%0 Journal Article
%T Bi-material strip based temperature sensor design and optimization through thermo-mechanical multi-physics modeling
%A Baobao Tang
%A Hai Xiao
%A Huijuan Zhao
%A Sarah Kathryn Collings
%J International Journal of Smart and Nano Materials
%D 2019
%R https://doi.org/10.1080/19475411.2018.1526226
%X ABSTRACT With the capability of additive manufacturing, complex structures are easily fabricated to achieve various design purposes. In this work, a bi-material strip temperature sensor with complex periodic pattern design is purposed and investigated through both the analytical modeling and multi-physics finite element analysis. Three design patterns are considered: standard, E-shape and S-shape. In the standard solid strip design, the curvature of the bi-material strip under temperature variation is in a linear relationship with the coefficient of thermal expansion (CTE) difference, but in a reciprocal relationship with the strip thickness. The curvature of the bi-material strip depends on the Young¡¯s modulus ratio and layer thickness ratio of the two materials, but is independent of the magnitude of the materials¡¯ Young¡¯s modulus. Based on analytical derivation and numerical validation, the optimized design parameters can be provided. Compared to S-shape pattern design, E-shape pattern design can significantly increase the temperature sensitivity of the bi-material strip. An analytical prediction of the E-shape pattern¡¯s temperature sensitivity is introduced and discussed. This work proves the concept that new design space becomes available with the capability of additive manufacturing, and provides the general design guideline for a bi-material strip based temperature sensor with possible design patterns
%U https://www.tandfonline.com/doi/full/10.1080/19475411.2018.1526226