum vessel assembly, which is attractive to future fusion reactors. In the fusion reactor, the robot systems will carry out different tasks, such as welding and machining. The assembly tasks of the vacuum vessel will be performed from inside of the vacuum vessel on-site. Then the paper introduces the single-objective and multi-objective optimization design of the proposed mechanism, the optimized objective is considered to be a combination of parallel mechanism dynamic machining force, dexterity, stiffness, and workspace volume. The design variables are derived from the geometry of the fixed and movable platforms, which include mass, inertia, the sizes of the platforms, and distances between universal joints located on the platforms. In the multi-objective optimization, non-dominated sorting genetic algorithm II is adopted and different trajectories are designed to simulate the machining process, which further turns the local optimization problem into a global optimization problem. Finally, the optimized results are extracted and analyzed. Simulation results indicate the effectiveness of the proposed multi-objective optimization approaches and multi-objective optimization is found to be more reliable than single-objective optimization.Changyang LiHuapeng WuHarri EskelinenIEEEarticleMobile robotsparallel robotsoptimizationfusion reactorsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153796-153810 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mobile robots parallel robots optimization fusion reactors Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Mobile robots parallel robots optimization fusion reactors Electrical engineering. Electronics. Nuclear engineering TK1-9971 Changyang Li Huapeng Wu Harri Eskelinen Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
description	The present paper presents a newly designed dexterous mobile parallel mechanism for fusion reactor vacuum vessel assembly, the robot system has advantages in terms of compact design, the capability to carry out heavy-duty machining tasks, evacuation, and has less space occupation compared to other robot systems in existence. Despite different robot systems are studied in the fusion reactor, there is still a lack of research on mechanism development for vacuum vessel assembly, which is attractive to future fusion reactors. In the fusion reactor, the robot systems will carry out different tasks, such as welding and machining. The assembly tasks of the vacuum vessel will be performed from inside of the vacuum vessel on-site. Then the paper introduces the single-objective and multi-objective optimization design of the proposed mechanism, the optimized objective is considered to be a combination of parallel mechanism dynamic machining force, dexterity, stiffness, and workspace volume. The design variables are derived from the geometry of the fixed and movable platforms, which include mass, inertia, the sizes of the platforms, and distances between universal joints located on the platforms. In the multi-objective optimization, non-dominated sorting genetic algorithm II is adopted and different trajectories are designed to simulate the machining process, which further turns the local optimization problem into a global optimization problem. Finally, the optimized results are extracted and analyzed. Simulation results indicate the effectiveness of the proposed multi-objective optimization approaches and multi-objective optimization is found to be more reliable than single-objective optimization.
format	article
author	Changyang Li Huapeng Wu Harri Eskelinen
author_facet	Changyang Li Huapeng Wu Harri Eskelinen
author_sort	Changyang Li
title	Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
title_short	Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
title_full	Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
title_fullStr	Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
title_full_unstemmed	Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly
title_sort	design and multi-objective optimization of a dexterous mobile parallel mechanism for fusion reactor vacuum vessel assembly
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/ed117a08d67647029b42965230ff0768
work_keys_str_mv	AT changyangli designandmultiobjectiveoptimizationofadexterousmobileparallelmechanismforfusionreactorvacuumvesselassembly AT huapengwu designandmultiobjectiveoptimizationofadexterousmobileparallelmechanismforfusionreactorvacuumvesselassembly AT harrieskelinen designandmultiobjectiveoptimizationofadexterousmobileparallelmechanismforfusionreactorvacuumvesselassembly
_version_	1718416127698141184

Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly

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