| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Micro-void Deformation Prediction: A Possible Future Asynchronous AM Benchmarking Challenge |
| Author(s) |
Orion L. Kafka, Jake T. Benzing, Newell Moser, Nicholas A. Derimow, Jordan S. Weaver, Edward Garboczi, Nik Hrabe |
| On-Site Speaker (Planned) |
Orion L. Kafka |
| Abstract Scope |
This potential future asynchronous AM Benchmark challenge involves a series of in-situ X-ray computed tomography (XCT) measurements (sometimes called 4D experiments) of miniaturized uniaxial, monotonic tensile specimens. The challenge would assess the ability of modelers to predict the pore deformation in AM built material. Modelers would be provided with initial pore configurations, information on the expected bulk mechanical properties, and crystallographic and microstructural details and asked to predict pore configurations at various levels of imposed load. The experiments would be done with a Zeiss Xradia XRM-500 lab-scale X-ray computed tomography instrument and Deben in-situ load frame. Specimens will be IN718 built using selective laser melting. Experimental details to be provided include mechanical response (e.g., stress-strain curves) and qualitative and quantitative analysis of the pores tracked throughout the experiments. Details of the experimental method and preliminary data indicative of the possible challenge dataset will be discussed. |
| Proceedings Inclusion? |
Undecided |