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The Customization of the Geodesic Algorithm for Optimal Fastener Arrangement

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Optimization and Applications (OPTIMA 2023)

Abstract

The search for rational ways to accelerate aircraft assembly seems to be one of the most important tasks of modern aerospace industry. Elimination of the manual operations that follow the temporary fastening can be efficient though the requirements to the final quality are to be preserved. The problem of fastening optimization in its turn is based on the solving of contact problem series that account for mechanical properties of the assembly, dimensions of variation, etc. A special non-iterative geodesic algorithm based on computation of contact forces arising during assembly and geodesic distances between fastener positions is being developed [11] and applied to solving several industrial problems. However, the algorithm includes a set of input parameters that significantly affect the resulting arrangement, i.e. a starting point, weight coefficients for forces and distances, accuracy of the contact problem solution, etc. The further development and application of the algorithm to specific industrial problems requires elaborating of recommendations for the algorithm tuning or choice of parameter values. The present paper discusses the tuning of geodesic algorithm and demonstrates its efficiency on different problems.

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Acknowledgements

The research was supported by Russian Science Foundation (project No. 22-19-00062, https://rscf.ru/en/project/22-19-00062/). The authors are grateful to Maria Churilova and Vasily Lupuleac for their valuable assistance in preparing the publication.

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Correspondence to Margarita Petukhova .

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Shinder, J., Petukhova, M., Lupuleac, S., Pogarskaia, T. (2023). The Customization of the Geodesic Algorithm for Optimal Fastener Arrangement. In: Olenev, N., Evtushenko, Y., Jaćimović, M., Khachay, M., Malkova, V. (eds) Optimization and Applications. OPTIMA 2023. Lecture Notes in Computer Science, vol 14395. Springer, Cham. https://doi.org/10.1007/978-3-031-47859-8_27

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  • DOI: https://doi.org/10.1007/978-3-031-47859-8_27

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