2020
DOI: 10.1088/1757-899x/934/1/012021
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Selection and justification of polymer composite wing load-bearing elements design parameters with material anisotropy and airload

Abstract: The rapidly developing aviation industry is looking for new design solutions in the field of designing modern passenger airliners. To ensure reliability and increase the service life of developed products can help polymer composite materials, which are already successfully used in the construction of a number of aircraft. This work is devoted to the urgent task of determining and optimizing the structural parameters of the carbon fiber wing load-bearing elements, taking into account rational reinforcement sche… Show more

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Cited by 4 publications
(2 citation statements)
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“…The initial values of the thickness of the loadbearing elements and the wing skin were given in the same way for all materials according to Table 2. When choosing the optimal thickness, the wing deflection limit was taken at 5% of wingspans [5]. In the first step of optimization of the wing design elements, 400 variants for each material were considered.…”
Section: Modeling and Simulation Calculationmentioning
confidence: 99%
“…The initial values of the thickness of the loadbearing elements and the wing skin were given in the same way for all materials according to Table 2. When choosing the optimal thickness, the wing deflection limit was taken at 5% of wingspans [5]. In the first step of optimization of the wing design elements, 400 variants for each material were considered.…”
Section: Modeling and Simulation Calculationmentioning
confidence: 99%
“…The applied composite materials [5] make it possible to further optimize the design due to the anisotropy of properties and the selection of layout schemes [6]. However, fundamentally new design solutions, bioinspired structures based on natural structures [7], became possible only with the development of manufacturing technologies in the field of additive manufacturing and 3D printing [8][9][10]. Methods of mathematical modeling [11], interdisciplinary design [12], and topological optimization [13,14].…”
Section: Introductionmentioning
confidence: 99%