采用近似模型和NSGA-II遗传算法的旋流泵性能优化研究
旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数。【目的】建立旋流泵性能优化方法,为今后的工程提供参考。【方法】采用中心复合的方法对无叶腔宽度L、叶片数Z和叶片出口宽度b2进行了试验设计,使用CFD数值计算获得了样本的性能特性,而后采用Kriging模型建立了几何参数与旋流泵效率和叶片表面剪切应力的关系,最后利用非支配排序遗传算法对几何参数进行多目标寻优并进行了性能预测和对比分析。【结果】研究确定旋流泵最优几何参数L为25 mm、Z为8枚、b2为26.45 mm;优化后旋流泵无叶腔的宽度降低了16.67%,叶轮的叶片数增加了1枚,叶片的出口宽度增加了25.95%。优化后旋流...
Saved in:
| Published in | Guanʻgai paishui xuebao Vol. 38; no. 7; pp. 76 - 83 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
Xinxiang City
Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
01.07.2019
中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡450002 西华大学流体及动力机械教育部重点实验室,成都 610039%中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡,450002%河南科技学院,河南 新乡,453003 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1672-3317 |
| DOI | 10.13522/j.cnki.ggps.20190018 |
Cover
| Abstract | 旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数。【目的】建立旋流泵性能优化方法,为今后的工程提供参考。【方法】采用中心复合的方法对无叶腔宽度L、叶片数Z和叶片出口宽度b2进行了试验设计,使用CFD数值计算获得了样本的性能特性,而后采用Kriging模型建立了几何参数与旋流泵效率和叶片表面剪切应力的关系,最后利用非支配排序遗传算法对几何参数进行多目标寻优并进行了性能预测和对比分析。【结果】研究确定旋流泵最优几何参数L为25 mm、Z为8枚、b2为26.45 mm;优化后旋流泵无叶腔的宽度降低了16.67%,叶轮的叶片数增加了1枚,叶片的出口宽度增加了25.95%。优化后旋流泵的效率显著提高,同时叶片的表面剪切应力降低;在设计工况点,旋流泵的效率提高了1.06%,叶片平均剪切应力从优化前的274.37 Pa减少至204.57 Pa,降低了25.44%;优化后消除了在叶片的前缘处较大的剪切应力;叶片的表面的剪切应力在靠近叶片的出口处得到显著抑制。【结论】通过数值模拟验证了中心复合的方法是可行,提高了旋流泵性能。 |
|---|---|
| AbstractList | HT311; 旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数.[目的]建立旋流泵性能优化方法,为今后的工程提供参考.[方法]采用中心复合的方法对无叶腔宽度L、叶片数Z和叶片出口宽度b2进行了试验设计,使用CFD数值计算获得了样本的性能特性,而后采用Kriging模型建立了几何参数与旋流泵效率和叶片表面剪切应力的关系,最后利用非支配排序遗传算法对几何参数进行多目标寻优并进行了性能预测和对比分析.[结果]研究确定旋流泵最优几何参数L为25 mm、Z为8枚、b2为26.45 mm;优化后旋流泵无叶腔的宽度降低了16.67%,叶轮的叶片数增加了1枚,叶片的出口宽度增加了25.95%.优化后旋流泵的效率显著提高,同时叶片的表面剪切应力降低;在设计工况点,旋流泵的效率提高了1.06%,叶片平均剪切应力从优化前的274.37 Pa减少至204.57 Pa,降低了25.44%;优化后消除了在叶片的前缘处较大的剪切应力;叶片的表面的剪切应力在靠近叶片的出口处得到显著抑制.[结论]通过数值模拟验证了中心复合的方法是可行,提高了旋流泵性能. 旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数。【目的】建立旋流泵性能优化方法,为今后的工程提供参考。【方法】采用中心复合的方法对无叶腔宽度L、叶片数Z和叶片出口宽度b2进行了试验设计,使用CFD数值计算获得了样本的性能特性,而后采用Kriging模型建立了几何参数与旋流泵效率和叶片表面剪切应力的关系,最后利用非支配排序遗传算法对几何参数进行多目标寻优并进行了性能预测和对比分析。【结果】研究确定旋流泵最优几何参数L为25 mm、Z为8枚、b2为26.45 mm;优化后旋流泵无叶腔的宽度降低了16.67%,叶轮的叶片数增加了1枚,叶片的出口宽度增加了25.95%。优化后旋流泵的效率显著提高,同时叶片的表面剪切应力降低;在设计工况点,旋流泵的效率提高了1.06%,叶片平均剪切应力从优化前的274.37 Pa减少至204.57 Pa,降低了25.44%;优化后消除了在叶片的前缘处较大的剪切应力;叶片的表面的剪切应力在靠近叶片的出口处得到显著抑制。【结论】通过数值模拟验证了中心复合的方法是可行,提高了旋流泵性能。 |
| Author | MA, Qiuyan HAN Qibiao LI, Hao YE Daoxing SUN Xiulu |
| AuthorAffiliation | 中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡450002;西华大学流体及动力机械教育部重点实验室,成都 610039%中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡,450002%河南科技学院,河南 新乡,453003 |
| AuthorAffiliation_xml | – name: 中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡450002;西华大学流体及动力机械教育部重点实验室,成都 610039%中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡,450002%河南科技学院,河南 新乡,453003 |
| Author_FL | HAN Qibiao YE Daoxing MA Qiuyan LI Hao SUN Xiulu |
| Author_FL_xml | – sequence: 1 fullname: YE Daoxing – sequence: 2 fullname: LI Hao – sequence: 3 fullname: MA Qiuyan – sequence: 4 fullname: HAN Qibiao – sequence: 5 fullname: SUN Xiulu |
| Author_xml | – sequence: 1 fullname: YE Daoxing – sequence: 2 givenname: Hao surname: LI fullname: LI, Hao – sequence: 3 givenname: Qiuyan surname: MA fullname: MA, Qiuyan – sequence: 4 fullname: HAN Qibiao – sequence: 5 fullname: SUN Xiulu |
| BookMark | eNpFj01LAlEYhe_CIDN_QqtoOdP9mLnvnaVImiC1qNYy3rkjWozmJG2TAhe6KSyjRdgq27QRW030Z-ZD_0WWQXDgbB7O4dlAKa_pKYS2CNYJMyndbejSO63rtVrL1ykmFsZEpFCacKAaYwTWUdb361WMKeUGEziNCoteLxlO5l-3YRDEk5fouR_dDQ6OijmtVFp0R2EwTt5H8fQ-ebqJR_141o2ns_jqdX79GQaP0eAhGQ-Tt49NtObaZ77K_nUGnRT2jvP7WvmwWMrnylqLUEE0xiUTrgM2BWqarsEdExQ2icQAFjjScg3JqQS3KgVnwpIcMDggHcDKsJRiGbSz2r20Pdf2apVGs9P2lo-VH-dfZcCELLntFddqN887yr_4Bxm2BGXLUPYNT3ZxjA |
| ClassificationCodes | HT311 |
| ContentType | Journal Article |
| Copyright | Copyright Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 2019 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 2019 – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 3V. 7X2 7XB 8FE 8FH 8FK AFKRA ATCPS AZQEC BENPR BHPHI CCPQU DWQXO GNUQQ GUQSH HCIFZ M0K M2O MBDVC PHGZM PHGZT PKEHL PQEST PQQKQ PQUKI Q9U 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.13522/j.cnki.ggps.20190018 |
| DatabaseName | ProQuest Central (Corporate) Agricultural Science Collection ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Natural Science Journals ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central ProQuest Central Student Research Library Prep SciTech Premium Collection Agricultural Science Database Research Library Research Library (Corporate) ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central Basic Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitle | Agricultural Science Database Research Library Prep ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Basic ProQuest Central Essentials ProQuest One Academic Eastern Edition Agricultural Science Collection SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest SciTech Collection ProQuest Central ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Research Library ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | Agricultural Science Database |
| Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| DocumentTitle_FL | Optimal Design of Vortex Pump Using Approximate Model and the Non-dominated Sorting Genetic Algorithm |
| EndPage | 83 |
| ExternalDocumentID | ggps201907011 |
| GrantInformation_xml | – fundername: 中央级科研院所基本科研业务费专项(中国农业科学院农田灌溉研究所)资助项目; 四川省科技厅计划项目; 四川省教育厅项目; 西华大学校重点基金项目; 西华大学青年学者后备人才项目 funderid: (FIRI2018-03); (2019YJ0451); (172467); (Z1620408); 西华大学青年学者后备人才项目 |
| GroupedDBID | 3V. 5XA 5XE 7X2 7XB 8FE 8FH 8FK 92G 92I ABJNI ACGFS AFKRA ALMA_UNASSIGNED_HOLDINGS ATCPS AZQEC BENPR BHPHI CCPQU CW9 DWQXO GNUQQ GUQSH HCIFZ M0K M2O MBDVC PHGZM PHGZT PKEHL PQEST PQQKQ PQUKI Q9U TGD U1G U5N 2B. 4A8 93N GROUPED_DOAJ PSX TCJ |
| ID | FETCH-LOGICAL-p1281-36c38fd7a27255f46d57e051c07797dc9f4c62c7fbc86389c6707d7cd70e49ee3 |
| IEDL.DBID | BENPR |
| ISSN | 1672-3317 |
| IngestDate | Thu May 29 04:05:16 EDT 2025 Thu Sep 18 00:24:32 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 7 |
| Keywords | 叶片表面剪切应力 效率 旋流泵 NSGA-II遗传算法 性能优化 |
| Language | Chinese |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-p1281-36c38fd7a27255f46d57e051c07797dc9f4c62c7fbc86389c6707d7cd70e49ee3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 3098238232 |
| PQPubID | 6843760 |
| PageCount | 8 |
| ParticipantIDs | wanfang_journals_ggps201907011 proquest_journals_3098238232 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-07-01 |
| PublicationDateYYYYMMDD | 2019-07-01 |
| PublicationDate_xml | – month: 07 year: 2019 text: 2019-07-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Xinxiang City |
| PublicationPlace_xml | – name: Xinxiang City |
| PublicationTitle | Guanʻgai paishui xuebao |
| PublicationTitle_FL | Journal of Irrigation and Drainage |
| PublicationYear | 2019 |
| Publisher | Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage 中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡450002 西华大学流体及动力机械教育部重点实验室,成都 610039%中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡,450002%河南科技学院,河南 新乡,453003 |
| Publisher_xml | – name: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage – name: 西华大学流体及动力机械教育部重点实验室,成都 610039%中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡,450002%河南科技学院,河南 新乡,453003 – name: 中国农业科学院农田灌溉研究所/河南省节水农业重点实验室,河南 新乡450002 |
| SSID | ssib002264380 ssib001101356 ssib051374040 ssib046786310 ssj0002507593 ssib006567438 |
| Score | 2.2280562 |
| Snippet | 旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数。【目的】建立旋流泵性能优化方法,为今后的工程提供参考。【方法】采用中心复合的方法对无叶腔宽度L、叶... HT311; 旋流泵无叶腔宽度、叶片数和叶片宽度是影响旋流泵性能中最重要的几何参数.[目的]建立旋流泵性能优化方法,为今后的工程提供参考.[方法]采用中心复合的方法对无叶腔宽... |
| SourceID | wanfang proquest |
| SourceType | Aggregation Database |
| StartPage | 76 |
| SubjectTerms | Algorithms Blades Design flow Design of experiments Design optimization Efficiency Flow rates Genetic algorithms Parameters Shear stress Sorting algorithms Vortices |
| Title | 采用近似模型和NSGA-II遗传算法的旋流泵性能优化研究 |
| URI | https://www.proquest.com/docview/3098238232 https://d.wanfangdata.com.cn/periodical/ggps201907011 |
| Volume | 38 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: ProQuest Central issn: 1672-3317 databaseCode: BENPR dateStart: 20170101 customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.proquest.com/central omitProxy: true ssIdentifier: ssj0002507593 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV09TxtBEF0RI6Q0ERFBIQFEQbtm73Zv566IEIkwHxJWBEGiQ3f74QDS4SRESKmCEonCbkAQRykQVJgmDYLKKH_GvoN_kV37HEOT-naLm3s382Zn9g1Ckyx0IsY1YCcCk6BQqbAfCI1V5IXaV5EPbZ3ZpSKfX2WLa95aHyp278LYtsquT2w7arkt7Bn5FCWB79qilTtd_oDt1ChbXe2O0Aiz0QryVVti7BHqd60yVg71v54tvl3uEQSDQPpAIIxbyfUeAj3blP8PkcaL-PweAfIcCoxk6ijW1xsCAR1lX4eDi6mJxtk1IUtspjbzIt7ayJdKZasMbmIvcfwHVHZgN4x1GJfuxbTCIHqSkdGJmQ56nqK-L--HUOFufz89qt_-OWg2Gkn9rHVSaR1WiytzM3hh4W6v1mycpr9ryeVx-ut7UqskV3vJ5VXy9fz2202z8bNV_ZGeHqUX18_QamH23Zt5nE1bwGVbTcOUC-prCaELJs3QjEsPlHljQQACkCLQTHBXgI6Eb2mO4EBAgpBAFAuUosMoF2_H6jma0IwokJoa8qSZMgHPZJEuB02s-B1xxAga7ZpgPftlPq33PvAIGs_M0ntqTdi2oNnvvPj__pfosV3aaaodRbmdj5_VmKEOO9F4hoe_7qPN8Q |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV2_TxRBFJ4gxGhDNGJEEa_QcmF2Z3bebkEMKuedwIUoJHTn7vw40GQ5AUO0kmhCAY0GPWNhsBIbG4LVqf_M3S78F87czbnS2FFvZid5-81839uZ9z2EbtLIjSlT4Lgx6ASFCOkEIVeOjP1IBTIOoOMzO1thpQX6YNFf7EO_erUw5lplb0_sbNRihZt_5OMEh4FnDq282_VnjukaZU5Xey00IttaQUx0LMZsYce0fLGhU7i1ifI9_b1veV5xav5uybFdBpy6OUVyCOMkUAIiD7S8VpQJH6SGKscAIQgeKsqZx0HFPDD0zhlgEMAFYElDKYl-7xk0QAkNdfI3cGeqMvcwFyQa8eSEIRkzFu854n1TBPB3BehdS8-RE7LvEqDYurEYbtGCBbpOwi4DzyGa_W1ZkhFS40_GePJ0eaxWqxsncs312A1OSOezG1GioqT2D4cWL6BBK34Lk120XkR9L5cuoeLx1la2u3_0-22r2Uz3v7Q_b7ff7VQe3Z90yuXjzUaruZd9b6QH77NPb9LGdnq4mR4cpq--Hr3-2Wp-bO98yPZ2s28_htDCqcT9MupPVhJ5BRUUxRKEIlqsKSo1weqs1WOgsDHbwy4fRiO9EFTtEl2r5oAaRqM2LPlTE8JOBPV49-r_x99A50rzszPVmXJl-ho6b4Z1L_SOoP711efyupYt6_GoxUYBPT5tOP4B9GUKSg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E9%87%87%E7%94%A8%E8%BF%91%E4%BC%BC%E6%A8%A1%E5%9E%8B%E5%92%8CNSGA-II%E9%81%97%E4%BC%A0%E7%AE%97%E6%B3%95%E7%9A%84%E6%97%8B%E6%B5%81%E6%B3%B5%E6%80%A7%E8%83%BD%E4%BC%98%E5%8C%96%E7%A0%94%E7%A9%B6&rft.jtitle=%E7%81%8C%E6%BA%89%E6%8E%92%E6%B0%B4%E5%AD%A6%E6%8A%A5&rft.au=%E5%8F%B6%E9%81%93%E6%98%9F&rft.au=%E6%9D%8E%E6%B5%A9&rft.au=%E9%A9%AC%E7%A7%8B%E5%A6%8D&rft.au=%E9%9F%A9%E5%90%AF%E5%BD%AA&rft.date=2019-07-01&rft.pub=%E4%B8%AD%E5%9B%BD%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E9%99%A2%E5%86%9C%E7%94%B0%E7%81%8C%E6%BA%89%E7%A0%94%E7%A9%B6%E6%89%80%2F%E6%B2%B3%E5%8D%97%E7%9C%81%E8%8A%82%E6%B0%B4%E5%86%9C%E4%B8%9A%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%2C%E6%B2%B3%E5%8D%97+%E6%96%B0%E4%B9%A1450002&rft.issn=1672-3317&rft.volume=38&rft.issue=7&rft.spage=76&rft.epage=83&rft_id=info:doi/10.13522%2Fj.cnki.ggps.20190018&rft.externalDocID=ggps201907011 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fggps%2Fggps.jpg |