About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Mechanical Behavior of Nuclear Reactor Materials and Components III
|
Presentation Title |
Additively Manufactured Digital Image Correlation for Nuclear Materials |
Author(s) |
Kaelee Novich, Timothy L. Phero, Sarah E. Cole, Michael D. McMurtrey, David Estrada, Brian J Jaques |
On-Site Speaker (Planned) |
Kaelee Novich |
Abstract Scope |
Real-time monitoring of materials in harsh environments is a crucial technique towards reducing innovation time in nuclear systems. Non-contact sensors, such as digital image correlation (DIC), offer a less destructive way to measure deformation of materials compared to alternative methods of in-situ strain determination, such as weldable strain gauges. However, DIC depends on high contrast surfaces, which often relies on the implementation of artificial patterns. Traditional splatter techniques have limitations, including poor surface adhesion and poor reproducibility. In this work, we have implemented additive manufacturing solutions to avoid such limitations. Accordingly, aerosol jet printing (AJP) was used to print small scale periodic patterns of silver on stainless steel and aluminum tensile specimens. DIC was employed to monitor strain (up to 1100 µε) during temperature cycling from 23-600 °C. The results validated the use of AJP to better control pattern parameters for small fields of view at high temperatures. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Other, Other |