LES and DNS of Melt Flow and Heat Transfer in Czochralski Crystal Growth

A. Raufeisen (), M. Breuer (), V. Kumar, T. Botsch and F. Durst
Additional contact information
A. Raufeisen: University of Applied Sciences Nuremberg, Process Engineering Department (VT)
M. Breuer: University of Erlangen-Nuremberg, Institute of Fluid Mechanics (LSTM)
V. Kumar: University of Erlangen-Nuremberg, Institute of Fluid Mechanics (LSTM)
T. Botsch: University of Applied Sciences Nuremberg, Process Engineering Department (VT)
F. Durst: University of Erlangen-Nuremberg, Institute of Fluid Mechanics (LSTM)

A chapter in High Performance Computing in Science and Engineering ’06, 2007, pp 279-291 from Springer

Abstract: Abstract In the present work, computations of flow and heat transfer in an idealized cylindrical Czochralski configuration are conducted using Large Eddy Simulation (LES) with the flow solver FASTEST-3D developed at LSTM Erlangen. The results match well with DNS data from the literature. However, detailed data for analysis of turbulent quantities are not available. Therefore, DNS computations are conducted using the code LɛSOCC, employing explicit time marching. Preliminary simulations show the high efficiency of the solver on the NEC SX-8. Furthermore, from a study of the velocity profiles at the wall, the resolution requirements had to be corrected such that the computational grid will now consist of approximately 8 × 106 control volumes. The present run of the DNS took more than 540 hours of walltime on 8 processors. With the results, the LES computations will be thoroughly validated so that appropriate models and parameters can be chosen for efficient and accurate simulations of practically relevant cases.

Keywords: Large Eddy Simulation; Direct Numerical Simulation; Marangoni Convection; Direct Numerical Simulation Data; Large Eddy Simulation Method (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-36183-1_20

Ordering information: This item can be ordered from
http://www.springer.com/9783540361831

DOI: 10.1007/978-3-540-36183-1_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().