Metal-ceramic composites are being increasingly explored in an effort to find new materials for use in extreme environments. Via functional grading of of the volume fraction of the constituant phases and other techniques, the material can be optimized to incorporate the mechanical properties of the metal phase with the thermal properties of the ceramic phase. To get further benefit of the metal phase, a new area being investigated is the incorporation of Shape Memory Alloys (SMAs). In order to predict the phase transformation features of an SMA embedded in a stiff ceramic matrix, a micromechanical approach is developed to find the effective phase diagram of the ceramic-SMA composite. From this analysis, other composite characteristics such as stress in each phase and the evolution of tranformation strain in the SMA can be determined in order to improve the design of such new composite materials.
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ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 28–October 1, 2010
Philadelphia, Pennsylvania, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4416-8
PROCEEDINGS PAPER
Numerical Prediction of Effective Transformation Properties of Hybrid SMA-Ceramic Composites
Brian Lester,
Brian Lester
Texas A&M University, College Station, TX
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Yves Chemisky,
Yves Chemisky
Texas A&M University, College Station, TX
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Dimitris Lagoudas
Dimitris Lagoudas
Texas A&M University, College Station, TX
Search for other works by this author on:
Brian Lester
Texas A&M University, College Station, TX
Yves Chemisky
Texas A&M University, College Station, TX
Dimitris Lagoudas
Texas A&M University, College Station, TX
Paper No:
SMASIS2010-3748, pp. 97-104; 8 pages
Published Online:
April 4, 2011
Citation
Lester, B, Chemisky, Y, & Lagoudas, D. "Numerical Prediction of Effective Transformation Properties of Hybrid SMA-Ceramic Composites." Proceedings of the ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2. Philadelphia, Pennsylvania, USA. September 28–October 1, 2010. pp. 97-104. ASME. https://doi.org/10.1115/SMASIS2010-3748
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