Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Igor N. Egorov"'
Publikováno v:
Известия высших учебных заведений. Поволжский регион: Физико-математические науки, Iss 1 (2023)
Background. In recent years, the complexity of the applied problems of parametric optimization has increased significantly. Since computational possibilities are finite, it is necessary to look for ways to increase the efficiency of the optimization
Externí odkaz:
https://doaj.org/article/950a3cde075e4d3681c60d9090a427b9
Autor:
Grigorii M. Popov, Evgenii S. Goriachkin, Oleg V. Baturin, Anastasia I. Korneeva, Igor N. Egorov, Tatyana O. Krivonogova
Publikováno v:
2021 International Scientific and Technical Engine Conference (EC).
Autor:
Igor N. Egorov, Min Fan, Nirupam Chakraborti, Carl C. Koch, Carlo Poloni, Justin Schwartz, George S. Dulikravich, Rajesh Jha, Marcelo J. Colaço
A combined experimental–computational methodology for accelerated design of AlNiCo-type permanent magnetic alloys is presented with the objective of simultaneously extremizing several magnetic properties. Chemical concentrations of eight alloying e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aec4a9623f68927530f050e8c1c8321
https://hdl.handle.net/11368/2891539
https://hdl.handle.net/11368/2891539
Autor:
George S. Dulikravich, Nirupam Chakraborti, Rajesh Jha, Carlo Poloni, Carl C. Koch, Igor N. Egorov, Justin Schwartz, Marcelo J. Colaço, Min Fan
A multi-dimensional random number generation algorithm was used to distribute chemical concentrations of each of the alloying elements in the candidate alloys as uniformly as possible while maintaining the prescribed bounds on the minimum and maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ac01c3cb3a58e81e36f929588f926a9
http://hdl.handle.net/11368/2872858
http://hdl.handle.net/11368/2872858
Publikováno v:
Inverse Problems in Science and Engineering. 15:47-59
This article demonstrates the main capabilities of IOSO (Indirect Optimization based on Self-organization) technology algorithms, tools, and software, which can be used for the optimization of complex systems and objects. IOSO algorithms have higher
Publikováno v:
Materials and Manufacturing Processes. 20:569-590
We have adapted an advanced semistochastic evolutionary algorithm for constrained multiobjective optimization and combined it with experimental testing and verification to determine optimum concentrations of alloying elements in heat-resistant austen
Autor:
Thomas J. Martin, George S. Dulikravich, Igor N. Egorov-Yegorov, Marcelo J. Colaço, Seungsoo Lee, Brian H. Dennis
Publikováno v:
Materials and Manufacturing Processes. 19:695-718
When growing large single crystals from a melt, it is desirable to minimize thermally induced convection effects so that solidification is achieved predominantly by thermal conduction. It is expected that under such conditions any impurities that ori
Publikováno v:
International Journal of Aeroacoustics. 3:271-287
The integrated aircraft-propulsion system control is considered from the point of view of the probability of meeting stringent market takeoff noise requirements to supersonic business jet (SSBJ). The probability of meeting requirements to the SSBJ cu
Publikováno v:
Aircraft Engineering and Aerospace Technology. 69:518-526
Discusses a new approach to solving optimal designing and control problems in aircraft gas‐turbine engine components. This approach is a combination of optimal designing problems with optimal control problems, allowing the formation of a single pro
Publikováno v:
III European Conference on Computational Mechanics ISBN: 9781402049941
Metallic glass is basically an alloy whose metallic species are “frozen” in amorphous glassy state rather than forming a standard crystalline structure. Metallic glasses have no grain boundaries and no dislocations and stacking faults. They are s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a246b49b761c95c956a624f08a3354d6
https://doi.org/10.1007/1-4020-5370-3_413
https://doi.org/10.1007/1-4020-5370-3_413