Acquisition of an Analytical Robo-Met.3D with Orientation Microscopy Capabilities
Abstract
Funds are provided to acquire the components for, and develop and assemble, an automated 3D microstructure characterization system.For advanced materials, it is becoming increasingly important to determine the three dimensional (3D) state of the material, including constituent phases, their orientation, and any defects present, as these correlations have a significant impact on the resulting properties and performance. For example, microtexture in titanium alloys has been associated with early anomalous damage accumulation or subsequent failure. However, current orientation analysis techniques are limited. Electron backscattered diffraction (EBSD) requires that specimens be analyzed using electron beams under vacuum, and is limited by speed and analysis area, making 3D studies of crystal orientation very costly. Beam-line studies can produce high-fidelity, rich 3D orientation datasets, but are not routinely available for most research studies.A technique is needed to provide both microstructure and texture in 3D in a rapid fashion. This proposal seeks to develop and acquire a new technique that is capable of automated serial sectioning/optical imaging while simultaneously integrating recent advances in surface acoustic wave measurements to determine local crystal orientation. This new tool will provide a means ofautomatically collecting microstructures with orientation information in 3D over large volumes without the need for a vacuum and without the costs associated with other techniques. These datasets will allow the determination of point-to-point correlations betweenmicrostructural features and orientations. This tool will impact programs that relate material state with processing, properties and performance, including: the informed qualification of electron beam additively manufactured (e.g., 3D printed) metallic structures; the role of microtexture in wrought titanium alloys; and damage accumulation, fracture and failure of alloys. Thisinstrument will allow students to couple the state-of-the-art in materials science and engineering with the state-of-the-art in non-destructive evaluation, and integrate the fundamentals of microstructure and crystallography with data science and product performance.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 03, 2017
- Source ID
- N000141712294
Entities
People
- Peter C. Collins
Organizations
- Iowa State University
- Office of Naval Research
- United States Navy