Senvol, ORNL Publish Report on Pedigreed Metal 3D Printing Data
Senvol, which created the most comprehensive database of industrial 3D printers and materials, offers several products to help companies access, generate, and analyze AM data in order to implement the technology. Several American defense agencies, such as the US Air Force, US Army, and the US Navy, have used Senvol’s tools in the past. Now, the company announced that it recently teamed up again with the US Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) to publish a technical report on on pedigreed additive manufacturing data.
The report, “Collection of High Pedigree AM Data for Data Analysis and Correlation,” is the result of a two-year cooperative research and development agreement, which was all about the generation of—you guessed it—pedigreed AM data.
The two worked together to evaluate and execute Senvol’s proprietary Standard Operating Procedure (SOP) document, so it could be used to collect pedigree AM data specifically for a laser powder bed fusion 3D printer using an aluminum (Al-Si-Mg) alloy.
The overall goal here was for ORNL to evaluate Senvol’s best practices document specifically to check on the adequacy of the written procedures for powder bed AM technology data collection. ORNL conducted an independent evaluation of the SOP document, which, according to Senvol, “details how to generate pedigreed additive manufacturing data,” and then provided its feedback to Senvol. The company added the edits into the technical report, which was then used in the making of 3D prints on a Concept Laser XLine 1000r system in order to see just how successful the report was in collecting the pedigreed data.
A variety of build parameters were used in the test prints, such as laser speed and layer thickness, and the 3D printed parts were subjected to tensile testing. The resulting data was then input into the Senvol ML software suite, which includes a machine learning algorithm that analyzes the relationships between process parameters and material performance. In this case, the data was used to figure out connection between the various print parameters and the resulting tensile strength.
In addition to making sure that Senvol is capturing the necessary data to extract good information, the company and ORNL concluded that the collection of pedigreed data is crucial to gaining a full understanding of AM material quality. You can download the technical report here and check out the project’s results, such as the ultimate tensile strength and elongation of the 3D printed Al-10Si-Mg alloy, for yourself.
via 3DPrint.com | The Voice of 3D Printing / Additive Manufacturing https://3dprint.com
February 22, 2021 at 08:02AM