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(Finding) the Right Stuff
Impressed with all the cool shapes you can build on a 3D printer? What’s even more cool are all the different materials you can use to make them.
AMT Integrates Senvol Database
Integration can help deliver additive manufacturing market insights to the manufacturing technology community.
Senvol Receives Funding from U.S. Navy and U.S. Air Force for Software
Data-driven machine learning software analyzes the relationships between additive manufacturing process parameters and material performance, company says.
Senvol and Oak Ridge National Laboratory Publish Additive Report
Technical report is titled “Collection of High Pedigree AM Data for Data Analysis and Correlation.”
e-Xstream engineering Integrates Senvol Database Into Product R&D
Senvol Database to be available in e-Xstream’s 10X Integrated Computational Materials Engineering solution.
Senvol ML Utilized for U.S. Air Force Multi-laser AM Program
Focus is on qualifying the EOS M400-4, developing baseline mechanical properties and design allowables, and making builds of heat exchangers and hypersonics-relevant parts.
Bassetti and Senvol Sign New Agreement to Support AM Customers
Senvol Database to be available in Bassetti’s TEEXMA for Additive solution.
KEX Knowledge Exchange Integrates Senvol Database Into Technology Monitoring Platform
Senvol and KEX have entered a strategic partnership to enhance the platform’s additive manufacturing near-time technology and applications monitoring service.
(Finding) the Right Stuff
Impressed with all the cool shapes you can build on a 3D printer? What’s even more cool are all the different materials you can use to make them.
Senvol President Elected Chairman of SME’s Additive Manufacturing Community Advisors
SME’s AM Technical Community Advisors serve as the primary resource for guidance to SME and its members on AM technologies.
Senvol Software to Analyze Monitoring Data for Defense Logistics Agency
Senvol and NIST: New Project to Establish AM Process-Structure-Property Relationships
The Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics project goal is to apply data analytics to both empirical and physics-based additive manufacturing data to establish process-structure-property relationships.
Advancing Additive Manufacturing Materials
For the third year, DE has worked with Senvol to share material providers of industrial additive manufacturing (AM) materials from the Senvol Database.
Senvol Analysis Software Reduces Trial and Error of Additive Manufacturing Processes
The Senvol ML project is aimed at reducing the trial-and-error approach to defining AM material-process procedures.
SME Appoints Senvol President  to Additive Manufacturing Advisory Board
Senvol President Zach Simkin to join the Board.
Senvol, America Makes Form Partnership
The collaboration is developing learning tools for AM machine and material selection.



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