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Senvol helps U.S. Navy Program to implement a standardized procedure for assessing AM parts for quality acceptance and installation
Machine learning software, Senvol ML™, to be used to predict material performance based on in-situ monitoring data
Senvol has received funding from the U.S. Navy...
Senvol’s machine learning software can accurately predict material performance for Additive Manufacturing. Here is how.
Software provider Senvol recently demonstrated a machine learning approach to material allowables development that was shown to be more flexible, cost-effective, time-effective, and equivalent...
Machine learning software Senvol ML™ used to ensure part performance across different 3D printers
Software company Senvol has received funding from the U.S. Army to lead a program focused on demonstrating that consistent part performance can be achieved...
Senvol receives more funding to enhance its additive manufacturing machine learning software
Senvol, a developer of additive manufacturing machine learning software, has been granted further funding from the U.S. Navy and U.S. Air Force to enhance...
The US Army Research Lab utilizes Senvol’s ML software for 3D printing missile parts
Applying machine learning software to enable rapid design and qualification of additive manufacturing parts with a demonstration on a missile application
Senvol has been awarded...
Senvol additive manufacturing database is now embedded within e-Xstream material data management system
e-Xstream has embedded the Senvol database within its MaterialCenter platform, which means that operators now have access to a wider range of possibilities to...
U.S. Air Force utilizes AM Software Senvol ML to qualify a multi-laser additive manufacturing system
U.S. Air Force utilizes AM Software Senvol ML to develop methodology for multi-laser additive manufacturing program
U.S. Air Force is currently leading a collaboration between...
[DOSSIER]: Understanding “Materials Data Management Systems” in Additive Manufacturing
While they no longer question the potential of AM to be a great tool to meet today’s industry requirements; industries do recognize that process...
How does Machine Learning enable path to rapid development of material property allowables for additive manufacturing ?
Qualification of new 3D printing materials is often mentioned as one of the tedious challenges that hinder the adoption of AM technologies. Depending on...
BASSETTI acquires Additive Manufacturing MES software company 3DTRUST
The BASSETTI group has acquired 3DTRUST that develops an MES (Manufacturing Execution System) dedicated to the Additive Manufacturing field.
As a publisher and integrator of technical software packages...










![[DOSSIER]: Understanding “Materials Data Management Systems” in Additive Manufacturing](https://3dadept.com/wp-content/uploads/2022/06/materials3DP-324x235.jpg)

