QUANTITATIVE STRESS MAPPING IN ALUMINA COMPOSITES BY OPTICAL FLUORESCENCE IMAGING

Citation
Rh. Dauskardt et Jw. Ager, QUANTITATIVE STRESS MAPPING IN ALUMINA COMPOSITES BY OPTICAL FLUORESCENCE IMAGING, Acta materialia, 44(2), 1996, pp. 625-641
Citations number
43
Categorie Soggetti
Material Science","Metallurgy & Metallurigical Engineering
Journal title
ISSN journal
13596454
Volume
44
Issue
2
Year of publication
1996
Pages
625 - 641
Database
ISI
SICI code
1359-6454(1996)44:2<625:QSMIAC>2.0.ZU;2-U
Abstract
Internal residual stresses exist in almost all polycrystalline materia ls and in many cases exert a profound influence on mechanical and phys ical behavior. In inherently brittle ceramics and ceramic composites, toughening mechanisms often depend sensitively on localized residual s tresses. However, despite their prominence few studies are available w hich provide a detailed characterization of the local spatial variatio n of residual stress fields in ceramics and their composites. In this study, we report on the spatially resolved mapping of local residual a nd applied stresses in polycrystalline alumina and a variety of Al2O3- SiCw composites. Stress mapping is based on the well established metho d of measuring shifts in the characteristic optical fluorescence lines produced by Cr3+ impurities in the alumina matrix. Novel illumination and imaging optics are used to collect up to 15,000 stress measuremen ts from an area approx. 1 mm(2). Detailed stress maps are generated wh ich produce a vivid and quantitative indication of the complex residua l stress fields present in these materials. The additional effect of a non-uniform applied stress field ahead of a blunt notch is also measu red. Results are discussed in the context of thermal expansion anisotr opy within the alumina phase, thermal expansion differences between th e SiC-reinforcement and Al2O3 matrix, and the non-uniform distribution of whiskers. The mean value and fluctuation of the resultant residual stress fields are estimated by extension of recent stochastic mechani cs models and compared to measured values.