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

Petrova, R.; Sheyko, T.; Maksymenko-Sheyko, K.; Sirenko, V.; Morozova, A.

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

dc.contributor.author	Petrova, R.
dc.contributor.author	Sheyko, T.
dc.contributor.author	Maksymenko-Sheyko, K.
dc.contributor.author	Sirenko, V.
dc.contributor.author	Morozova, A.
dc.date.accessioned	2019-10-22T09:31:21Z
dc.date.available	2019-10-22T09:31:21Z
dc.date.issued	2019
dc.description.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.	uk_UA
dc.identifier.citation	Analytical identification of the unmanned aerial vehicles' surfaces for the implementation at a 3D printer / T. Sheyko, K. Maksymenko-Sheyko, V. Sirenko, A. Morozova, R. Petrova // Східно-Європейський Журнал передових технологій. – Харків: PC «TECHNOLOGY CENTER» – 2019, Вип. 1, №2 (97) – C. 48-56.	uk_UA
dc.identifier.issn	1729-3774
dc.identifier.issn	1729-4061
dc.identifier.issn	DOI: 10.15587/1729-4061.2019.155548
dc.identifier.uri	http://openarchive.nure.ua/handle/document/9987
dc.language.iso	en	uk_UA
dc.publisher	PC «TECHNOLOGY CENTER»	uk_UA
dc.subject	drone	uk_UA
dc.subject	R-functions	uk_UA
dc.subject	3D printer	uk_UA
dc.subject	standard primitive	uk_UA
dc.subject	blending on a frame	uk_UA
dc.title	Analytical identification of the unmanned aerial vehicles' surfaces for the implementation at a 3D printer	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication