APPLICATION OF POLYMERIC COMPOSITE MATERIALS FOR CREATION OF ELEMENTS OF TRANSMISSIONS OF AVIATION ENGINEERING (review)

Donetskiy, K.I.; Bystrikova, D.V.; Karavaev, R.Yu.; Timoshkov, P.N.

doi:10.18577/2307-6046-2020-0-3-82-93

Cited by 2 publications

(1 citation statement)

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“…The layout of composite structures used in the aviation industry [15,16] is usually a multilayer material with different fiber orientation angles. Layer thickness is limited by manufacturing constraints, and fiber orientation angles are often limited to discrete sets such as 0°, ± 45°, and 90°.…”

Section: Optimization Modulementioning

confidence: 99%

Design optimization of aircraft structures using virtual proving ground

Gorskii

Gavrilov

Nikitin

et al. 2021

Int J Adv Manuf Technol

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The main challenges of aerospace industry are increased flight range, fuel, and operating costs. There is an urgent need for more efficient design methods and rational use of composite materials in order to reduce the weight of the aircraft and increase strength and reliability. The use of optimization methods, modern software, and supercomputer technologies plays a key role in shortening the product development cycle. It allows many design options to be analyzed and compared in the early design stages. This paper presents an approach to using optimization methods in conjunction with virtual tests. The Virtual Proving Ground (VPG) includes Virtual Testbeds (VTB) such as “Aerodynamics,” “Statics,” and “Dynamics.” VPG provides end-to-end transfer of results and boundary conditions between blocks and systems of automated post-processing of the results. Thus, the results of the aerodynamic tests are transferred as input data for the static strength tests. The results of static and dynamic tests allow to perform multicriterion optimization considering different loading conditions. Automated post-processing allows to track the miscellaneous parameters at every testing stage. The aim of this work is to develop an approach to optimization of a composite structures using VPG. The presented approach was developed and tested on the example of the unmanned aerial vehicle.

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Section: Optimization Modulementioning

confidence: 99%