Identification of optimum working conditions in hydroelectric power plants for cavitation
Özet
Turbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined.
Anahtar Kelimeler
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/3803Resmi atıflarda kullanılan kalıcı adresİndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.Atıflar
- Scopus
- 11
- WoS
- 10
- OpenAlex
- 13
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Kahraman, Gökhan | |
| dc.contributor.author | Yücel, Halit Lütfi | |
| dc.contributor.author | Taşgin, Yahya | |
| dc.date.accessioned | 2026-10-28T14:57:08.855179717Z | |
| dc.date.available | 2026-10-28T14:57:08.855179717Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Turbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined. | |
| dc.identifier.doi | 10.1016/j.engfailanal.2018.09.037 | |
| dc.identifier.eissn | 1873-1961 | |
| dc.identifier.endpage | 174 | |
| dc.identifier.issn | 1350-6307 | |
| dc.identifier.scopus | 2-s2.0-85054814072 | |
| dc.identifier.startpage | 168 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/munzur/3803 | |
| dc.identifier.volume | 96 | |
| dc.identifier.wos | WOS:000455849800014 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Engineering Failure Analysis | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Cavitation | |
| dc.subject | Hydroelectric power plant | |
| dc.subject | Turbine wheel | |
| dc.subject.classification | Engineering, Mechanical | |
| dc.subject.classification | Materials Science, Characterization & Testing | |
| dc.subject.classification | Engineering | |
| dc.subject.classification | Materials Science | |
| dc.subject.other | Cavitation | |
| dc.subject.other | Hydroelectric power | |
| dc.subject.other | Turbines | |
| dc.subject.other | Vibrations (mechanical) | |
| dc.subject.other | Wheels | |
| dc.subject.other | Cavitation intensity | |
| dc.subject.other | Exposed to | |
| dc.subject.other | Machine equipment | |
| dc.subject.other | Operating condition | |
| dc.subject.other | Operation time | |
| dc.subject.other | Optimum working conditions | |
| dc.subject.other | Safe operating conditions | |
| dc.subject.other | Turbine wheel | |
| dc.subject.other | Hydroelectric power plants | |
| dc.title | Identification of optimum working conditions in hydroelectric power plants for cavitation | |
| dc.type | Article | |
| rdl.citation.openalex | 13 | |
| rdl.citation.scopus | 11 | |
| rdl.citation.wos | 10 | |
| rdl.oa.status | green | |
| rdl.oa.status | preprint | |
| rdl.oa.url | https://hdl.handle.net/11508/61894 | |
| rdl.scopus.quartile | Q1 | |
| rdl.sdg | SDG07 | |
| rdl.sdg | SDG09 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |


