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Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump.
- Source :
- Complexity; 9/26/2020, p1-18, 18p
- Publication Year :
- 2020
-
Abstract
- 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 (Q<subscript>d</subscript>) 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 0.8Q<subscript>d</subscript>, 1.0Q<subscript>d</subscript>, and 1.2Q<subscript>d</subscript>, 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10762787
- Database :
- Complementary Index
- Journal :
- Complexity
- Publication Type :
- Academic Journal
- Accession number :
- 146101492
- Full Text :
- https://doi.org/10.1155/2020/9737049