Senvol and Oak Ridge National Laboratory (ORNL) have published a technical report, following two years of research into 3D printing data generation.

The report, entitled ‘Collection of High Pedigree AM Data for Data Analysis and Correlation’ covers data collected from using a laser powder bed fusion machine with an Al-Si-Mg alloy, Senvol said.

Builds on the 3D printer were completed with varying build parameters, and the samples were subjected to tensile testing, with the data used as an input for Senvol’s machine learning software to determine the correlation between the build parameters and resulting tensile strength.

‘The impact of this project will be significant in helping the additive manufacturing industry understand the necessity of producing pedigree data,’ said Ryan Dehoff, digital manufacturing manager at ORNL.

To read the technical report go here. (pdf)

This story uses material from Senvol, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.