- Tytuł:
- Parallel computing in automation of decoupled fluid-thermostructural simulation approach
- Autorzy:
-
Glänzel, Janine
Naumann, Andreas
Kumar, Tharun Suresh - Powiązania:
- https://bibliotekanauki.pl/articles/100135.pdf
- Data publikacji:
- 2020
- Wydawca:
- Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
- Tematy:
-
thermal effects
simulation
machine tool
environment
positioning error - Opis:
- Decoupling approach presents a novel solution/alternative to the highly time-consuming fluid-thermal-structural simulation procedures when thermal effects and resultant displacements on machine tools are analyzed. Using high dimensional Characteristic Diagrams (CDs) along with a Clustering Algorithm that immensely reduces the data needed for training, a limited number of CFD simulations can suffice in effectively decoupling fluid and thermal-structural simulations. This approach becomes highly significant when complex geometries or dynamic components are considered. However, there is still scope for improvement in the reduction of time needed to train CDs. Parallel computation can be effectively utilized in decoupling approach in simultaneous execution of (i) CFD simulations and data export, and (ii) Clustering technique involving Genetic Algorithm and Radial Basis Function interpolation, which clusters and optimizes the training data for CDs. Parallelization reduces the entire computation duration from several days to a few hours and thereby, improving the efficiency and ease-of-use of decoupling simulation approach.
- Źródło:
-
Journal of Machine Engineering; 2020, 20, 2; 39-52
1895-7595
2391-8071 - Pojawia się w:
- Journal of Machine Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł