TY - GEN
T1 - Innovative Tooling Solutions for Aircraft Assembly
T2 - 32nd International conference on The Digital Transformation in the Graphic Engineering, INGEGRAF 2023
AU - Laraudogoitia, Ignacio
AU - Ojeda, Ibai
AU - Renderos, Mario
AU - Iriondo, Edurne
AU - de Cortázar, Maider García
AU - Girot, Franck
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper presents a case study on the development of reconfigurable and lightweight fixtures for aircraft assembly, which are essential for modernizing and automating tooling fixtures in the aeronautical industry. Our study utilizes generative engineering and other design techniques to optimize performance and meet design objectives. Generative engineering combines parametric and algorithmic design with mathematical optimization, while generative design utilizes algorithmic methods to generate feasible designs based on performance goals, constraints, and design space. To determine the most appropriate optimization tools, we conducted a thorough study of available options and selected the most suitable ones based on available resources. Our newly developed fixtures are flexible and adaptable to various types of aircraft structures, including fuselages and wings, and meet crucial vibration requirements for aircraft assembly operations such as drilling and riveting. The new fixtures are also lightweight and easier to handle, contributing to a reduction in development costs and enhancing production efficiency. This contribution can help to enhance the competitiveness of the Basque aeronautical industry and position it as a key player in the global aviation market. The findings of this study demonstrate the benefits of incorporating generative engineering and novel design techniques into the development of innovative tooling solutions for aircraft assembly.
AB - This paper presents a case study on the development of reconfigurable and lightweight fixtures for aircraft assembly, which are essential for modernizing and automating tooling fixtures in the aeronautical industry. Our study utilizes generative engineering and other design techniques to optimize performance and meet design objectives. Generative engineering combines parametric and algorithmic design with mathematical optimization, while generative design utilizes algorithmic methods to generate feasible designs based on performance goals, constraints, and design space. To determine the most appropriate optimization tools, we conducted a thorough study of available options and selected the most suitable ones based on available resources. Our newly developed fixtures are flexible and adaptable to various types of aircraft structures, including fuselages and wings, and meet crucial vibration requirements for aircraft assembly operations such as drilling and riveting. The new fixtures are also lightweight and easier to handle, contributing to a reduction in development costs and enhancing production efficiency. This contribution can help to enhance the competitiveness of the Basque aeronautical industry and position it as a key player in the global aviation market. The findings of this study demonstrate the benefits of incorporating generative engineering and novel design techniques into the development of innovative tooling solutions for aircraft assembly.
KW - Aircraft assembly
KW - Ecodesign
KW - Generative design
KW - Reconfigurable fixtures
UR - http://www.scopus.com/inward/record.url?scp=85192194126&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-51623-8_62
DO - 10.1007/978-3-031-51623-8_62
M3 - Conference contribution
AN - SCOPUS:85192194126
SN - 9783031516221
T3 - Lecture Notes in Mechanical Engineering
SP - 635
EP - 644
BT - Advances in Design Engineering IV - Proceedings of the XXXII INGEGRAF International Conference
A2 - Manchado del Val, Cristina
A2 - Suffo Pino, Miguel
A2 - Moreno Sánchez, Daniel
A2 - Moreno Nieto, Daniel
A2 - Miralbes Buil, Ramón
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 June 2023 through 23 June 2023
ER -
