Article(id=1223202681867587785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230416, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1679241600000, receivedDateStr=2023-03-20, revisedDate=1681228800000, revisedDateStr=2023-04-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563845363, onlineDateStr=2026-01-28, pubDate=1703433600000, pubDateStr=2023-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563845363, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563845363, creator=13701087609, updateTime=1769563845363, updator=13701087609, issue=Issue{id=1223202678788965355, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='12', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769563844630, creator=13701087609, updateTime=1769563913308, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202966899901286, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202966899901287, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=203, endPage=206, ext={EN=ArticleExt(id=1223202683285262558, articleId=1223202681867587785, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Multi-objective Optimization of A New Savonius-type Impeller Parameters with Slots, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

A new type of MBC impellerr with a guide vane slot structure was proposed to improve the energy capture and wave reduction efficiency of Savonius-type (S-type) impeller. A multi-objective optimization algorithm combined BP neural network, NSGA-Ⅱ, numerical simulation and experimental test was used to optimize five parameters of the MBC impeller including overlap ratio, gap ratio, internal and external arc angle, internal arc radius, and guide vane size. The performance of the optimal MBC impeller was compared with that of the S-type and MB-type impellers. The results show that the prediction error of the relevant performance values is less than 10% compared to the actual values, verifying the good performance of the established prediction model. The obtained optimal parameters are: overlap ratio of 0.136, gap ratio of 0.003, internal and external arc angle of 5.23°, internal arc radius of 41.42 mm, and guide vane size of 2.83 mm. Compared with the traditional S-type impeller, the optimal MBC impeller has increased energy capture efficiency by 35.8% and wave reduction efficiency by 11%.

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为了提高Savonius型(S型)叶轮的捕能效率和消波效率,提出了一种新型的带导流槽结构的MBC型叶轮。通过数值模拟、试验测试及BP神经网络结合NSGA-Ⅱ的多目标优化算法优化MBC型叶轮的重叠率、间隙率、内外圆弧夹角、内圆弧半径、导流槽尺寸等5个参数,对比分析了最优MBC型、S型和MB型叶轮的性能表现。结果表明,相关性能的预测值与实际值的误差小于10%,验证了所建立的预测模型的性能良好,得到的最优参数为重叠率0.136、间隙率0.003、内外圆弧夹角5.23°、内圆弧半径41.42 mm、导流槽尺寸2.83 mm;最优MBC型叶轮相较于传统S型叶轮,捕能效率、消波效率分别提升了35.8%、11.0%。

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宋瑞银(1974-),男,教授、硕导,研究方向为海洋机电装备,E-mail:
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杨状状(1998-),男,硕士研究生,研究方向为波浪能发电,E-mail:

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杨状状(1998-),男,硕士研究生,研究方向为波浪能发电,E-mail:

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一种新型带槽式Savonius叶轮参数多目标优化
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杨状状 1, 2 , 宋瑞银 2 , 刘博宇 2, 3 , 任聪杰 2 , 林躜 2 , 盛勇 1, 2
水电能源科学 | 机电与控制工程 2023,41(12): 203-206
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水电能源科学 | 机电与控制工程 2023, 41(12): 203-206
一种新型带槽式Savonius叶轮参数多目标优化
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杨状状1, 2 , 宋瑞银2 , 刘博宇2, 3, 任聪杰2, 林躜2, 盛勇1, 2
作者信息
  • 1.浙江科技学院机械与能源工程学院,浙江 杭州 310023
  • 2.浙大宁波理工学院,浙江 宁波 315100
  • 3.浙江大学机械工程学院,浙江 杭州 310030
  • 杨状状(1998-),男,硕士研究生,研究方向为波浪能发电,E-mail:

通讯作者:

宋瑞银(1974-),男,教授、硕导,研究方向为海洋机电装备,E-mail:
Multi-objective Optimization of A New Savonius-type Impeller Parameters with Slots
Zhuang-zhuang YANG1, 2 , Rui-yin SONG2 , Bo-yu LIU2, 3, Cong-jie REN2, Zuan LIN2, Yong SHENG1, 2
Affiliations
  • 1.School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
  • 2.NingboTech University, Ningbo 315100, China
  • 3.School of Mechanical Engineering, Zhejiang University, Hangzhou 310030, China
出版时间: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230416
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为了提高Savonius型(S型)叶轮的捕能效率和消波效率,提出了一种新型的带导流槽结构的MBC型叶轮。通过数值模拟、试验测试及BP神经网络结合NSGA-Ⅱ的多目标优化算法优化MBC型叶轮的重叠率、间隙率、内外圆弧夹角、内圆弧半径、导流槽尺寸等5个参数,对比分析了最优MBC型、S型和MB型叶轮的性能表现。结果表明,相关性能的预测值与实际值的误差小于10%,验证了所建立的预测模型的性能良好,得到的最优参数为重叠率0.136、间隙率0.003、内外圆弧夹角5.23°、内圆弧半径41.42 mm、导流槽尺寸2.83 mm;最优MBC型叶轮相较于传统S型叶轮,捕能效率、消波效率分别提升了35.8%、11.0%。

Savonius型叶轮  /  BP神经网络  /  NSGA-Ⅱ遗传算法  /  多目标优化

A new type of MBC impellerr with a guide vane slot structure was proposed to improve the energy capture and wave reduction efficiency of Savonius-type (S-type) impeller. A multi-objective optimization algorithm combined BP neural network, NSGA-Ⅱ, numerical simulation and experimental test was used to optimize five parameters of the MBC impeller including overlap ratio, gap ratio, internal and external arc angle, internal arc radius, and guide vane size. The performance of the optimal MBC impeller was compared with that of the S-type and MB-type impellers. The results show that the prediction error of the relevant performance values is less than 10% compared to the actual values, verifying the good performance of the established prediction model. The obtained optimal parameters are: overlap ratio of 0.136, gap ratio of 0.003, internal and external arc angle of 5.23°, internal arc radius of 41.42 mm, and guide vane size of 2.83 mm. Compared with the traditional S-type impeller, the optimal MBC impeller has increased energy capture efficiency by 35.8% and wave reduction efficiency by 11%.

Savonius-type impeller  /  BP neural network  /  NSGA-Ⅱ genetic algorithm  /  multi-objective optimization
杨状状, 宋瑞银, 刘博宇, 任聪杰, 林躜, 盛勇. 一种新型带槽式Savonius叶轮参数多目标优化. 水电能源科学, 2023 , 41 (12) : 203 -206 . DOI: 10.20040/j.cnki.1000-7709.2023.20230416
Zhuang-zhuang YANG, Rui-yin SONG, Bo-yu LIU, Cong-jie REN, Zuan LIN, Yong SHENG. Multi-objective Optimization of A New Savonius-type Impeller Parameters with Slots[J]. Water Resources and Power, 2023 , 41 (12) : 203 -206 . DOI: 10.20040/j.cnki.1000-7709.2023.20230416
  • 国家自然科学基金项目(52001276)
  • 浙江省“领雁”重大专项研发项目(2023C03122)
2023年第41卷第12期
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doi: 10.20040/j.cnki.1000-7709.2023.20230416
  • 接收时间:2023-03-20
  • 首发时间:2026-01-28
  • 出版时间:2023-12-25
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  • 收稿日期:2023-03-20
  • 修回日期:2023-04-12
基金
国家自然科学基金项目(52001276)
浙江省“领雁”重大专项研发项目(2023C03122)
作者信息
    1.浙江科技学院机械与能源工程学院,浙江 杭州 310023
    2.浙大宁波理工学院,浙江 宁波 315100
    3.浙江大学机械工程学院,浙江 杭州 310030

通讯作者:

宋瑞银(1974-),男,教授、硕导,研究方向为海洋机电装备,E-mail:
参考文献
分享链接
https://castjournals.cast.org.cn/joweb/sdnykx/CN/10.20040/j.cnki.1000-7709.2023.20230416
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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