Article(id=1319986877021671614, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319986871980118160, articleNumber=null, orderNo=null, doi=10.14062/j.issn.0454-5648.20210365, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1620576000000, receivedDateStr=2021-05-10, revisedDate=1635091200000, revisedDateStr=2021-10-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1792638995652, onlineDateStr=2026-10-22, pubDate=1652976000000, pubDateStr=2022-05-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792638995652, onlineIssueDateStr=2026-10-22, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792638995652, creator=13701087609, updateTime=1792638995652, updator=13701087609, issue=Issue{id=1319986871980118160, tenantId=1146029695717560320, journalId=1263187385517883426, year='2022', volume='50', issue='5', pageStart='1201', pageEnd='1454', issueExtLink='null', onlineDate='null', pubDate='1652976000000', pubDateStr='2022-05-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1792638994450, creator='13701087609', updateTime=1792639285419, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1319988092451275233, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319986871980118160, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1319988092451275234, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319986871980118160, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1223, endPage=1232, ext={EN=ArticleExt(id=1319986877218803904, articleId=1319986877021671614, tenantId=1146029695717560320, journalId=1263187385517883426, language=EN, title=Residual Thermal Stress and Failure Probability Analysis of Solid Oxide Fuel Cell with Gradient Anode, columnId=1263922769897599102, journalTitle=Journal of the Chinese Ceramic Society, columnName=Research Articles, runingTitle=null, highlight=null, articleAbstract=

Due to the difference of thermal expansion coefficient between the components in the solid oxide fuel cell (SOFC), there are some residual thermal stresses in the cell in fabrication. Introducing the functional gradient layer is an effective technique to relieve the residual thermal stress in fabrication. The residual thermal stress and failure probability were calculated by a commercial package named ANSYS. The effects of gradient distribution factor n, sublayers number w in the gradient layer and gradient layer thickness H on the thermal residual stress and failure probability were investigated. The results show that the functional gradient layer can reduce the stress and failure probability in the cell. The increase of the number of sublayers w has little effect on the decrease of the stress and failure probability when the w number exceeds 2. The optimum w number of sublayers is 2. When the gradient distribution factor n is small, the anode failure probability decreases with the increase of gradient layer thickness. In addition, the gradient parameter for the composition functionally graded anode layer was also optimized.

, authors=Xi ZHANG, Zilin YAN, Yexin ZHOU, Zheng ZHONG, authorsList=Xi ZHANG, Zilin YAN, Yexin ZHOU, Zheng ZHONG, authorCompany=null, correspAuthors=Yexin ZHOU, authorNote=

ZHANG Xi (1998-), male, Master candidate. E-mail:

, correspAuthorsNote=
ZHOU Yexin (1983-), male, Ph.D., Associate Professor. E-mail:
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因固体氧化物燃料电池(SOFC)各部件之间热膨胀系数不匹配,使电池在制备过程中存在较大的残余热应力,引入成分功能梯度层是一项能够有效缓解电池制备过程中残余热应力的技术。采用ANSYS软件开展电池中残余热应力和失效概率计算,研究了成分梯度分布因子n、梯度层子层数目w和梯度层厚度H对电池中应力和失效概率的影响。结果表明:功能梯度层能够明显降低电池中的应力和失效概率;分层数w超过2时,继续增加分层数对应力减小和失效概率降低无明显作用,分层数w=2是最佳分层数;当n较小时,随着梯度层厚度增加,阳极失效概率降低。最后对成分梯度电极的梯度设计进行了优化。

, authors=张曦, 严资林, 周晔欣, 仲政, authorsList=张曦, 严资林, 周晔欣, 仲政, authorCompany=null, correspAuthors=周晔欣, authorNote=

张曦(1998—),男,硕士研究生。

, correspAuthorsNote=
周晔欣(1983—),男,博士,副教授。
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张曦(1998—),男,硕士研究生。

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张曦(1998—),男,硕士研究生。

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含梯度阳极固体氧化物燃料电池热残余应力与失效概率分析
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张曦 , 严资林 , 周晔欣 , 仲政
硅酸盐学报 | 研究论文 2022,50(5): 1223-1232
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硅酸盐学报 |研究论文 2022 , 50 (5) : 1223 -1232
含梯度阳极固体氧化物燃料电池热残余应力与失效概率分析
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张曦 , 严资林, 周晔欣 , 仲政
作者信息
  • 哈尔滨工业大学(深圳)理学院,广东 深圳 518055
通讯作者:
周晔欣(1983—),男,博士,副教授。
作者简介:

张曦(1998—),男,硕士研究生。

Residual Thermal Stress and Failure Probability Analysis of Solid Oxide Fuel Cell with Gradient Anode
Xi ZHANG , Zilin YAN, Yexin ZHOU , Zheng ZHONG
Affiliations
  • School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China
  • Corresponding Author:
    ZHOU Yexin (1983-), male, Ph.D., Associate Professor. E-mail:

    ZHANG Xi (1998-), male, Master candidate. E-mail:

出版时间: 2022-05-20 doi: 10.14062/j.issn.0454-5648.20210365
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因固体氧化物燃料电池(SOFC)各部件之间热膨胀系数不匹配,使电池在制备过程中存在较大的残余热应力,引入成分功能梯度层是一项能够有效缓解电池制备过程中残余热应力的技术。采用ANSYS软件开展电池中残余热应力和失效概率计算,研究了成分梯度分布因子n、梯度层子层数目w和梯度层厚度H对电池中应力和失效概率的影响。结果表明:功能梯度层能够明显降低电池中的应力和失效概率;分层数w超过2时,继续增加分层数对应力减小和失效概率降低无明显作用,分层数w=2是最佳分层数;当n较小时,随着梯度层厚度增加,阳极失效概率降低。最后对成分梯度电极的梯度设计进行了优化。

固体氧化物燃料电池  /  残余热应力  /  功能梯度  /  失效概率

Due to the difference of thermal expansion coefficient between the components in the solid oxide fuel cell (SOFC), there are some residual thermal stresses in the cell in fabrication. Introducing the functional gradient layer is an effective technique to relieve the residual thermal stress in fabrication. The residual thermal stress and failure probability were calculated by a commercial package named ANSYS. The effects of gradient distribution factor n, sublayers number w in the gradient layer and gradient layer thickness H on the thermal residual stress and failure probability were investigated. The results show that the functional gradient layer can reduce the stress and failure probability in the cell. The increase of the number of sublayers w has little effect on the decrease of the stress and failure probability when the w number exceeds 2. The optimum w number of sublayers is 2. When the gradient distribution factor n is small, the anode failure probability decreases with the increase of gradient layer thickness. In addition, the gradient parameter for the composition functionally graded anode layer was also optimized.

solid oxide fuel cell  /  residual thermal stress  /  functional gradient  /  failure probability
张曦, 严资林, 周晔欣, 仲政. 含梯度阳极固体氧化物燃料电池热残余应力与失效概率分析. 硅酸盐学报, 2022 , 50 (5) : 1223 -1232 . DOI: 10.14062/j.issn.0454-5648.20210365
Xi ZHANG, Zilin YAN, Yexin ZHOU, Zheng ZHONG. Residual Thermal Stress and Failure Probability Analysis of Solid Oxide Fuel Cell with Gradient Anode[J]. Journal of the Chinese Ceramic Society, 2022 , 50 (5) : 1223 -1232 . DOI: 10.14062/j.issn.0454-5648.20210365
  • 国家重点研发计划(2018YFB1502604)
  • 国家自然科学基金(11932005; U20A20251)
  • 深圳市自然科学基金(JCYJ20200109113439837)
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2022年第50卷第5期
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doi: 10.14062/j.issn.0454-5648.20210365
  • 接收时间:2021-05-10
  • 首发时间:2026-10-22
  • 出版时间:2022-05-20
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  • 收稿日期:2021-05-10
  • 修回日期:2021-10-25
基金
国家重点研发计划(2018YFB1502604)
国家自然科学基金(11932005; U20A20251)
深圳市自然科学基金(JCYJ20200109113439837)
作者信息
    哈尔滨工业大学(深圳)理学院,广东 深圳 518055

通讯作者:

周晔欣(1983—),男,博士,副教授。
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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