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KPI Science News
ISSN 2617-5509 · e‑ISSN 2663-7472 Open Access · CC BY 4.0
Vol. · Issue 2 · 2021 Aug 31, 2021 article

GENERATIVE DESIGN OF A FRAME TYPE CONSTRUCTION

IM
Ihor V. Mastenko Corresponding Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Ukraine
NS
Nataliia V. Stelmakh Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Ukraine
PublishedAug 31, 2021
KPISN 2 VOL · 2
VOL · ISS 2 · 2021 View issue

Abstract

Background. In recent years, there has been a rapid development of the domestic military industry. Reducing the mass and increasing the specific strength of military products used in the field – the most pressing challenges facing engineers and scientists today. The rapid development of adaptive production has significantly expanded the possibilities of methods of topological optimization in the design of new products or improvement of existing design and technological solutions in order to reduce weight. Objective. The purpose of the paper is to improve the efficiency of designing the technology of manufacturing a frame type construction based on the method of topological optimization, which will reduce the weight of the product, while maintaining all the specified functional parameters. Methods. The paper presents an analysis of topological optimization methods and offers the interaction of modern ADS, namely CAD, CAM, CAE modules at the stage of design and technological preparation of production, which once again demonstrated its effectiveness in solving problems to reduce product weight. Results. The main tasks of topological optimization were solved for the frame type constructions, such as the minimization of volume and mass under physical constraints, as well as the optimization of other parameters with given geometric constraints. As a result, the proposed method of reducing the weight of the product is improved, which due to rational design and technological measures ensured a 56 % reduction in the weight of the frame type structure from the original and reduced the complexity of the manufacturing process by 22 % due to its effective adaptation to new technological conditions. Conclusions. The application of methods of topological optimization and rational establishment of design and technological constraints on products at the design stage can be very effective in solving problems of reducing the weight of products and optimizing manufacturing processes.

Keywords

References

  1. G.H. Yoon, “Topology optimization method with finite elements based on the k-ε turbulence model,” Comput. Method. Appl. Mechanic. Eng., vol. 361, 2020. doi: 10.1016/j.cma.2019.112784
  2. C. Lundgaard et al., “Revisiting density-based topology optimization for fluid-structure-interaction problems,” Struct. Multidiscipl. Optimizat., vol. 58, pp. 969–995, 2018. doi: 10.1007/s00158-018-1940-4
  3. D.J. Munk et al., “Topology and shape optimization methods using evolutionary algorithms: A review,” Struct. Multidiscipl. Optimizat., vol. 52, no. 3, pp. 613–631, 2015. doi: 10.1007/s00158-015-1261-9
  4. W. Zhang et al., “A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model,” Struct. Multidiscipl. Optimizat., vol. 53, no. 6, pp. 1243–1260, 2015. doi: 10.1007/s00158-015-1372-3
  5. Y.H. Kim et al., “Optimum shape design of rotating shaft by ESO method,” J. Mech. Sci. Technol., vol. 21, no. 7, pp. 1093–1047, 2007. doi: 10.1007/BF03027653
  6. R. Picelli et al., “Evolutionary topology optimization for structural compliance minimization considering design-dependent FSI loads,” Finite Element. Anal. Des., vol. 135, pp. 44–55. doi: 10.1016/j.finel.2017.07.005
  7. M. Muzzupappa et al., “Methodology and tools to support knowledge management in topology optimization,” J. Comput. Inf. Sci. Eng., vol. 10, no. 4, 2010. doi: 10.1115/1.3518386
  8. I. Mastenko and N. Stelmakh “Application of topological optimization in the design of bracket type parts,” in XV Ukrainian scientific-practical conf. of students, graduate students and young scientists “Efficiency of engineering solutions in instrument making", Kyiv, Ukraine, 10-11 December 2019, pp. 147–150.
  9. N. Stelmakh, “Software module for accelerated technological preparation of assembly small-scale production of devices,” Visn. NTUU "KPI". Eng., no. 54, pp. 12–17, 2009.
  10. W. Wójcik et al., “Automated generation of the design solution of the assembly in instrument engineering,” in Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, Wilga, Poland, 1 October 2018. doi: 10.1117/12.2501560
  11. I. Mastenko and N. Stelmakh, “Influence of filling density of 3D printed models on their strength characteristics,” in New directions of development of instrument making. Proc. the 12th Int. Scientific and Technical Conf. of Young Scientists and Students, Minsk, Belarus, 2019, p. 138.
  12. N. Stelmakh et al., “The choice of the optimal technological process on the basis of automated assessment of its technical and economic parameters,” Tech. Sci. Technol., vol. 1, no. 19, pp. 89–97, 2020. doi: 10.25140/2411-5363-2020-1(19)-89-97
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