Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Silicon has a large impact on today’s world economy, also known as Silicon Age. For instance, it is an extremely important material for renewable energy systems like photovoltaics. Thereby, the use of polycrystalline silicon has a very wide range of application. For a safe and economic operation with this material, the most accurate prediction or measurement of the elastic properties possible is of interest in the first place even if the focus is on the analysis of the inelastic behavior and related reliability and service life predictions. The problem of effective elastic parameters of polycrystals is also a question of material symmetry. The silicon single crystals obey cubic symmetry while for the aggregate, at random orientation of its constituents, isotropy results. We here give a synopsis on established analytical approaches used to predict effective values as well as a review on experimental outcomes at crystal and aggregate level. In context of present material, the methods are applied and effective properties are predicted analytically while results are compared in terms of the different approaches applied and the material data sets accessed. The results are also contrasted to the measured findings. The resulting deviations are discussed whereby the reasons for these discrepancies are identified. For the application of the effective properties in practicable calculations, this implies that special emphasis must be placed on the origin of these data. The results of mono- and polycrystal properties for both, experimental and analytical findings, are tabulated in clear and concise form, so that they are readily accessible to design engineers.
Silicon has a large impact on today’s world economy, also known as Silicon Age. For instance, it is an extremely important material for renewable energy systems like photovoltaics. Thereby, the use of polycrystalline silicon has a very wide range of application. For a safe and economic operation with this material, the most accurate prediction or measurement of the elastic properties possible is of interest in the first place even if the focus is on the analysis of the inelastic behavior and related reliability and service life predictions. The problem of effective elastic parameters of polycrystals is also a question of material symmetry. The silicon single crystals obey cubic symmetry while for the aggregate, at random orientation of its constituents, isotropy results. We here give a synopsis on established analytical approaches used to predict effective values as well as a review on experimental outcomes at crystal and aggregate level. In context of present material, the methods are applied and effective properties are predicted analytically while results are compared in terms of the different approaches applied and the material data sets accessed. The results are also contrasted to the measured findings. The resulting deviations are discussed whereby the reasons for these discrepancies are identified. For the application of the effective properties in practicable calculations, this implies that special emphasis must be placed on the origin of these data. The results of mono- and polycrystal properties for both, experimental and analytical findings, are tabulated in clear and concise form, so that they are readily accessible to design engineers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.