Açık Akademik Arşiv Sistemi

Prediction of centrifugal slurry pump head reduction: An artificial neural networks approach.

Show simple item record

dc.contributor.authors Engin, T; Kurt, A;
dc.date.accessioned 2020-02-26T08:46:09Z
dc.date.available 2020-02-26T08:46:09Z
dc.date.issued 2003
dc.identifier.citation Engin, T; Kurt, A; (2003). Prediction of centrifugal slurry pump head reduction: An artificial neural networks approach.. JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 125, 202-199
dc.identifier.issn 0098-2202
dc.identifier.uri https://doi.org/10.1115/1.1523062
dc.identifier.uri https://hdl.handle.net/20.500.12619/49924
dc.description.abstract The feasibility of using artificial neural networks (ANN) in the prediction of head reduction of centrifugal pumps handling slurries is examined. An ANN model is proposed and compared with the empirical correlation given by the present authors earlier The comparison showed that the ANN could successfully be used for the prediction of head reductions of centrifugal slurry pumps. The mean deviation between predicted and experimental values is 5.86% which is reasonable for slurry handling processes.
dc.language English
dc.publisher ASME-AMER SOC MECHANICAL ENG
dc.subject Engineering
dc.title Prediction of centrifugal slurry pump head reduction: An artificial neural networks approach.
dc.type Article
dc.identifier.volume 125
dc.identifier.startpage 199
dc.identifier.endpage 202
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü
dc.contributor.saüauthor Engin, Tahsin
dc.contributor.saüauthor Kurt, Ali Vasfi
dc.relation.journal JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME
dc.identifier.wos WOS:000180789800025
dc.identifier.doi 10.1115/1.1523062
dc.contributor.author Engin, Tahsin
dc.contributor.author Kurt, Ali Vasfi


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record