Senvol’s data-driven machine learning software for additive manufacturing (AM), Senvol ML, is currently being used to assist with a U.S. Air Force program that is a collaboration between Air Force Research Laboratory (AFRL) and Air Force Life Cycle Management Center (AFLCMC) focused on developing methodology for demonstrating airworthiness of multi-laser AM. The equipment being used […]
NIST awards grant to Senvol on additive manufacturing data
The National Institute of Standards and Technology (NIST) announced that it has awarded a grant to Senvol for a project titled “Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics.” Senvol’s work will focus on demonstrating that data analytics can be applied to additive manufacturing (AM) data to establish Process-Structure-Property (PSP) relationships. Senvol ML, […]
AM software analyzes relationships between process parameters and material performance
Senvol announced that it is developing a data-driven machine learning additive manufacturing (AM) software for the U.S. Navy’s Office of Naval Research (ONR). Senvol’s software analyzes the relationships between AM process parameters and material performance. ONR’s goal is to use the software to assist in developing statistically substantiated material properties in hopes of reducing conventional […]
Learning tools for additive manufacturing machine and material selection
Senvol has partnered with America Makes and ASM International to create learning tool exercises for additive manufacturing machine and material selection using the Senvol Database. Both the learning tool exercises and the Senvol Database are online and free to use. To download the learning tool exercises, click here. The learning tool exercises were piloted at […]