Digital twin-based monitoring of physical quantities and joint mechanical properties in friction stir welding.
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| Title: | Digital twin-based monitoring of physical quantities and joint mechanical properties in friction stir welding. |
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| Authors: | Sun, Zhuo1 lxhdlut@dlut.edu.cn, Yang, Banghua2 1274041112@qq.com, Liu, Zhe3 1945771411@qq.com, Lu, Xiaohong4,5 3500861279@qq.com |
| Source: | Insight: Non-Destructive Testing & Condition Monitoring. Apr2026, Vol. 68 Issue 4, p260-266. 7p. |
| Subjects: | Friction stir welding, Digital twin, Microhardness, Temperature measurements, Compressive force, Tensile strength, Real-time computing, Multisensor data fusion |
| Abstract: | Given the complexities of friction stir welding (FSW), traditional monitoring methods often fail to provide comprehensive real-time insights. By leveraging advanced digital twin technology, this study proposes an innovative system tailored for FSW. This system is capable of real-time monitoring of the temperature and axial force, as well as predicting the tensile strength and microhardness of the joint. By establishing a prediction model for joint mechanical properties based on multi-source data fusion techniques, the system achieves real-time processing and analysis of force and thermal data, enabling online prediction of joint mechanical properties. The integration of the prediction model, MySQL database, 3D visualisation and virtual-real data interaction significantly enhances the capability of the system for dynamic evaluation of physical quantities and joint mechanical properties in real time. The validity of the proposed method and the developed system is verified by experiments. This research provides valuable insights for optimising FSW process control. This work advances digital twin applications in solid-state welding by bridging the gap between multi-physics monitoring and real-time quality prediction. [ABSTRACT FROM AUTHOR] |
| Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193079580 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Digital twin-based monitoring of physical quantities and joint mechanical properties in friction stir welding. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sun%2C+Zhuo%22">Sun, Zhuo</searchLink><relatesTo>1</relatesTo><i> lxhdlut@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Banghua%22">Yang, Banghua</searchLink><relatesTo>2</relatesTo><i> 1274041112@qq.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhe%22">Liu, Zhe</searchLink><relatesTo>3</relatesTo><i> 1945771411@qq.com</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Xiaohong%22">Lu, Xiaohong</searchLink><relatesTo>4,5</relatesTo><i> 3500861279@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Insight%3A+Non-Destructive+Testing+%26+Condition+Monitoring%22">Insight: Non-Destructive Testing & Condition Monitoring</searchLink>. Apr2026, Vol. 68 Issue 4, p260-266. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Friction+stir+welding%22">Friction stir welding</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Microhardness%22">Microhardness</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+measurements%22">Temperature measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Compressive+force%22">Compressive force</searchLink><br /><searchLink fieldCode="DE" term="%22Tensile+strength%22">Tensile strength</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Given the complexities of friction stir welding (FSW), traditional monitoring methods often fail to provide comprehensive real-time insights. By leveraging advanced digital twin technology, this study proposes an innovative system tailored for FSW. This system is capable of real-time monitoring of the temperature and axial force, as well as predicting the tensile strength and microhardness of the joint. By establishing a prediction model for joint mechanical properties based on multi-source data fusion techniques, the system achieves real-time processing and analysis of force and thermal data, enabling online prediction of joint mechanical properties. The integration of the prediction model, MySQL database, 3D visualisation and virtual-real data interaction significantly enhances the capability of the system for dynamic evaluation of physical quantities and joint mechanical properties in real time. The validity of the proposed method and the developed system is verified by experiments. This research provides valuable insights for optimising FSW process control. This work advances digital twin applications in solid-state welding by bridging the gap between multi-physics monitoring and real-time quality prediction. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1784/insi.2026.68.4.260 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 260 Subjects: – SubjectFull: Friction stir welding Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Microhardness Type: general – SubjectFull: Temperature measurements Type: general – SubjectFull: Compressive force Type: general – SubjectFull: Tensile strength Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Multisensor data fusion Type: general Titles: – TitleFull: Digital twin-based monitoring of physical quantities and joint mechanical properties in friction stir welding. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Zhuo – PersonEntity: Name: NameFull: Yang, Banghua – PersonEntity: Name: NameFull: Liu, Zhe – PersonEntity: Name: NameFull: Lu, Xiaohong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13542575 Numbering: – Type: volume Value: 68 – Type: issue Value: 4 Titles: – TitleFull: Insight: Non-Destructive Testing & Condition Monitoring Type: main |
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