Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm
In view of the problems of low efficiency, poor anticavitation performance, and curve hump for current centrifugal pump in the process of desulfurization and dust removal, the desulfurization dust removal centrifugal pump was designed. The velocity coefficient method was used for hydraulic design of...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/6294824 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564365621985280 |
|---|---|
| author | Yuqin Wang Xinwang Huo Hailong Ji |
| author_facet | Yuqin Wang Xinwang Huo Hailong Ji |
| author_sort | Yuqin Wang |
| collection | DOAJ |
| description | In view of the problems of low efficiency, poor anticavitation performance, and curve hump for current centrifugal pump in the process of desulfurization and dust removal, the desulfurization dust removal centrifugal pump was designed. The velocity coefficient method was used for hydraulic design of centrifugal pump, and the three-dimensional modeling and numerical simulation of flow field of centrifugal pump were carried out by using computational fluid dynamics technology (CFD). The optimal mathematical model with the highest efficiency and the lowest pump net positive suction head NPSHr as the objective function was established under the condition of no curve hump. The immune particle swarm optimization algorithm was used to optimize the multiobjective function, and the optimal combination of the main parameters was obtained. The simulation results showed that, compared with the traditional centrifugal pump, the performance of the optimized centrifugal pump had been greatly improved, which eliminated the phenomenon of curve hump. Based on IH model chemical pump to build a prototype test platform, the experimental results of the external characteristics of the prototype pump and the optimization pump under different working conditions were obtained. At the rated flow rate, the optimization pump efficiency was increased by 13.30%, the head was increased by 11.52%, and NPSHr was decreased by 10.14%. The experimental results showed that the optimized indexes met the design requirements and improved the performance of centrifugal pump. At the same time, the accuracy of the immune particle swarm control method was verified, which provided some reference for the design of desulfurization dust removal centrifugal pump. |
| format | Article |
| id | doaj-art-e0d2378bf7fe48b0944ee6741d9d8dff |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-e0d2378bf7fe48b0944ee6741d9d8dff2025-02-03T01:11:18ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422018-01-01201810.1155/2018/62948246294824Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm AlgorithmYuqin Wang0Xinwang Huo1Hailong Ji2College of Mechanical and Electronic Engineering, Chaohu University, Chaohu, Anhui 238000, ChinaCollege of Mechanical and Electronic Engineering, Chaohu University, Chaohu, Anhui 238000, ChinaCollege of Mechanical and Electronic Engineering, Chaohu University, Chaohu, Anhui 238000, ChinaIn view of the problems of low efficiency, poor anticavitation performance, and curve hump for current centrifugal pump in the process of desulfurization and dust removal, the desulfurization dust removal centrifugal pump was designed. The velocity coefficient method was used for hydraulic design of centrifugal pump, and the three-dimensional modeling and numerical simulation of flow field of centrifugal pump were carried out by using computational fluid dynamics technology (CFD). The optimal mathematical model with the highest efficiency and the lowest pump net positive suction head NPSHr as the objective function was established under the condition of no curve hump. The immune particle swarm optimization algorithm was used to optimize the multiobjective function, and the optimal combination of the main parameters was obtained. The simulation results showed that, compared with the traditional centrifugal pump, the performance of the optimized centrifugal pump had been greatly improved, which eliminated the phenomenon of curve hump. Based on IH model chemical pump to build a prototype test platform, the experimental results of the external characteristics of the prototype pump and the optimization pump under different working conditions were obtained. At the rated flow rate, the optimization pump efficiency was increased by 13.30%, the head was increased by 11.52%, and NPSHr was decreased by 10.14%. The experimental results showed that the optimized indexes met the design requirements and improved the performance of centrifugal pump. At the same time, the accuracy of the immune particle swarm control method was verified, which provided some reference for the design of desulfurization dust removal centrifugal pump.http://dx.doi.org/10.1155/2018/6294824 |
| spellingShingle | Yuqin Wang Xinwang Huo Hailong Ji Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm Advances in Materials Science and Engineering |
| title | Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm |
| title_full | Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm |
| title_fullStr | Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm |
| title_full_unstemmed | Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm |
| title_short | Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm |
| title_sort | multiobjective optimization design and experimental study of desulfurization dust removal centrifugal pump based on immune particle swarm algorithm |
| url | http://dx.doi.org/10.1155/2018/6294824 |
| work_keys_str_mv | AT yuqinwang multiobjectiveoptimizationdesignandexperimentalstudyofdesulfurizationdustremovalcentrifugalpumpbasedonimmuneparticleswarmalgorithm AT xinwanghuo multiobjectiveoptimizationdesignandexperimentalstudyofdesulfurizationdustremovalcentrifugalpumpbasedonimmuneparticleswarmalgorithm AT hailongji multiobjectiveoptimizationdesignandexperimentalstudyofdesulfurizationdustremovalcentrifugalpumpbasedonimmuneparticleswarmalgorithm |