Water Droplet Flow Paths and Droplet Deposition in Low Pressure Steam Turbines

J. Starzmann (), M. V. Casey and J. F. Mayer
Additional contact information
J. Starzmann: Universität Stuttgart, ITSM – Institute of Thermal Turbomachinery and Machinery Laboratory
M. V. Casey: Universität Stuttgart, ITSM – Institute of Thermal Turbomachinery and Machinery Laboratory
J. F. Mayer: Universität Stuttgart, ITSM – Institute of Thermal Turbomachinery and Machinery Laboratory

A chapter in High Performance Computing in Science and Engineering ‘12, 2013, pp 351-365 from Springer

Abstract: Abstract The complex three-dimensional two-phase flow in a low pressure steam turbine is investigated with comprehensive numerical flow simulations. In addition to the condensation process, which already takes place in the last stages of steam turbines, the numerical flow model is enhanced to consider the drag forces between the droplets and the vapour phase. The present paper shows the differences in the flow path of the phases and investigates the effect of an increasing droplet diameter. For the flow simulations a performance cluster is used because of the high effort for such multi-momentum two-phase flow calculations. In steam turbines the deposition of small water droplets on the stator blades or on parts of the casing is responsible for the formation of large coarse water droplets and these may cause additional dissipation as well as damage due to blade erosion. A method is presented that uses detailed CFD data to predict droplet deposition on turbine stator blades. This simulation method to detect regions of droplet deposition can help to improve the design of water removal devices.

Keywords: Droplet Size; Steam Turbine; Droplet Deposition; Stator Blade; Deposit Mass Flow (search for similar items in EconPapers)
Date: 2013
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:978-3-642-33374-3_26

Ordering information: This item can be ordered from
http://www.springer.com/9783642333743

DOI: 10.1007/978-3-642-33374-3_26

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 ().