Share Email Print

Proceedings Paper

Modeling for stress-strain curve of a porous NiTi under compressive loading
Author(s): Ying Zhao; Minoru Taya
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Two models for predicting the stress-strain curve of porous NiTi under compressive loading are presented in this paper. Porous NiTi shape memory alloy is investigated as a composite composed of solid NiTi as matrix and pores as inclusions. Eshelby’s equivalent inclusion method and Mori-Tanaka’s mean-field theory are employed in both models. In the first model, the geometry of the pores is assumed as sphere. The composite is with close-cells. While in the second model, two geometries of the pores, sphere and ellipsoid, are investigated. The pores are interconnected to each other forming an open-cell microstructure. The two adjacent pores connected along equator ring are investigated as a unit. Two pores interact with each other as they are connected. The average eigenstrain of each unit is obtained by taking the average of each pore’s eigenstrain. The stress-strain curves of porous shape memory alloy with spherical pores and ellipsoidal pores are compared, it is found that the shape of the pores has a nonignorable influence on the mechanical property of the porous NiTi. Comparison of the stress-strain curves of the two models shows that introducing of the average eigenstrains in the second model makes the predictions more agreeable to the experimental results.

Paper Details

Date Published: 17 May 2005
PDF: 11 pages
Proc. SPIE 5764, Smart Structures and Materials 2005: Smart Structures and Integrated Systems, (17 May 2005); doi: 10.1117/12.599866
Show Author Affiliations
Ying Zhao, Univ. of Washington (United States)
Minoru Taya, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 5764:
Smart Structures and Materials 2005: Smart Structures and Integrated Systems
Alison B. Flatau, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?