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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.10047 |
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| _version_ | 1866908364527632384 |
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| author | Fau, Adeline Ghobrial, Mina Seitier, Philippe Lagarrigue, Pierre Galaup, Michel Daidié, Alain Gilles, Patrick |
| author_facet | Fau, Adeline Ghobrial, Mina Seitier, Philippe Lagarrigue, Pierre Galaup, Michel Daidié, Alain Gilles, Patrick |
| contents | Modern production rates and the increasing complexity of mechanical systems require efficient and effective manufacturing and assembly processes. The transition to Industry 4.0, supported by the deployment of innovative tools such as Augmented Reality (AR), equips the industry to tackle future challenges. Among critical processes, the assembly and tightening of bolted joints stand out due to their significant safety and economic implications across various industrial sectors. This study proposes an innovative tightening method designed to enhance the reliability of bolted assembly tightening through the use of Augmented Reality and connected tools. A 6-Degrees-of-Freedom (6-DoF) tracked connected torque wrench assists the operator during tightening, ensuring each screw is tightened to the correct torque. The effectiveness of this method is compared with the conventional tightening method using paper instructions. Participants in the study carried out tightening sequences on two simple parts with multiple screws. The study evaluates the impact of the proposed method on task performance and its acceptability to operators. The tracked connected torque wrench provides considerable assistance to the operators, including wrench control and automatic generation of tightening reports. The results suggest that the AR-based method has the potential to ensure reliable torque tightening of bolted joints. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10047 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enhancing performance in bolt torque tightening using a connected torque wrench and augmented reality Fau, Adeline Ghobrial, Mina Seitier, Philippe Lagarrigue, Pierre Galaup, Michel Daidié, Alain Gilles, Patrick Human-Computer Interaction Classical Physics Modern production rates and the increasing complexity of mechanical systems require efficient and effective manufacturing and assembly processes. The transition to Industry 4.0, supported by the deployment of innovative tools such as Augmented Reality (AR), equips the industry to tackle future challenges. Among critical processes, the assembly and tightening of bolted joints stand out due to their significant safety and economic implications across various industrial sectors. This study proposes an innovative tightening method designed to enhance the reliability of bolted assembly tightening through the use of Augmented Reality and connected tools. A 6-Degrees-of-Freedom (6-DoF) tracked connected torque wrench assists the operator during tightening, ensuring each screw is tightened to the correct torque. The effectiveness of this method is compared with the conventional tightening method using paper instructions. Participants in the study carried out tightening sequences on two simple parts with multiple screws. The study evaluates the impact of the proposed method on task performance and its acceptability to operators. The tracked connected torque wrench provides considerable assistance to the operators, including wrench control and automatic generation of tightening reports. The results suggest that the AR-based method has the potential to ensure reliable torque tightening of bolted joints. |
| title | Enhancing performance in bolt torque tightening using a connected torque wrench and augmented reality |
| topic | Human-Computer Interaction Classical Physics |
| url | https://arxiv.org/abs/2505.10047 |