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04.02.2020 | SMST2019 | Ausgabe 1/2020

Shape Memory and Superelasticity 1/2020

Phase Transformation Graph and Transformation Pathway Engineering for Shape Memory Alloys

Shape Memory and Superelasticity > Ausgabe 1/2020
Yipeng Gao, Taiwu Yu, Yunzhi Wang
Wichtige Hinweise
This article is an invited submission to Shape Memory and Superelasticity selected from presentations at the Shape Memory and Superelastic Technology Conference and Exposition (SMST2019) held May 13–17, 2019 at The Bodensee Forum in Konstanz, Germany, and has been expanded from the original presentation.

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Even though martensitic transformations (MTs) in shape memory alloys (SMAs) are thermoelastic (i.e., fully reversible) and the polydomain structures of martensite are self-accommodating with invariant-plane strains, dislocations and sometimes grain boundaries seems to be the inevitable byproducts of the transformation during either thermal or stress cycling, similar to what have been observed during MTs in non-SMAs such as steels. These characteristics associated with MT cycling can lead to some serious problems such as dimensional instability and functional fatigue. In this review, we introduce a recently developed theoretical construct called phase transformation graph (PTG) analysis and show that defect generation in SMAs and their functionality and performance are closely related to the topology of their PTGs. Using PTG topology as a guide, we discuss design strategies to alter the topology of PTGs for high-performance SMAs with improved functionality and functional fatigue resistance. Most of our predictions have been confirmed by experimental characterization and testing. The PTG analysis could open a new avenue for judicious design of next-generation SMAs for widespread technological applications.

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