News


Chicago, IL – September 14, 2021 – Senvol President Annie Wang spoke earlier today at the annual RAPID + TCT Conference. The presentation, titled “Efficient Process Parameter Optimization Using Machine Learning,” focused on multiple case studies with Fortune 100 automotive company BMW. The case studies utilized Senvol’s additive manufacturing (AM) machine learning software, Senvol ML. BMW has been using AM for more than 30...

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New York, NY – July 1, 2021 – 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), Senvol ML, and its use across various U.S. Department of Defense (DoD) programs. The article, titled “The return of the king?,” focuses on the Senvol...

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New York, NY – March 8, 2021 – Senvol has publicly announced that it has received further funding from the U.S. Navy and U.S. Air Force to develop additional capabilities for its additive manufacturing (AM) machine learning software, Senvol ML. Funding from the U.S. Navy is being provided by the Office of Naval Research (ONR), Naval Sea Systems Command (NAVSEA), and Naval Air Systems Command (NAVAIR). Funding from the U.S. Air Force...

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Oak Ridge, TN – February 8, 2021 – Senvol and the U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have published a technical report titled “Collection of High Pedigree AM Data for Data Analysis and Correlation.” The findings of the report stem from a two-year cooperative research and development agreement focused on pedigreed additive manufacturing (AM) data generation. Senvol worked with ORNL to evaluate and...

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New York, NY – November 18, 2020 – Senvol has been awarded a contract with the United States Army Research Laboratory (ARL) to apply its machine learning software, Senvol ML, to enable the rapid design and qualification of additive manufacturing (AM) parts. As part of the program, Senvol will develop a qualification plan for AM that leverages machine learning (ML) algorithms. The qualification plan will be flexible (i.e. can be...

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Luxembourg, Belgium – July 17, 2020 – e-Xstream engineering, part of Hexagon’s Manufacturing Intelligence division, has added the Senvol Database, the most comprehensive database of additive manufacturing materials and machines on the market, to its 10X Integrated Computational Materials Engineering (ICME) solution, making it easier for manufacturers to shortlist and evaluate how the latest additive...

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