Article(id=1223185964617548465, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221076, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1652976000000, receivedDateStr=2022-05-20, revisedDate=1655049600000, revisedDateStr=2022-06-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1769559859661, onlineDateStr=2026-01-28, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769559859661, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769559859661, creator=13701087609, updateTime=1769559859661, updator=13701087609, issue=Issue{id=1223185958363841064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='3', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769559858149, creator=13701087609, updateTime=1769561242661, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223191765415477785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223191765415477786, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=181, endPage=185, ext={EN=ArticleExt(id=1223185965406077650, articleId=1223185964617548465, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Runner Optimization of Bulb Tubular Turbine in A Certain Power Station, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

A turbine runner of a certain power station often produces cracks due to excessive blade stress, which threat to the safe operation of the unit seriously. To solve the problem of the turbine runner blade stress, based on RNGk- ε turbulence model, the modeling and mesh of turbine components were carried out for a bulb tubular turbine. Through the runner blade thickening and angle optimization, CFD technology was used to optimize runner hydraulic performance and strength comparative analysis. The results show that the stress and deformation of the optimized runner blade are greatly improved, which meets the actual engineering needs and can effectively avoid the generation of runner cracks.

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某电站水轮机转轮由于叶片应力过大而经常产生裂纹，严重威胁机组安全运行，为解决该电站水轮机转轮叶片应力过大的问题，以该电站灯泡贯流式水轮机为例，基于RNG κ-ε湍流模型，对水轮机各个部件进行建模、网格划分，通过对转轮叶片的加厚与修角优化处理，利用CFD技术对优化前后转轮水力性能及刚强度进行对比分析。结果表明，优化后转轮叶片应力与变形得到较大改善，符合工程实际需要，可有效避免转轮裂纹的产生。

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韦正鹏（1995-），男，硕士、工程师，研究方向为流体机械仿真计算，E-mail：1476479121@qq.com

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韦正鹏（1995-），男，硕士、工程师，研究方向为流体机械仿真计算，E-mail：1476479121@qq.com

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