Analytical identification of the unmanned aerial vehicles' surfaces for the implementation at a 3D printer

Authors

  • Tatyana Sheyko A. N. Podgorny Institute for Mechanical Engineering Problems of NAS of Ukraine Pozharskoho str., 2/10, Kharkiv, Ukraine, 61046, Ukraine https://orcid.org/0000-0003-3295-5998
  • Kirill Maksimenko-Sheyko A. N. Podgorny Institute for Mechanical Engineering Problems of NAS of Ukraine Pozharskoho str., 2/10, Kharkiv, Ukraine, 61046 V. N. Karazin Kharkiv National University Svobody sq., 4, Kharkiv, Ukraine, 61022, Ukraine https://orcid.org/0000-0002-7064-2442
  • Vladimir Sirenko Yuzhnoye State Design Office Kryvoriz’ka str., 3, Dnipro, Ukraine, 49008, Ukraine
  • Anna Morozova Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0002-7082-4115
  • Roksana Petrova Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0001-5886-8943

DOI:

https://doi.org/10.15587/1729-4061.2019.155548

Keywords:

drone, R-functions, 3D printer, standard primitive, blending on a frame

Abstract

Based on the R-functions theory, new approaches to analytical identification of drone surfaces for realization of 3D printing technology have been developed.

The R-functions theory allows one to describe geometric objects of a complex shape with a single analytical expression, that is, obtain a mathematical model of the object in a form of an equation. To derive such equations, we used both the well-known standard primitive (sphere, ellipsoid, cylinder, cone, pyramid, etc.) procedure and a new approach, blending on a frame, which enables derivation of multiparameter equations with specified properties. Multiparameter equations of surfaces of drones of various types and purposes have been derived and visualized. Adequacy of the results to the designed objects was confirmed by visualization, both in conditions of operation of the RFPreview program and by realization on a 3D printer. The use of literal parameters when specifying geometric information in an analytical form makes it possible to promptly change size and shape of the designed objects which helps reduce time required to build computational models. The proposed method can reduce labor input in operation of CAD systems by months in cases when it is necessary to view a large number of design variants in a search for an optimal solution. Having the object equation, one can easily obtain equation of any of its sections which is useful for numerical calculations, namely, when building computational meshes.

This can have a great effect on reducing complexity in construction of computational models for determining aero-gas-dynamic and strength characteristics. Characterization is also often associated with the need to account for changes in the aircraft shape. This leads to the fact that establishment of aerodynamic characteristics just because of the need to build a large number of computational models to account for this factor increases work duration by months. When specifying parameters, change of the rated operating conditions is made almost instantly.

Author Biographies

Tatyana Sheyko, A. N. Podgorny Institute for Mechanical Engineering Problems of NAS of Ukraine Pozharskoho str., 2/10, Kharkiv, Ukraine, 61046

Doctor of Technical Sciences, Professor

Department of Mathematical Modeling and Optimal Design

Kirill Maksimenko-Sheyko, A. N. Podgorny Institute for Mechanical Engineering Problems of NAS of Ukraine Pozharskoho str., 2/10, Kharkiv, Ukraine, 61046 V. N. Karazin Kharkiv National University Svobody sq., 4, Kharkiv, Ukraine, 61022

Doctor of Technical Sciences, Senior Researcher

Professor

Department of Information Technology in Physics and Energy Systems

Vladimir Sirenko, Yuzhnoye State Design Office Kryvoriz’ka str., 3, Dnipro, Ukraine, 49008

PhD

Deputy Chief Designer for System Design of Missiles and Missile Systems – Head of the theoretical design complex for design and calculations in terms of ballistics, aerodynamics, heat and mass transfer, strength

Anna Morozova, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Senior Lecturer

Department of Systems Engineering

Roksana Petrova, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD

Department of Economic Cybernetics and Management of Economic Security

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Published

2019-02-04

How to Cite

Sheyko, T., Maksimenko-Sheyko, K., Sirenko, V., Morozova, A., & Petrova, R. (2019). Analytical identification of the unmanned aerial vehicles’ surfaces for the implementation at a 3D printer. Eastern-European Journal of Enterprise Technologies, 1(2), 48–56. https://doi.org/10.15587/1729-4061.2019.155548

Issue

Vol. 1 No. 2 (2019): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2019 Tatyana Sheyko, Kirill Maksimenko-Sheyko, Vladimir Sirenko, Anna Morozova, Roksana Petrova

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