Improving the quality assessment of drilled holes in aircraft structures
This paper presents a case study conducted in an assembly cell specifically designed for the automated drilling of an aeronautical structure. The study shows how techniques approached by the 4.0 industry have the potential to contribute to manufacturing, breaking the limits imposed by the previous s...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2023-09, Vol.128 (3-4), p.1155-1168 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Kawano, Frederico Leoni Franco Toledo, Claudio Fabiano Motta Barbosa, Gustavo Franco Sagawa, Juliana Keiko Shiki, Sidney Bruce |
| description | This paper presents a case study conducted in an assembly cell specifically designed for the automated drilling of an aeronautical structure. The study shows how techniques approached by the 4.0 industry have the potential to contribute to manufacturing, breaking the limits imposed by the previous state-of-the art systems. This paper proposes a method that utilizes a committee of neural networks to calculate an indicator for the final quality of drilled holes. The method analyzes data obtained by monitoring the electric current consumed by the drilling system drive. Considering the tests carried out on a real product, the method presents an accuracy of 95% and has the potential to increase the efficiency of the drilling process, reducing the cycle time by up to 25%, since it can avoid measurement steps and physical inspections which increase the cycle time of the drilling process. The proposal contributes to the literature by presenting an unprecedented application and to the praxis by solving a relevant problem of the aerospace industry. |
| doi_str_mv | 10.1007/s00170-023-11697-3 |
| format | Article |
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| subjects | Aerospace industry Aircraft industry Aircraft structures CAE) and Design Computer-Aided Engineering (CAD Cycle time Drilling Engineering Industrial and Production Engineering Mechanical Engineering Media Management Neural networks Original Article Quality assessment |
| title | Improving the quality assessment of drilled holes in aircraft structures |
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