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A Simplified Multivariant SMA Model Based on Invariant Plane ...

A Simplified Multivariant SMA Model Based on Invariant Plane ...

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compromises in calculati<strong>on</strong>s of the interacti<strong>on</strong> energy in order to achieve a small enough<br />

value to provide realistic predicti<strong>on</strong>s. By removing the micromechanical calculati<strong>on</strong> of<br />

interacti<strong>on</strong> energy, we achieved a model that is more physically based yet retains the<br />

essential crystallographic and thermodynamic framework and still utilizes<br />

micromechanics where appropriate in the multi-grain interacti<strong>on</strong>s for polycrystalline<br />

samples. The simplified model performs extremely well for quantitative comparis<strong>on</strong>s to<br />

experimental data <strong>on</strong> n<strong>on</strong>-simple loadings. In additi<strong>on</strong>, the computati<strong>on</strong> time is rapid,<br />

making the model feasible for higher level studies.<br />

Some further improvements to the model are under investigati<strong>on</strong>, most notably work to<br />

incorporate corresp<strong>on</strong>dence variant subunits and an effort to include anisotropy into the<br />

polycrystalline calculati<strong>on</strong>s. With these additi<strong>on</strong>al improvements the <str<strong>on</strong>g>Multivariant</str<strong>on</strong>g> model<br />

will be a powerful tool for both calculati<strong>on</strong> of <str<strong>on</strong>g>SMA</str<strong>on</strong>g> c<strong>on</strong>stitutive resp<strong>on</strong>se and material<br />

level resp<strong>on</strong>se and will provide a c<strong>on</strong>venient test bed for simulating and understanding<br />

<str<strong>on</strong>g>SMA</str<strong>on</strong>g> resp<strong>on</strong>se to complex thermomechanical loading.<br />

APPENDIX<br />

The <str<strong>on</strong>g>Multivariant</str<strong>on</strong>g> model is solved numerically for a single c<strong>on</strong>stitutive point given some<br />

initial c<strong>on</strong>diti<strong>on</strong>s (the initial volume fracti<strong>on</strong>s of all variants, typically these start from<br />

zeros). A brief descripti<strong>on</strong> of the algorithm is given here and the reader is referred to<br />

(Huang, 1997; Huang et al., 2000; Huang and Brins<strong>on</strong>, 1998) for more details.<br />

Single Crystal Algorithm:<br />

For each step of loading history (Temperature and Stress state)<br />

i i i i i<br />

1. Find net force for each variant Fnet = Fext + Fint + Ffric + Fwall<br />

�<br />

�<br />

2. If | Fnet | ≠ 0 , assign an initial trial step size h proporti<strong>on</strong>al to 1/| Fnet |<br />

�<br />

3. While | Fnet | ≠ 0 do<br />

Calculate ∆f i (volume fracti<strong>on</strong> change) and Err i (estimated error) by taking a Cash-<br />

Karp Runge-Kutta step<br />

21

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