Mechanical dissimilarity of defects in welded joints via Grassmann manifold and machine learning-Reference-Cited by-同舟云学术

Mechanical dissimilarity of defects in welded joints via Grassmann manifold and machine learning

Published:2021-01-13 Issue:10-11 Volume:348 Page:911-935
ISSN:1873-7234
Container-title:Comptes Rendus. Mécanique
language:en
Short-container-title:

Author:

Ryckelynck David,Goessel Thibault,Nguyen Franck

Publisher

Cellule MathDoc/CEDRAM

Subject

Mechanics of Materials,General Materials Science

Link

https://comptes-rendus.academie-sciences.fr/mecanique/article/CRMECA_2020__348_10-11_911_0.pdf

Reference43 articles.

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3. [3] Uwaba, T.; Yano, Y.; Ito, M. Resistance spot weldability of 11cr-ferritic/martensitic steel sheets, J. Nucl. Mater., Volume 421 (2012) no. 1, pp. 132-139

4. [4] Dinda, S. K.; Warnett, J. M.; Williams, M. A.; Roy, G. G.; Srirangam, P. 3D imaging and quantification of porosity in electron beam welded dissimilar steel to Fe–Al alloy joints by X-ray tomography, Mater. Des., Volume 96 (2016), pp. 224-231

5. [5] Madison, J. D.; Aagesen, L. K. Quantitative characterization of porosity in laser welds of stainless steel, Scr. Mater., Volume 67 (2012) no. 9, pp. 783-786

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