Výsledky vyhledávání - "F. D. Tarasenko"

Methodology of constructing highly adequate models of additively manufactured materials

Autor: F. D. Tarasenko, L. B. Maslov, E. N. Kovaleva, M. A. Zhmaylo, Barriere Thierry, K. S. Ivanov, A. I. Borovkov

Publikováno v: IOP Conference Series: Materials Science and Engineering. 986:012034

In the this paper there is a description of the methodology of constructing highly adequate models of materials which are produced additively. The paper consists of introduction to the problem, demonstration of each step of the methodology and conclu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97022e85edc4553558e9047ed1496eb3
https://doi.org/10.1088/1757-899x/986/1/012034

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Improving the printing process stability and the geometrical accuracy of the parts manufactured by the additive techniques

Autor: E. N. Kovaleva, M. A. Zhmaylo, A. I. Borovkov, F. D. Tarasenko, K. S. Ivanov, L. B. Maslov

Publikováno v: IOP Conference Series: Materials Science and Engineering. 986:012033

Current research is devoted to the computer-aided engineering application for direct modeling of the additive manufacturing process and detailed analysis of the resulting shape of the formed part. The utilized approach is based on the idea that it is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b71f6a1492e3000dbfc86a3f9fb475e0
https://doi.org/10.1088/1757-899x/986/1/012033

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Basis Functions Comparative Analysis in Consecutive Data Smoothing Algorithms

Autor: Dmitriy Tarkhov, F. D. Tarasenko

Publikováno v: Advances in Neural Networks – ISNN 2016 ISBN: 9783319406626
ISNN

In this paper, we investigate algorithms for constructing experimental data dependence based on sequential processing of the points one by one. Four algorithms are reviewed, comparative analysis for different basis functions, a level of noise and oth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::030c463b13050ef27dd27514414d6ee8
https://doi.org/10.1007/978-3-319-40663-3_55