2020
DOI: 10.1016/j.tafmec.2020.102693
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Dynamic crack modeling and analytical stress field analysis in single-crystal silicon using quantitative fractography

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Cited by 14 publications
(5 citation statements)
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“…The cleavage fracture anisotropy of silicon was studied by Perez et al [ 10 ], who suggested that cleavage and crack propagation anisotropy of monocrystalline silicon could be explained by lattice trapping. Moulins et al [ 11 ] modelled cracks together with the internal stress analysis of silicon crystal, which gave a deep comprehension of silicon fractography, since the structural orientation was supposed to be the reason for crystal anisotropy. Mylvaganam et al [ 12 ] revealed the deformation behaviors of three typical silicon crystal orientations of [001], [110] and [111].…”
Section: Introductionmentioning
confidence: 99%
“…The cleavage fracture anisotropy of silicon was studied by Perez et al [ 10 ], who suggested that cleavage and crack propagation anisotropy of monocrystalline silicon could be explained by lattice trapping. Moulins et al [ 11 ] modelled cracks together with the internal stress analysis of silicon crystal, which gave a deep comprehension of silicon fractography, since the structural orientation was supposed to be the reason for crystal anisotropy. Mylvaganam et al [ 12 ] revealed the deformation behaviors of three typical silicon crystal orientations of [001], [110] and [111].…”
Section: Introductionmentioning
confidence: 99%
“…The analytical approach cannot directly simulate cracks but can provide detailed stress field information, which aids in predicting crack initiation. Moulins et al [ 93 ] employed quantitative fracture techniques to perform dynamic crack modeling and stress field analysis in monocrystalline silicon. By comparing the predicted fracture characteristics from the analytical model with experimental observations, they established the dynamic crack propagation behavior within the silicon and determined the asymptotic stress field at the crack tip.…”
Section: Models and Simulation For Dwsmentioning
confidence: 99%
“…On the one hand, the demand for semiconductor devices is continuing to rise worldwide in recent years owing to the growing demand to realize an advanced information society using Internet of Things (IoT) and Artificial Intelligence (AI) technologies. On the other hand, it is known that semiconductor materials, including Si, are susceptible to brittle fracture due to mechanical loading and strain caused by thermal expansion under adverse operating conditions, which is a major cause of fatal defects in devices 4 6 . Brittle materials often fail from defect heterostructures such as microcracks and voids, which act as fracture initiation points due to stress concentration, that grow and coalesce leading to total rupture of the material.…”
Section: Introductionmentioning
confidence: 99%