Integrating in-situ two-wavelength pyrometry with thermal field modeling to elucidate solidification microstructure in LPBF of IN718.
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| Title: | Integrating in-situ two-wavelength pyrometry with thermal field modeling to elucidate solidification microstructure in LPBF of IN718. |
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| Authors: | Liu, Yuzhe1 (AUTHOR), Zhang, Haolin1 (AUTHOR), Vallabh, Chaitanya Krishna Prasad1 (AUTHOR), Wiezorek, Jorg Michael1 (AUTHOR) wiezorek@pitt.edu, Zhao, Xiayun1 (AUTHOR) |
| Source: | International Journal of Advanced Manufacturing Technology. Jun2026, Vol. 144 Issue 9/10, p7549-7566. 18p. |
| Subjects: | Pyrometry, Solidification, Thermal analysis, Inconel, Powder bed fusion, Computer simulation |
| Abstract: | This study combines experimentally measured melt pool surface temperatures using a novel single-camera two-wavelength imaging pyrometry (STWIP) system with COMSOL numerical simulation to investigate the relationship between thermal evolution and microstructure formation during laser powder bed fusion (LPBF) of IN718. Using the Kurz-Fisher dendritic growth model, quantitative solidification microstructure metrics, such as primary dendrite arm spacings (PDAS), are linked to local solidification interface characteristics, including thermal gradient and growth velocity. By integrating STWIP temperature measurements with post-mortem SEM imaging of solidified microstructures and constraining numerical thermal-field simulations with these experimental data, the framework enables location-specific estimation of solidification interface properties and their influence on microstructure evolution. This work presents an approach for an experimentally grounded framework that directly leverages measured melt pool thermodynamics—rather than relying on purely simulated temperatures—to analyze the interplay between laser processing parameters, melt pool dynamics, and resulting microstructure. While demonstrated for IN718, the approach is broadly extensible to other alloys and LPBF conditions, highlighting the potential of high-acquisition-rate, emissivity-independent in-situ pyrometry to support microstructure prediction, process understanding, and data-driven parameter optimization in additive manufacturing of high-performance alloys. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature 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 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating in-situ two-wavelength pyrometry with thermal field modeling to elucidate solidification microstructure in LPBF of IN718. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Yuzhe%22">Liu, Yuzhe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Haolin%22">Zhang, Haolin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vallabh%2C+Chaitanya+Krishna+Prasad%22">Vallabh, Chaitanya Krishna Prasad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wiezorek%2C+Jorg+Michael%22">Wiezorek, Jorg Michael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wiezorek@pitt.edu</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xiayun%22">Zhao, Xiayun</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Jun2026, Vol. 144 Issue 9/10, p7549-7566. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pyrometry%22">Pyrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Solidification%22">Solidification</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+analysis%22">Thermal analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Inconel%22">Inconel</searchLink><br /><searchLink fieldCode="DE" term="%22Powder+bed+fusion%22">Powder bed fusion</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study combines experimentally measured melt pool surface temperatures using a novel single-camera two-wavelength imaging pyrometry (STWIP) system with COMSOL numerical simulation to investigate the relationship between thermal evolution and microstructure formation during laser powder bed fusion (LPBF) of IN718. Using the Kurz-Fisher dendritic growth model, quantitative solidification microstructure metrics, such as primary dendrite arm spacings (PDAS), are linked to local solidification interface characteristics, including thermal gradient and growth velocity. By integrating STWIP temperature measurements with post-mortem SEM imaging of solidified microstructures and constraining numerical thermal-field simulations with these experimental data, the framework enables location-specific estimation of solidification interface properties and their influence on microstructure evolution. This work presents an approach for an experimentally grounded framework that directly leverages measured melt pool thermodynamics—rather than relying on purely simulated temperatures—to analyze the interplay between laser processing parameters, melt pool dynamics, and resulting microstructure. While demonstrated for IN718, the approach is broadly extensible to other alloys and LPBF conditions, highlighting the potential of high-acquisition-rate, emissivity-independent in-situ pyrometry to support microstructure prediction, process understanding, and data-driven parameter optimization in additive manufacturing of high-performance alloys. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature 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: 10.1007/s00170-026-18265-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 7549 Subjects: – SubjectFull: Pyrometry Type: general – SubjectFull: Solidification Type: general – SubjectFull: Thermal analysis Type: general – SubjectFull: Inconel Type: general – SubjectFull: Powder bed fusion Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: Integrating in-situ two-wavelength pyrometry with thermal field modeling to elucidate solidification microstructure in LPBF of IN718. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Yuzhe – PersonEntity: Name: NameFull: Zhang, Haolin – PersonEntity: Name: NameFull: Vallabh, Chaitanya Krishna Prasad – PersonEntity: Name: NameFull: Wiezorek, Jorg Michael – PersonEntity: Name: NameFull: Zhao, Xiayun IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 144 – Type: issue Value: 9/10 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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