Ashwin Rao
Affiliations: | 2014 | Mechanical | Texas A & M University, College Station, TX, United States |
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"Ashwin Rao"
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Rao A, Srinivasa AR. (2019) A thermodynamic driving force approach for analyzing functional degradation of shape memory alloy components Mechanics of Advanced Materials and Structures. 26: 1543-1555 |
Rao A, Bosak G, Joshi B, et al. (2017) A TiAlCu Metallization for ānā Type $$\hbox {CoSb}_x$$ CoSb x Skutterudites with Improved Performance for High-Temperature Energy Harvesting Applications Journal of Electronic Materials. 46: 2419-2431 |
Rao A, Banjade P, Bosak G, et al. (2016) A quick and efficient measurement technique for performance evaluation of thermoelectric materials Measurement Science and Technology. 27: 105008 |
Rao A, Srinivasa AR. (2015) A three-species model for simulating torsional response of shape memory alloy components using thermodynamic principles and discrete Preisach models Mathematics and Mechanics of Solids. 20: 345-372 |
Rao A, Ruimi A, Srinivasa AR. (2014) Internal loops in superelastic shape memory alloy wires under torsion ā Experiments and simulations/predictions International Journal of Solids and Structures. 51: 4554-4571 |
Rao A, Srinivasa AR. (2013) Experiments on functional fatigue of thermally activated shape memory alloy springs and correlations with driving force intensity Proceedings of Spie. 8689 |
Doraiswamy S, Rao A, Srinivasa AR. (2013) A two species thermodynamic Preisach approach for simulating superelastic responses of shape memory alloys under tension and bending loading conditions Proceedings of Spie. 8689 |
Ghosh P, Rao A, Srinivasa AR. (2013) Design of multi-state and smart-bias components using shape memory alloy and shape memory polymer composites Materials and Design. 44: 164-171 |
Rao A, Srinivasa AR. (2013) A two species thermodynamic Preisach model for the torsional response of shape memory alloy wires and springs under superelastic conditions International Journal of Solids and Structures. 50: 887-898 |
Ghosh P, Rao A, Srinivasa AR. (2012) Multifunctional Smart Material System (MSMS) using Shape memory alloys and Shape Memory Polymers Proceedings of Spie - the International Society For Optical Engineering. 8341 |