Font Size: a A A

A new Framework for the Interpretation of Modulated Martensites in Shape Memory Alloys

Posted on:2014-01-15Degree:Ph.DType:Dissertation
University:University of MinnesotaCandidate:Jusuf, VincentFull Text:PDF
GTID:1451390008957738Subject:Applied mechanics
Abstract/Summary:
Shape memory alloys (SMAs) are a class of materials with unusual properties that have been attributed to the material undergoing a martensitic phase transformation (MPT). An MPT consists of the material's crystal structure evolving in a coordinated fashion from a high symmetry austenite phase to a low symmetry martensite phase. Often in SMAs, the austenite is a B2 cubic configuration that transforms into a Modulated Martensite (MM) phase. MMs are long-period stacking order structures consisting of cubic (110) basal planes. First-principles computational results have shown that the minimum energy phase for these materials is not a MM, but a short-period structure called the ground state martensite. It is commonly argued that energy contributions associated with kinematic compatibility constraints at the austenite-martensite interface explain the experimental observation of meta-stable MMs, as opposed to the expected ground state martensite phase. To date, a general approach for predicting the properties of the MM structure that will be observed for a particular material has not been available.;In this work, we develop a new framework for the interpretation of MMs as natural features of the material's energy landscape (expressed as a function of the lattice parameters and individual atomic positions within a perfect infinite crystal). From this energy-based framework, a new understanding of MMs as a mixture of two short-period base martensite phases is developed. Using only a small set of input data associated with the two base martensites, this Modulated Martensite Mixture Model is capable of accurately predicting the energy, lattice constants, and structural details of an arbitrary modulated martensite phase. This is demonstrated by comparing the Modulated Martensite Mixture Model predictions to computational results from a particular empirical atomistic model.
Keywords/Search Tags:Modulated martensite, New, Framework
Related items