Abstract
Airframe assembly is mainly based on the riveting of large-scale aircraft parts, and manufacturers are highly concerned about acceleration of this process. Simulation of riveting emerges the necessity for contact problem solving in order to prevent the penetration of parts under the loads from fastening elements (fasteners). Specialized methodology is elaborated that allows reducing the dimension and transforming the original problem into quadratic programming one with input data provided by disposition of fasteners and initial gap field between considered parts.
While optimization of a manufacturing process the detailed analysis of the assembly has to be done. This leads to series of similar computations that differ only in input data sets provided by the variations of gap and fastener locations. Thus, task parallelism can be exploited, and the problem can be efficiently solved by means of supercomputer.
The paper is devoted to the cluster version of software complex developed for aircraft assembly simulation in the terms of the joint project between Peter the Great St.Petersburg Polytechnic University and Airbus SAS. The main features of the complex are described, and application cases are considered.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Due to confidentiality reasons, the model details could not be provided in the paper.
References
Liu, S.C., Hu, S.J.: Variation simulation for deformable sheet metal assemblies using finite element methods. ASME J. Manuf. Sci. Eng. 119(3), 368–374 (1997)
Dahlström, S.: Variation simulation of sheet metal assemblies for geometrical quality: parameter modeling and analysis. Ph.D. thesis. Chalmers University of Technology, Göteborg, Sweden (2005)
Marguet, B., Chevassus, N., Falgarone, H., Bourdet, P.: Geometrical behavior laws for computer aided tolerancing: AnaTole a tool for structural assembly tolerance analysis. In: 8th CIRP Seminar on Computer-Aided Tolerancing, Charlotte, pp. 124–131 (2003)
Warmefjord, K., Söderberg, R., Lindau, B., Lindkvist, L., Lorin, S.: Joining in nonrigid variation simulation. Computer-aided Technologies, Intech (2016)
Wang, H., Ding, X.: Identifying sources of variation in horizontal stabilizer assembly using finite element analysis and principal component analysis. Assembly Autom. 13(1), 86–96 (2013)
Dimensional Control System (DCS) Homepage. http://www.3dcs.com. Accessed 21 May 2017
Dahlström, S., Lindkvist, L.: Variation simulation of sheet metal assemblies using the method of influence coefficients with contact modeling. J. Manuf. Sci. Eng. 129(3), 615–622 (2007)
Petukhova, M., Lupuleac, S., Shinder, Y., Smirnov, A., Yakunin, S., Bretagnol, B.: Numerical approach for airframe assembly simulation. J. Math. Ind. 4(8), 1–12 (2014)
Lindau, B., Lorin, S., Lindkvist, L., Söderberg, R.: Efficient contact modeling in nonrigid variation simulation. J. Comput. Inf. Sci. Eng. 16(1), 011002 (2016)
Yang, D., Qu, W., Ke, Y.: Evaluation of residual clearance after pre-joining and pre-joining scheme optimization in aircraft panel assembly. Assembly Autom. 36(4), 376–387 (2016)
Wriggers, P.: Computational Contact Mechanics, 2nd edn. Springer, Berlin (2006). https://doi.org/10.1007/978-3-211-77298-0
Pedersen, P.: A direct analysis of elastic contact using super elements. Comput. Mech. 37(3), 221–231 (2006)
Lupuleac, S., Petukhova, M., Shinder, J., Smirnov, A., et al.: Software complex for simulation of riveting process: concept and applications. In: SAE Technical Papers, 2016-01-2090 (2016)
Lupuleac, S., Zaitseva, N., Petukhova, M., Shinder, J., et al.: Combination of experimental and computational approaches to A320 wing assembly. In: SAE Technical Papers, 2017-01-2085 (2017)
Goldfarb, D., Idnani, A.: A numerically stable dual method for solving strictly quadratic programs. Math. Program. 27(1), 1–33 (1983)
Powell, M.J.D.: On the quadratic programming algorithm of Goldfarb and Idnani. In: Cottle, R.W. (ed.) Mathematical Programming Essays in Honor of George B. Dantzig, Part II, Mathematical Programming Studies Book Series, vol. 25, pp. 46–61. Springer, Heidelberg (1985)
Stefanova, M., Yakunin, S., Petukhova, M., Lupuleac, S., Kokkolaras, M.: An interior-point method-based solver for simulation of aircraft parts riveting. Eng. Optim. 50(5), 781–796 (2017)
Bertsekas, D.: Projected Newton methods for optimization problems with simple constraints. SIAM J. Control Optim. 20(2), 221–246 (1982)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Pogarskaia, T., Churilova, M., Petukhova, M., Petukhov, E. (2019). Simulation and Optimization of Aircraft Assembly Process Using Supercomputer Technologies. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2018. Communications in Computer and Information Science, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-05807-4_31
Download citation
DOI: https://doi.org/10.1007/978-3-030-05807-4_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05806-7
Online ISBN: 978-3-030-05807-4
eBook Packages: Computer ScienceComputer Science (R0)