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Journal article
Physically-based strength model of tantalum incorporating effects of temperature, strain rate and pressure
Modelling and simulation in materials science and engineering, v 24(5), p55018
14 Jun 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this work, we develop a tantalum strength model that incorporates effects of temperature, strain rate and pressure. Dislocation kink-pair theory is used to incorporate temperature and strain rate effects while the pressure dependent yield is obtained through the pressure dependent shear modulus. Material constants used in the model are parameterized from tantalum single crystal tests and polycrystalline ramp compression experiments. It is shown that the proposed strength model agrees well with the temperature and strain rate dependent yield obtained from polycrystalline tantalum experiments. Furthermore, the model accurately reproduces the pressure dependent yield stresses up to 250 GPa. The proposed strength model is then used to conduct simulations of a Taylor cylinder impact test and validated with experiments. This approach provides a physically-based multi-scale strength model that is able to predict the plastic deformation of polycrystalline tantalum through a wide range of temperature, strain and pressure regimes.
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Details
- Title
- Physically-based strength model of tantalum incorporating effects of temperature, strain rate and pressure
- Creators
- Hojun Lim - Sandia National LaboratoriesCorbett C Battaile - Sandia National LaboratoriesJustin L Brown - Sandia National LaboratoriesChristopher R Weinberger - Drexel UniversitySandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Details
- Modelling and simulation in materials science and engineering, v 24(5), p55018
- Publisher
- IOP Publishing
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000378289000018
- Scopus ID
- 2-s2.0-84976274359
- Other Identifier
- 991019350681804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Physics, Applied