59991

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Functional-Voxel Method in Problems of Geometric Modeling of Thermal Characteristics of Objects

ISBN/ISSN: 

1613-0073

DOI: 

10.51130/graphicon-2020-2-3-53

Наименование конференции: 

  • 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg)

Наименование источника: 

  • Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg)

Обозначение и номер тома: 

Vol-2744

Город: 

  • Санкт - Петербург

Издательство: 

  • CEUR Workshop Proceedings

Год издания: 

2020

Страницы: 

http://ceur-ws.org/Vol-2744/paper53.pdf
Аннотация
The paper presents an approach developed on the basis of the functional voxel method to the geometric representation of the thermal expansion of objects and temperature stresses in a material when exposed to a surface of a heat source. A discrete geometric law of a single temperature stress in an isotropic heat-conducting body is derived, applicable in the concept of functional voxel modeling. Based on this law, functional-voxel models of thermal stress are developed for a single and distributed application of a heat source. Algorithms of functional-voxel modeling of temperature stress and expansion in the case of distributed thermal loading are presented, which make it possible to construct a loading region of a complex configuration, uniformly form a contour (surface) after material expansion and obtain information about changes in the length (volume) of products. The advantages of the proposed functional-voxel approach to modeling thermal expansion and stress over approaches based on the FEM are substantiated

Библиографическая ссылка: 

Толок А.В., Плаксин А.М. Functional-Voxel Method in Problems of Geometric Modeling of Thermal Characteristics of Objects / Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg). Санкт - Петербург: CEUR Workshop Proceedings, 2020. Vol-2744. С. http://ceur-ws.org/Vol-2744/paper53.pdf.