{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:14:27Z","timestamp":1774926867911,"version":"3.50.1"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T00:00:00Z","timestamp":1686009600000},"content-version":"vor","delay-in-days":38,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3202901"],"award-info":[{"award-number":["2022YFC3202901"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20190851"],"award-info":[{"award-number":["BK20190851"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51879121"],"award-info":[{"award-number":["51879121"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>To implement energy savings in multistage centrifugal pumps, a return channel is utilized to replace the origin inter-stage flow channel structure, and then a single-objective optimization work containing high-precision numerical simulation, design variable dimensionality reduction, and machine learning is conducted to obtain the optimal geometric parameters. The variable dimensionality reduction process is based on the Spearman correlation analysis method. The influence of 15 design variables of the impeller and return channel is investigated, and seven of them with high-impact factors are selected as the final optimization variables. Thereafter, a genetic algorithm-backpropagation neural network (GA-BPNN) model is used to create a surrogate model with a high-fitting performance by employing a GA to optimize the initial thresholds and weights of a BPNN. Finally, a multi-island genetic algorithm (MIGA) is employed to maximize hydraulic efficiency under the nominal condition. The findings demonstrate that the optimized model\u2019s efficiency is increased by 4.29% at 1.0Qd, and the deterioration of the pump performance under overload conditions is effectively eliminated (the maximum efficiency increase is 14.72% at 1.3Qd). Furthermore, the internal flow analysis indicates that the optimization scheme can improve the turbulence kinetic energy distribution and reduce unstable flow structures in the multistage centrifugal pump.<\/jats:p>","DOI":"10.1093\/jcde\/qwad045","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T13:46:30Z","timestamp":1686318390000},"page":"1204-1218","source":"Crossref","is-referenced-by-count":19,"title":["Structural optimization of multistage centrifugal pump via computational fluid dynamics and machine learning method"],"prefix":"10.1093","volume":"10","author":[{"given":"Jiantao","family":"Zhao","sequence":"first","affiliation":[{"name":"National Research Center of Pumps, Jiangsu University , Zhenjiang 212013 , Jiangsu Province, China"}]},{"given":"Ji","family":"Pei","sequence":"additional","affiliation":[{"name":"National Research Center of Pumps, Jiangsu University , Zhenjiang 212013 , Jiangsu Province, China"}]},{"given":"Jianping","family":"Yuan","sequence":"additional","affiliation":[{"name":"National Research Center of Pumps, Jiangsu University , Zhenjiang 212013 , Jiangsu Province, China"}]},{"given":"Wenjie","family":"Wang","sequence":"additional","affiliation":[{"name":"National Research Center of Pumps, Jiangsu University , Zhenjiang 212013 , Jiangsu Province, China"},{"name":"Wenling Research Institute of Fluid Machinery, Jiangsu University , Taizhou 317522 , Zhejiang Province, China"}]}],"member":"286","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"2023062810453209200_bib1","doi-asserted-by":"crossref","first-page":"771","DOI":"10.3390\/jmse9070771","article-title":"Nature-inspired modified BAT algorithm for the high-efficiency optimization of a multistage centrifugal pump for a reverse osmosis desalination system","volume":"9","author":"Gong","year":"2021","journal-title":"Journal of Marine Science and 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