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https://elib.bsu.by/handle/123456789/340004Полная запись метаданных
| Поле DC | Значение | Язык |
|---|---|---|
| dc.contributor.author | Zhalezka, B. A. | |
| dc.contributor.author | Korolenok, K. S. | |
| dc.contributor.author | Shamardzina, I. A. | |
| dc.date.accessioned | 2026-01-13T10:14:51Z | - |
| dc.date.available | 2026-01-13T10:14:51Z | - |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 285-291. | |
| dc.identifier.isbn | 978-985-881-830-2 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/340004 | - |
| dc.description.abstract | The work is focused on studying methods and models that describe the patterns of design and production of lightweight parts. Additionally, it involves constructing a functional and structural model for the hardware implementation of graphical construction of parts and cells within them. One of the key challenges in manufacturing lightweight parts with a cellular structure is ensuring the required technical and operational properties. To address this issue, it is proposed to utilize the capabilities of engineering stress-strain state analysis of the resulting parts using SolidWorks API methods | |
| dc.description.sponsorship | The work was carried out as part of a research project on GB 21-266 “Marketing support for industrial enterprises of the Republic of Belarus in the context of regional integration and digitalization of the global economy” for 2020-2025. | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.title | The lightweight parts design processes improvement based on modeling structures with cylindrical cells | |
| dc.type | conference paper | |
| Располагается в коллекциях: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science | |
Полный текст документа:
| Файл | Описание | Размер | Формат | |
|---|---|---|---|---|
| 285-291.pdf | 662,75 kB | Adobe PDF | Открыть |
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