Senvol

Senvol Awarded Program on Delta Qualification

Senvol to demonstrate use of machine learning software to enable additive manufacturing process qualification.

Senvol to Commercialize Siemens AM Data

Senvol working to publish additive manufacturing databases made by Siemens Energy.

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 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…

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.