Article(id=1309639382185902286, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1731427200000, receivedDateStr=2024-11-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171960635, onlineDateStr=2026-09-23, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171960635, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171960635, creator=13701087609, updateTime=1790171960635, updator=13701087609, issue=Issue{id=1309639371255542472, tenantId=1146029695717560320, journalId=1146119893612605453, year='2025', volume='43', issue='11', pageStart='1421', pageEnd='1562', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171958030, creator='13701087609', updateTime=1790231751141, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309890161824063505, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309890161824063506, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1494, endPage=1501, ext={EN=ArticleExt(id=1309639382529835215, articleId=1309639382185902286, tenantId=1146029695717560320, journalId=1146119893612605453, language=EN, title=Optimized design of wind mixing heater structure by orthogonal test, columnId=null, journalTitle=Renewable Energy Resources, columnName=null, runingTitle=null, highlight=null, articleAbstract=

High -efficiency direct -drive heating devices are the key part to improve the performance of direct-drive wind heating systems. In this paper, the optimal structural parameters of a typical straight-blade disc turbine agitator heating device were investigated. The effect of input torque and power for the agitator heating device were also investigated via single-factor experiments and orthogonal experiments, and a multiple linear regression model for input power and the various factors of the agitator heating device were established. The results showed that the increasing in the number of blades, liquid level height, and rotational speed can enhance the performance of the agitator heating device, while the increasing in the height of the agitator blade decreasing its performance. And the increasing in the number of baffles initially can improve the performance of the heating device, but the performance improvement will no longer increase as the number of blades reaches a certain value. The degree of influence of the aforementioned factors on the performance of the agitator heating device is as follows: rotational speed > height of agitator blades > number of baffles > liquid level height > number of blades. The agitator blade height and rotational speed have a positive impact on the performance of the heating device, while the number of baffles and liquid level height have a significant influence. The performance of the direct-drive agitator heating system can be predicted with the established multiple linear regression model based on the various optimal structural parameters. The investigation of this paper can founded a basis for designing and optimizing of the direct-drive agitator heating devices.

, authors=Xing Huang, Weizhao Zhao, Shaolong Wang, Hongyan Yan, Liyang Xu, authorsList=Xing Huang, Weizhao Zhao, Shaolong Wang, Hongyan Yan, Liyang Xu, authorCompany=null, correspAuthors=Shaolong Wang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309639382739550416, articleId=1309639382185902286, tenantId=1146029695717560320, journalId=1146119893612605453, language=CN, title=风力搅拌致热器结构正交试验优化设计, columnId=0, journalTitle=可再生能源, columnName=, runingTitle=null, highlight=null, articleAbstract=

高效的直驱式致热器是提升风力直驱致热系统性能的关键。文章针对典型的直叶圆盘涡轮式搅拌致热器的最佳结构参数展开研究，通过单因素试验和正交试验定量分析了影响搅拌致热器的输入扭矩及功率的因素及其大小，建立了搅拌致热器的输入功率与各因素间的多元线性回归模型。研究结果表明：增加桨叶数、液面高度、转速均可以提升搅拌致热器性能，提升搅拌桨高度会降低搅拌致热器性能，在一定范围内增加挡板数可以提升致热器性能，当桨叶数达到一定数值后其性能不再提升。各因素对搅拌致热器性能影响程度依次为：转速>搅拌桨高度>挡板数>液面高度>桨叶数，其中，搅拌桨高度和转速对致热器性能影响特别显著，挡板数和液面高度对于搅拌致热器性能有显著影响，而桨叶数在合适范围内有一定的影响。针对不同工况下的搅拌致热器的最佳结构参数，应用多元线性回归理论建立与之相适应的回归方程，可以预测搅拌致热系统的性能。

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