Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters
The performance of a Pelton wheel is influenced by the jet created by the nozzle. Therefore, a Computational Fluid Dynamics (CFD) simulation was proposed. In this study, the significant output parameters (outlet velocity, outlet pressure, and tangential force component) and input parameters (differe...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-04-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024050175 |
| _version_ | 1797200823220961280 |
|---|---|
| author | Satish Geeri Aditya Kolakoti Olusegun David Samuel Mohamed Abbas Peter Alenoghena Aigba Habeeb A. Ajimotokan Christopher C. Enweremadu Noureddine Elboughdiri M.A. Mujtaba |
| author_facet | Satish Geeri Aditya Kolakoti Olusegun David Samuel Mohamed Abbas Peter Alenoghena Aigba Habeeb A. Ajimotokan Christopher C. Enweremadu Noureddine Elboughdiri M.A. Mujtaba |
| author_sort | Satish Geeri |
| collection | DOAJ |
| description | The performance of a Pelton wheel is influenced by the jet created by the nozzle. Therefore, a Computational Fluid Dynamics (CFD) simulation was proposed. In this study, the significant output parameters (outlet velocity, outlet pressure, and tangential force component) and input parameters (different pressure and spear locations) were examined. In addition, the influencing parameters and their contributing percentages to the performance of the Pelton wheel were calculated using different optimisation techniques such as Taguchi Design of Experiments (DoE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Grey Relational Analysis (GRA) and Criteria Importance Through Intercriteria Correlation (CRITIC). The effect of input factors on the output response was examined with DoE, and the results show that the inlet pressure had the most significant impact (97.38%, 99.18%, and 97.38%, respectively, for all different spear sites with a 99% confidence level). In terms of preference values, the TOPSIS and GRA results are comparable (best ranks for simulation runs #24 and #25 and least ranks for simulations #2 and #3, respectively). The CRITIC results for the pressure parameter are in good agreement with the Taguchi ANOVA analysis. The last spear location (5 mm after the nozzle outlet), with an inlet pressure of 413685 Pa generated the best result when employing the TOPSIS and GRA techniques. The outlet pressure of the nozzle was found to have a significant impact on the flow pattern of the Pelton Wheel based on the analysis of the CRITIC, Taguchi, and CFD results. |
| first_indexed | 2024-04-24T07:37:46Z |
| format | Article |
| id | doaj.art-cccd9a9b18f645f981f3b8a5eaf7d8ab |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T07:37:46Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-cccd9a9b18f645f981f3b8a5eaf7d8ab2024-04-20T04:17:34ZengElsevierHeliyon2405-84402024-04-01108e28986Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parametersSatish Geeri0Aditya Kolakoti1Olusegun David Samuel2Mohamed Abbas3Peter Alenoghena Aigba4Habeeb A. Ajimotokan5Christopher C. Enweremadu6Noureddine Elboughdiri7M.A. Mujtaba8Department of Mechanical Engineering, Pragati Engineering College, Surampalem, 533437, IndiaDepartment of Mechanical Engineering, Raghu Engineering College, Visakhapatnam, 531162, India; Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, 71800, Nilai, Negeri Sembila, MalaysiaDepartment of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, P.M.B 1221, Delta State, Nigeria; Department of Mechanical Engineering, University of South Africa, Science Campus, Florida, South Africa; Corresponding author. Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, P.M.B 1221, Delta State, Nigeria.Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi ArabiaDepartment of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, P.M.B 1221, Delta State, NigeriaDepartment of Mechanical Engineering, University of Ilorin, Ilorin, NigeriaDepartment of Mechanical Engineering, University of South Africa, Science Campus, Florida, South AfricaChemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, Ha'il, 81441, Saudi Arabia; Chemical Engineering Process Department, National School of Engineers Gabes, University of Gabes, Gabes, 6029, TunisiaDepartment of Mechanical Engineering, University of Engineering and Technology, New Campus Lahore, Lahore, 54890, PakistanThe performance of a Pelton wheel is influenced by the jet created by the nozzle. Therefore, a Computational Fluid Dynamics (CFD) simulation was proposed. In this study, the significant output parameters (outlet velocity, outlet pressure, and tangential force component) and input parameters (different pressure and spear locations) were examined. In addition, the influencing parameters and their contributing percentages to the performance of the Pelton wheel were calculated using different optimisation techniques such as Taguchi Design of Experiments (DoE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Grey Relational Analysis (GRA) and Criteria Importance Through Intercriteria Correlation (CRITIC). The effect of input factors on the output response was examined with DoE, and the results show that the inlet pressure had the most significant impact (97.38%, 99.18%, and 97.38%, respectively, for all different spear sites with a 99% confidence level). In terms of preference values, the TOPSIS and GRA results are comparable (best ranks for simulation runs #24 and #25 and least ranks for simulations #2 and #3, respectively). The CRITIC results for the pressure parameter are in good agreement with the Taguchi ANOVA analysis. The last spear location (5 mm after the nozzle outlet), with an inlet pressure of 413685 Pa generated the best result when employing the TOPSIS and GRA techniques. The outlet pressure of the nozzle was found to have a significant impact on the flow pattern of the Pelton Wheel based on the analysis of the CRITIC, Taguchi, and CFD results.http://www.sciencedirect.com/science/article/pii/S2405844024050175Pelton turbineTaguchiTOPSISGRACRITICDoE |
| spellingShingle | Satish Geeri Aditya Kolakoti Olusegun David Samuel Mohamed Abbas Peter Alenoghena Aigba Habeeb A. Ajimotokan Christopher C. Enweremadu Noureddine Elboughdiri M.A. Mujtaba Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters Heliyon Pelton turbine Taguchi TOPSIS GRA CRITIC DoE |
| title | Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters |
| title_full | Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters |
| title_fullStr | Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters |
| title_full_unstemmed | Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters |
| title_short | Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters |
| title_sort | investigation of flow behaviour in the nozzle of a pelton wheel effects and analysis of influencing parameters |
| topic | Pelton turbine Taguchi TOPSIS GRA CRITIC DoE |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024050175 |
| work_keys_str_mv | AT satishgeeri investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT adityakolakoti investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT olusegundavidsamuel investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT mohamedabbas investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT peteralenoghenaaigba investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT habeebaajimotokan investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT christophercenweremadu investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT noureddineelboughdiri investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters AT mamujtaba investigationofflowbehaviourinthenozzleofapeltonwheeleffectsandanalysisofinfluencingparameters |