Cover Story in Metal Powder Report: Senvol’s Machine Learning Software for Additive Manufacturing

Posted By Senvol on Jul 1, 2019

New York, NY – July 1, 2019 – Metal Powder Report , which is an international magazine published by Elsevier and the powder metallurgy industry’s most authoritative voice, published a Special Feature article on Senvol’s machine learning software for additive manufacturing (AM).

The article, titled “The Importance of Big Data,” focuses on the Senvol ML software and how a “data-driven approach to additive manufacturing (AM) is the way forward to revolutionize this new technology.”

Metal Powder Report’s News and Features Editor Liz Nickels writes:

“The company [Senvol] has also developed machine learning (ML) software, Senvol ML, that helps companies characterize or quality AM materials and processes and develop better substantiated material properties – thus reducing the need for conventional material characterization and testing.”

Nickels continues: “Senvol’s software utilizes what the company calls a data collection protocol to recommend what data, specifically, to generate. By leveraging past data and its machine learning algorithms, the Senvol ML software can help users get the answers that they need with a relatively low amount of data generation required.”

Metal Powder Report covers the powder metallurgy industry worldwide. Each issue carries news and features on technical trends in the manufacture, research and use of metal powders. Metal Powder Report is recognized by parts manufacturers and end-users worldwide for authoritative and high quality reporting and analysis of the international powder metallurgy industry.

The article regarding Senvol can be found in Volume 74, Issue 4, July–August 2019, Pages 181-183. To request access to the full journal article, click here.

To learn more about Senvol ML, click here.

To request beta access to Senvol ML, contact us.

To view more Senvol news stories, click here.