UNIVERSAL CORRELATIONS FOR PREDICTING COMPLETE PUMP PERFORMANCE CHARACTERISTICS
Abstract
The aim of this paper is to introduce a systematic approach for the prediction of pump performance characteristics of different specific speeds when the experimental data are not available. To accomplish this task, a set of equations representing the best fits of the available experimental data is developed. The equations provide a data source useful in the design, simulation and checking of the pumps. The correlations obtained should avoid carrying out complex experimental programs in a test loop. Numerical results indicated that the proposed method favorably predicted the nuclear-grade coolant pump performance at minimal cost. Application of the method has demonstrated its viability as a tool of obtaining pump data useful to light water reactor safety analysis codes.
How to Cite
LAHSSUNY, Yunis; JĘDRAL, Waldemar.
UNIVERSAL CORRELATIONS FOR PREDICTING COMPLETE PUMP PERFORMANCE CHARACTERISTICS.
Journal of Power Technologies, [S.l.], v. 90, mar. 2011.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/147>. Date accessed: 21 nov. 2024.
Issue
Section
Interdisciplinary
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
