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http://elar.urfu.ru/handle/10995/132456
Название: | Experiment planning subsystem for intellectual system of improvement of pressure processing processes |
Авторы: | Byvaltsev, S. V. |
Дата публикации: | 2021 |
Издатель: | American Institute of Physics Inc. |
Библиографическое описание: | Byvaltsev, SV 2021, Experiment planning subsystem for intellectual system of improvement of pressure processing processes. в IV Kovalev, AA Stupina & AA Voroshilova (ред.), Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021., 070017, AIP Conference Proceedings, Том. 2402, American Institute of Physics Inc., 3rd International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021, Krasnoyarsk, Российская Федерация, 29/04/2021. https://doi.org/10.1063/5.0071581 Byvaltsev, S. V. (2021). Experiment planning subsystem for intellectual system of improvement of pressure processing processes. в I. V. Kovalev, A. A. Stupina, & A. A. Voroshilova (Ред.), Proceedings of the III International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021 [070017] (AIP Conference Proceedings; Том 2402). American Institute of Physics Inc.. https://doi.org/10.1063/5.0071581 |
Аннотация: | The approaches proposed by statistical engineering to solving the problem of obtaining powder products with specified properties are considered. The planning of experimental investigations of different powder mixtures with varying parameters of technological processes is performed. The aim is to reduce the number of conducted experiments providing required accuracy of obtained models. A selection between linear additive, nonlinear and linearized models is made. An iterative procedure for obtaining models that consider mutual influence of powder mixture composition and technological process parameters is considered. © 2021 Author(s). |
Ключевые слова: | ANALYTICAL SOLUTIONS CRYSTAL GROWTH EVOLUTION OF PARTICULATE ASSEMBLAGES MATHEMATICAL MODELING NUCLEATION |
URI: | http://elar.urfu.ru/handle/10995/132456 |
Условия доступа: | info:eu-repo/semantics/openAccess cc-by |
Конференция/семинар: | 29 April 2021 through 30 April 2021 |
Дата конференции/семинара: | 3rd International Conference on Advanced Technologies in Materials Science, Mechanical and Automation Engineering, MIP: Engineering-III 2021 |
Идентификатор SCOPUS: | 85120492511 |
Идентификатор WOS: | 000894366900001 |
Идентификатор PURE: | e731fb3e-4b23-4d13-8445-5a3ec6b5ac0d 29069945 |
ISSN: | 0094-243X |
ISBN: | 978-073544156-9 |
DOI: | 10.1063/5.0071581 |
Сведения о поддержке: | Russian Science Foundation, RSF, (22-79-00141) This study was supported by the Russian Science Foundation (project number 22-79-00141). |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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2-s2.0-85120492511.pdf | 470,2 kB | Adobe PDF | Просмотреть/Открыть |
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