To read this content please select one of the options below:

Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process

Sergey Lupuleac (VIM Lab, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia)
Tatiana Pogarskaia (Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia)

Robotic Intelligence and Automation

ISSN: 2754-6969

Article publication date: 8 July 2024

Issue publication date: 18 July 2024

53

Abstract

Purpose

The purpose of the current study is development of effective and fast algorithm for optimization the arrangement of temporary fasteners during aircraft assembly.

Design/methodology/approach

Combinatorial nature, uncertain input data, sensitivity to mechanical properties and geometric tolerances are the specific features of the fastening optimization problem. These characteristics make the problem-solving by standard methods very resource-intensive because the calculation of the objective function requires multiple solution of contact problems. The work provides an extended description of the geodesic algorithm (GA) which is a novel non-iterative optimization approach avoiding multiple objective function calculations.

Findings

The GA makes it possible to optimize the arrangement of temporary fasteners during the different stages of the assembly process. The objective functions for the optimization are number of installed fasteners and quality of contact between joined parts. The mentioned properties of the GA also make it possible to introduce an automatic procedure for optimizing fastener arrangement into everyday practice of aircraft manufacturing.

Practical implications

The algorithm has been applied to optimization of the assembly process in Airbus company.

Originality/value

Performance of the GA is orders of magnitude greater than standard optimization algorithms while maintaining the quality of results. The use of the assembly process specifics is the main limitation of the GA, because it cannot be automatically applied to optimization problems in other areas. High speed of work and quality of the results make it possible to use it for real optimization problems on assembly line in the production of commercial airliners.

Keywords

Acknowledgements

Funding: The research was supported by Russian Science Foundation (project No. 22–19-00062, https://rscf.ru/en/project/22-19-00062).

Statements and declarations: All authors declare that they have no conflicts of interest.

Replication of results: The presented GA was developed in St. Petersburg Polytechnic University within the series of joint projects with Airbus. The source code is implemented in ASRP software (Pogarskaia et al., 2019) which belongs to Airbus and cannot be shared. The authors can provide full access to data on test model (used in Section 5) upon a request.

Citation

Lupuleac, S. and Pogarskaia, T. (2024), "Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process", Robotic Intelligence and Automation, Vol. 44 No. 4, pp. 501-515. https://doi.org/10.1108/RIA-08-2023-0099

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles