Materials Informatics Class Fall 2014
Below is a research blog index for the projects in the ME8883/CSE8803 Materials Informatics Class in Fall 2015. Click on a project of interest to navigate to the related blog chronicling the progress of each project, and feel free to contribute ideas through the comments or contact sections.
Microparticle Distribution in Slot-Die Extrusion Membranes
In the slot-die extrusion process, many changes can be made to the setup that affect the structure of the resulting membrane film and the location of particles within the membrane. The goal of this project will be to find a linkage between the process and the distribution of the particles within the membrane film.
Developing Structure-Property Linkage for Glass Fibre Reinforced Polymer Composites
Considering GFRP composites’ tremendous applications and inability of theoretical models to accurately predict the properties, we propose to establish a structure-property linkage. In oder to achieve this objective, we followed the steps as shown in following figure.
Quantifying the Structure-Property Relationship in P3HT Thin Film Transistors
The initial goals of this project were to develop processing - structure linkages for semicrystalline polyethylene molecular dynamics (PE-MD) simulations. After analysis of our sample data revealed major issues, the focus of the project was shifted to the comparison of traditional crystallinity analysis tools (such as density and Herman’s Orientation) versus a new approach developed over the course of the term.
Structure-Property Linkages for Polycrystalline Material
The purpose of our project is to obtain a surrogate model for the micrsoctruture evolution problem during grain growth for Kinetic Monte Carlo Model. The development of this model will be done by employing the tools learned during the ME8883 Class. Observe the progress of our project by reading our posts.
Extract Microstructure-Property-Process Linkages in Ageing of Al6061 Aluminium Alloy
Aluminum alloy Al6061 has wide range of application due to its properties. This alloy is a precipitate hardening alloy in which strengthening happens during aging process. In this process new phase start forming from supersaturated solid solution. Many efforts have been done for last few decades to find the effect of aging process on precipitating and to connect final properties of materials to volume fraction, size, and interface nature of precipitates.
Identifying Multi-Layer Formation and Growth on Tungsten Nano-Wires
Our initial project goal consisted of characterizing the porosity distribution and evolution within a tungsten tri-oxide hydrate layer growing on a tungsten nano-wire surface. This research stemmed from Dr. Maryana Nave’s (a PhD student at Clemson University) Ph.D. thesis and was conducted in conjunction with her research advisor, Dr. Konstantin Kornev. It became evident early on that we had insufficient data to visualize porosity and could not meet this goal.
Exploring Process Structure Linkages in Machining of Commercial Purity Titanium
Machining is a subtractive manufacturing process that removes material via failure due to severe plastic deformation (SPD). We use Chord Length Distributions to generate a process-structure linkage based on the imposed processing conditions.
Data Science Solutions to XRD
Our dataset consisted of X-ray scattering intensity images from 12 different samples of polyethylene under different strain conditions. The twelve samples varied systematically between difference in densities, processing conditions, and thickness.
Structure-Property Linkage of Packed Soil Particles
Hydraulic conductivity describes the ease with which the fluid can move through pore spaces. Our project objective is to develop a fast, rigorous approach to quantify hydraulic conductivity of packed soil particles based on acquiring thorough microstructural information.