UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Development of a multivariate spectral emissivity model for an advanced high strength steel alloy through factorial design-of-experiments

Simple item page
dc.contributor.authorSuleiman, Fatima K
dc.contributor.authorLin, Kaihsiang
dc.contributor.authorDaun, Kyle
dc.date.accessioned2023-04-10T19:52:45Z
dc.date.available2023-04-10T19:52:45Z
dc.date.issued2021-09
dc.descriptionThe final publication is available at Elsevier via https://doi.org/10.1016/j.jqsrt.2021.107693. © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractVariations in the spectral emissivity of advanced high strength steels (AHSS) during intercritical annealing leads to errors in pyrometry measurements, which, in turn, cause thermal excursions that impact the mechanical properties of the steel. This paper presents an empirical approach for modelling the spectral emissivity of advanced high strength steel. Samples of two dual-phase steel (DP980) alloys, having Si/Mn ratios of 0.04 and 0.23, are heated within a galvanizing simulator in atmospheres of 95%/5% N2/H2 and dew points of 10°C and −30°C. The spectral hemispherical reflectance of the annealed samples was measured with an FTIR spectrometer. The variation of the spectral emissivity with dew point, alloy composition, pre-annealed surface state, and wavelength is analyzed using full factorial designs. The significant main and interaction effects vary across the spectral range, with the ratio of alloy components and pre-annealed surface state dominating at shorter and longer wavelengths, respectively. The predicted spectral emissivity values obtained from the model fitted for a three-channel pyrometer shows good agreement with the measurements. This study shows response surface methods (RSM) to be a viable approach for developing spectral emissivity models for pyrometry applications.en
dc.description.sponsorshipNSERC CRD 521291-17, Galvanized Autobody Partnershipen
dc.identifier.urihttps://doi.org/10.1016/j.jqsrt.2021.107693
dc.identifier.urihttp://hdl.handle.net/10012/19265
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesJournal of Quantitative Spectroscopy and Radiative Transfer;107693
dc.subjectadvanced high strength steelen
dc.subjectspectral emissivityen
dc.subjectmultiwavelength pyrometryen
dc.subjectmultispectral radiation thermometryen
dc.subjectemissivity modellingen
dc.subjectemissivity compensation algorithmsen
dc.subjectfull factorial designen
dc.subjectresponse surface methodologyen
dc.titleDevelopment of a multivariate spectral emissivity model for an advanced high strength steel alloy through factorial design-of-experimentsen
dc.typeArticleen
dcterms.bibliographicCitationSuleiman, F. K., Lin, K., & Daun, K. J. (2021). Development of a multivariate spectral emissivity model for an advanced high strength steel alloy through factorial design-of-experiments. Journal of Quantitative Spectroscopy and Radiative Transfer, 271, 107693. https://doi.org/10.1016/j.jqsrt.2021.107693en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Development of a multivariate spectral emissivity model for an advanced high strength.pdf
Size:
2.44 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.47 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Waterloo Research