E-Thesis 98 views 46 downloads
Advanced Design of Sports Wheelchairs / JOSEPH O'SULLIVAN
Swansea University Author: JOSEPH O'SULLIVAN
DOI (Published version): 10.23889/SUThesis.67595
Abstract
The aim of this project is to design the best possible sports wheelchair for tennis for use in competition. Initial market research was carried out on existing prod-ucts from both the partner company, RMA Sport and competitor companies. The market research looked at both consumer sports wheelchairs...
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Swansea University, Wales, UK
2024
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Institution: | Swansea University |
Degree level: | Doctoral |
Degree name: | EngD |
Supervisor: | Harrison, W.; Bezidos, N.; and Pitt, J |
URI: | https://cronfa.swan.ac.uk/Record/cronfa67595 |
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2024-09-05T12:50:11Z |
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2024-11-25T14:20:27Z |
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2024-09-05T13:57:34.0243189 v2 67595 2024-09-05 Advanced Design of Sports Wheelchairs 385f35fc92b5c8297c363d3c77938344 JOSEPH O'SULLIVAN JOSEPH O'SULLIVAN true false 2024-09-05 The aim of this project is to design the best possible sports wheelchair for tennis for use in competition. Initial market research was carried out on existing prod-ucts from both the partner company, RMA Sport and competitor companies. The market research looked at both consumer sports wheelchairs and elite bespoke tennis wheelchairs, used by world-class athletes such as St´ephane Houdet. The comparison particularly focused on key characteristics such as weight, materials used and manufacturing methods. Optimisation techniques used in other similar engineering applications were also investigated. A product design specification (PDS) was developed based on the background research, with key design criteria for the performance, user requirements, compatibility with other components, manufacturing requirements and environmental considerations.Practical testing was carried out on an existing product to measure loads during range of load cases. This was done by applying strain gauges in key locations on the chair paired with camera footage to identify which movements have the largest effect on the wheelchair. Following this, two design optimisation approaches were applied. The first looked at optimising the current design by using computational optimisation algorithms to minimize weight whilst maintaining structural integrity for all load cases. This was done initially by modifying tube dimensions in a low-fidelity finite element model, before being extended to setting both tube dimensions and chair geometry as design variables. Three different methods were used to identify the best solution: Design of Experiments (DOE), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). This resulted in a weight reduction of almost 450g when compared to the original design.The second design optimisation approach was aimed and developing a more be-spoke product for elite athletes, utilising carbon-fibre tubes with additively manufactured connectors. Topology optimisation was used to minimise the weight of these connectors whilst making joints that were strong and stiff. 48% reduction in mass of printed connectors. The final design was manufactured and assembled to prove the concept. The PDS was used to compare the two proposed designs with the original wheelchair design to ensure they met the desired specifications. E-Thesis Swansea University, Wales, UK Design optimisation, Wheelchair sports, Topology optimisation and Additive manufacture. 15 5 2024 2024-05-15 10.23889/SUThesis.67595 A selection of content is redacted or is partially redacted from this thesis to protect sensitive and personal information. COLLEGE NANME COLLEGE CODE Swansea University Harrison, W.; Bezidos, N.; and Pitt, J Doctoral EngD M2A, ROMA Medical M2A, ROMA Medical 2024-09-05T13:57:34.0243189 2024-09-05T13:38:10.1764640 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering JOSEPH O'SULLIVAN 1 67595__31269__8d9f03231e8c42ac8b480cb0f1c370a2.pdf 2024_O'Sullivan_J.final.67595.pdf 2024-09-05T13:49:22.8418210 Output 45103395 application/pdf E-Thesis – open access true Copyright: The Author, Joseph O'Sullivan, 2024 true eng |
title |
Advanced Design of Sports Wheelchairs |
spellingShingle |
Advanced Design of Sports Wheelchairs JOSEPH O'SULLIVAN |
title_short |
Advanced Design of Sports Wheelchairs |
title_full |
Advanced Design of Sports Wheelchairs |
title_fullStr |
Advanced Design of Sports Wheelchairs |
title_full_unstemmed |
Advanced Design of Sports Wheelchairs |
title_sort |
Advanced Design of Sports Wheelchairs |
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385f35fc92b5c8297c363d3c77938344 |
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385f35fc92b5c8297c363d3c77938344_***_JOSEPH O'SULLIVAN |
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JOSEPH O'SULLIVAN |
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JOSEPH O'SULLIVAN |
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2024 |
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Swansea University |
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10.23889/SUThesis.67595 |
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Faculty of Science and Engineering |
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The aim of this project is to design the best possible sports wheelchair for tennis for use in competition. Initial market research was carried out on existing prod-ucts from both the partner company, RMA Sport and competitor companies. The market research looked at both consumer sports wheelchairs and elite bespoke tennis wheelchairs, used by world-class athletes such as St´ephane Houdet. The comparison particularly focused on key characteristics such as weight, materials used and manufacturing methods. Optimisation techniques used in other similar engineering applications were also investigated. A product design specification (PDS) was developed based on the background research, with key design criteria for the performance, user requirements, compatibility with other components, manufacturing requirements and environmental considerations.Practical testing was carried out on an existing product to measure loads during range of load cases. This was done by applying strain gauges in key locations on the chair paired with camera footage to identify which movements have the largest effect on the wheelchair. Following this, two design optimisation approaches were applied. The first looked at optimising the current design by using computational optimisation algorithms to minimize weight whilst maintaining structural integrity for all load cases. This was done initially by modifying tube dimensions in a low-fidelity finite element model, before being extended to setting both tube dimensions and chair geometry as design variables. Three different methods were used to identify the best solution: Design of Experiments (DOE), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). This resulted in a weight reduction of almost 450g when compared to the original design.The second design optimisation approach was aimed and developing a more be-spoke product for elite athletes, utilising carbon-fibre tubes with additively manufactured connectors. Topology optimisation was used to minimise the weight of these connectors whilst making joints that were strong and stiff. 48% reduction in mass of printed connectors. The final design was manufactured and assembled to prove the concept. The PDS was used to compare the two proposed designs with the original wheelchair design to ensure they met the desired specifications. |
published_date |
2024-05-15T08:28:23Z |
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11.047609 |