Article(id=1309475088718725676, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1309475082548896055, articleNumber=null, orderNo=null, doi=10.19710/J.cnki.1003-8817.20260133, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790132790020, onlineDateStr=2026-09-23, pubDate=1787155200000, pubDateStr=2026-08-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790132790020, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790132790020, creator=13701087609, updateTime=1790132790020, updator=13701087609, issue=Issue{id=1309475082548896055, tenantId=1146029695717560320, journalId=1189873562199433220, year='2026', volume='', issue='8', pageStart='1', pageEnd='72', issueExtLink='null', onlineDate='null', pubDate='1787155200000', pubDateStr='2026-08-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1790132788550, creator='13701087609', updateTime=1790132870635, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309475426930614510, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1309475082548896055, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309475426930614511, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1309475082548896055, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=27, endPage=32, ext={EN=ArticleExt(id=1309475088920052269, articleId=1309475088718725676, tenantId=1146029695717560320, journalId=1189873562199433220, language=EN, title=Riveting Die Selection and Performance Analysis of Steel-Magnesium Self-Piercing Riveting Based on Simufact Forming, columnId=null, journalTitle=Automobile Technology & Material, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Based on Simufact Forming software, the rivet die selection and performance analysis of Self-Piercing Riveting (SPR) joining between DC01 steel sheet and die-cast magnesium alloy AM50A are investigated. The results show that the trapezoidal die exhibits better crack resistance compared with the flat-bottom die and the spherical die. Focusing on the trapezoidal die, the simulation model obtained through iterative optimization accurately predicts the joint forming process and failure modes under cross-peel and tensile-shear loading conditions. Furthermore, the simulated load-displacement curves, peak load and absorbed energy are highly consistent with the experimental results. The "process simulation-performance prediction-experimental validation" research framework established in this study can effectively support the rivet die selection and optimization for steel-to-magnesium SPR process, where the simulation method holds core value in crack resistance analysis, failure mode study and joint performance prediction.

, authors=Dan Qi, Qingzhu Yang, Linyang Zhang, Hua Zhang, Boyang Liu, Xinqiao Zhao, authorsList=Dan Qi, Qingzhu Yang, Linyang Zhang, Hua Zhang, Boyang Liu, Xinqiao Zhao, authorCompany=null, correspAuthors=null, 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=1309475089192682030, articleId=1309475088718725676, tenantId=1146029695717560320, journalId=1189873562199433220, language=CN, title=基于Simufact Forming的钢-镁自冲铆接铆模选型与连接性能分析, columnId=1309475083433894201, journalTitle=汽车工艺与材料, columnName=整车连接技术专题, runingTitle=null, highlight=null, articleAbstract=

基于Simufact Forming软件，对DC01钢板与压铸镁合金AM50A的自冲铆接（SPR）进行了铆模选型与性能分析，结果表明：相比平底模、球模，梯形模表现出更好的抗裂性；经过优化迭代获得的仿真模型较为准确地预测了梯形模连接成形过程以及十字剥离、拉剪工况下的失效模式，且得到的载荷-位移曲线、峰值力载荷、吸收功与试验结果一致性较高。构建的“工艺仿真-性能预测-试验验证”研究路径能有效支撑钢-镁SPR工艺的铆模选型与优化，仿真方法在抗裂性能分析、失效模式以及连接性能预测等方面具有应用价值。

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齐丹（1983—），女，学士学位，正高级工程师，研究方向为汽车新材料及先进工艺技术研究。

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齐丹（1983—），女，学士学位，正高级工程师，研究方向为汽车新材料及先进工艺技术研究。

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