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Mechanical Properties of Smart Metal Matrix Composite by Shape Memory Effects

Published online by Cambridge University Press:  10 February 2011

K. Hamada ,
J. H. Lee ,
K. Mizuuchi ,
M. Taya  and
K. Inoue
K. Hamada
Affiliation:
Dept. of Mech. Engr., Univ. of Washington, Seattle, WA 98195, hamada@u.washington.edu
J. H. Lee
Affiliation:
Dept. of Matls. Science & Engr., Univ. of Washington, Seattle, WA 98195
K. Mizuuchi
Affiliation:
Osaka Municipal Tech. Res. Inst., Osaka 536, Japan
M. Taya
Affiliation:
Dept. of Mech. Engr., Univ. of Washington, Seattle, WA 98195, hamada@u.washington.edu
K. Inoue
Affiliation:
Dept. of Matls. Science & Engr., Univ. of Washington, Seattle, WA 98195
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Abstract

The thermomechanical behavior of TiNi shape memory alloy fiber reinforced 6061 aluminum matrix smart composite is investigated experimentally and analytically. The yield stress of the composite is observed to increase with prestrain given to the composite. Analytical model is developed by utilizing a shape memory alloy constitutive model of exponential type for the thermomechanical behavior of the composite. The model predicts that the composite yield stress increases with increasing prestrain, and the key parameters in affecting the composite yield stress are prestrain and matrix heat treatment. The model predicts reasonably well the experimental results of the enhanced composite yield stress.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 459: Symposium Y – Materials for Smart Systems II , 1996 , 143
Copyright
Copyright © Materials Research Society 1997

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References

REFERENCES

1. Venkatesh, A., Hilborn, J., Bidaux, J. E. and Gotthardt, R., in Proc. 1st European Conf. On Smart Structure and Materials, edited by Culshaw, B., Gardiner, P. T. and McDonach, A. (IOP, Bristol, UK, 1992) pp. 185–188.Google Scholar
2. Taya, M., Furuya, Y., Yamada, Y., Watanabe, R., Shibata, S. and Mori, T., in Proc. Smart Materials, ed. Varadan, V. K., SPIE, 373 (1993).Google Scholar
3. Boyd, J. G. and Lagoudas, D. C., J. Intelligent Material Systems and Structures, 5, 333 (1994).Google Scholar
4. Furuya, Y., Sasaki, A. and Taya, M., Materials Trans., JIM, 34, 227 (1993).Google Scholar
5. Armstrong, W. D., J. Intelligent Material Systems and Structures, 7, 448 (1996).Google Scholar
6. Taya, M., Shimamoto, A. and Furuya, Y., in Proc. 10th International Conf. of Composite Materials. V, 275 (1996)Google Scholar
7. For example, Otsuka, K., Wayman, C. M., Nakai, K., Sakamoto, H. and Shimizu, K., Acta Metall., 24, 207 (1976)Google Scholar
8. Tanaka, K., Res Mechanica, 18, 251 (1986)Google Scholar
9. Liang, C. and Rogers, C. A., J. of Intelligent Material Systems and Structures, 1, 207 (1990)Google Scholar