Massachusetts Institute of Technology
An alloy selection and processing framework for nanocrystalline materials
Abstract
dc:description.abstractNanocrystalline materials have a unique set of properties due to their nanometer-scale grain size. To harness these properties, grain growth in these materials needs to be suppressed, particularly in order to process bulk nanocrystalline components and to use them reliably. Alloying the material with the right elements has the potential to produce remarkably stable nanocrystalline states, particularly if the nanocrystalline state is thermodynamically stable against grain growth. This thesis builds upon previous models for selecting alloy combinations that lead to thermodynamic stability against grain growth, by developing frameworks that extend to negative enthalpy of mixing systems and ordered grain boundary complexions. These models are used to develop a generalized stability criterion based on bulk thermodynamic parameters, which can be used to select alloy systems that are formally stable against grain growth. A robust statistical mechanics framework is developed for reliable thermodynamic observations using Monte Carlo simulations to produce free energy diagrams and phase diagrams for stable nanocrystalline alloys.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Materials Science and Engineering
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kalidindi, Arvind R.(Arvind Rama)
- Advisor dc:contributor.advisor
-
- Christopher A. Schuh.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/120208
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/120208