Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump
Most pumping machineries have a problem of obtaining a higher efficiency over a wide range of operating conditions. To solve that problem, an optimization strategy has been designed to widen the high-efficiency range of the double-suction centrifugal pump at design (Qd) and nondesign flow conditions...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/9737049 |
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| author | Wenjie Wang Majeed Koranteng Osman Ji Pei Shouqi Yuan Jian Cao Fareed Konadu Osman |
| author_facet | Wenjie Wang Majeed Koranteng Osman Ji Pei Shouqi Yuan Jian Cao Fareed Konadu Osman |
| author_sort | Wenjie Wang |
| collection | DOAJ |
| description | Most pumping machineries have a problem of obtaining a higher efficiency over a wide range of operating conditions. To solve that problem, an optimization strategy has been designed to widen the high-efficiency range of the double-suction centrifugal pump at design (Qd) and nondesign flow conditions. An orthogonal experimental scheme is therefore designed with the impeller hub and shroud angles as the decision variables. Then, the “efficiency-house” theory is introduced to convert the multiple objectives into a single optimization target. A two-layer feedforward artificial neural network (ANN) and the Kriging model were combine based on a hybrid approximate model and solved with swarm intelligence for global best parameters that would maximize the pump efficiency. The pump performance is predicted using three-dimensional Reynolds-averaged Navier–Stokes equations which is validated by the experimental test. With ANN, Kriging, and a hybrid approximate model, an optimization strategy is built to widen the high-efficiency range of the double-suction centrifugal pump at overload conditions by 1.63%, 1.95%, and 4.94% for flow conditions 0.8Qd, 1.0Qd, and 1.2Qd, respectively. A higher fitting accuracy is achieved for the hybrid approximation model compared with the single approximation model. A complete optimization platform based on efficiency-house and the hybrid approximation model is built to optimize the model double-suction centrifugal pump, and the results are satisfactory. |
| format | Article |
| id | doaj-art-e3ac94c9f2e845d2ab7a18dd2d224a1b |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e3ac94c9f2e845d2ab7a18dd2d224a1b2025-02-03T01:03:40ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/97370499737049Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal PumpWenjie Wang0Majeed Koranteng Osman1Ji Pei2Shouqi Yuan3Jian Cao4Fareed Konadu Osman5National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, ChinaNational Research Center of Pumps, Jiangsu University, Zhenjiang 212013, ChinaNational Research Center of Pumps, Jiangsu University, Zhenjiang 212013, ChinaNational Research Center of Pumps, Jiangsu University, Zhenjiang 212013, ChinaWuxi Dongfang Ship Research High Performance Boat Engineering Co., Ltd., Wuxi, ChinaNational Research Center of Pumps, Jiangsu University, Zhenjiang 212013, ChinaMost pumping machineries have a problem of obtaining a higher efficiency over a wide range of operating conditions. To solve that problem, an optimization strategy has been designed to widen the high-efficiency range of the double-suction centrifugal pump at design (Qd) and nondesign flow conditions. An orthogonal experimental scheme is therefore designed with the impeller hub and shroud angles as the decision variables. Then, the “efficiency-house” theory is introduced to convert the multiple objectives into a single optimization target. A two-layer feedforward artificial neural network (ANN) and the Kriging model were combine based on a hybrid approximate model and solved with swarm intelligence for global best parameters that would maximize the pump efficiency. The pump performance is predicted using three-dimensional Reynolds-averaged Navier–Stokes equations which is validated by the experimental test. With ANN, Kriging, and a hybrid approximate model, an optimization strategy is built to widen the high-efficiency range of the double-suction centrifugal pump at overload conditions by 1.63%, 1.95%, and 4.94% for flow conditions 0.8Qd, 1.0Qd, and 1.2Qd, respectively. A higher fitting accuracy is achieved for the hybrid approximation model compared with the single approximation model. A complete optimization platform based on efficiency-house and the hybrid approximation model is built to optimize the model double-suction centrifugal pump, and the results are satisfactory.http://dx.doi.org/10.1155/2020/9737049 |
| spellingShingle | Wenjie Wang Majeed Koranteng Osman Ji Pei Shouqi Yuan Jian Cao Fareed Konadu Osman Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump Complexity |
| title | Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump |
| title_full | Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump |
| title_fullStr | Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump |
| title_full_unstemmed | Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump |
| title_short | Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump |
| title_sort | efficiency house optimization to widen the operation range of the double suction centrifugal pump |
| url | http://dx.doi.org/10.1155/2020/9737049 |
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