Senvol and ORNL sign research agreement for pedigreed additive manufacturing data generation

Senvol—a USA-based provider of data to help companies implement additive manufacturing (AM)—and the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL), a multi-program science and technology laboratory, have signed a two-year research agreement for pedigreed AM data generation.

The research will evaluate best practices for pedigreed AM data collection using Senvol’s proprietary standard operating procedure (SOP) document, which covers factors such as collecting appropriate geometric information, key processing parameters for the AM technology and key material testing protocols. These factors are critical in terms of understanding true material response, especially when dealing with multivariate analysis in which several of the variables may be linked.

‘The pedigreed data generated during the project will be input into Senvol’s data structure in order to perform preliminary machine learning and data analysis,’ explained Annie Wang, president of Senvol. ‘Senvol is currently evaluating and building advanced computational tools to rapidly evaluate AM components and link processing, microstructure and properties in additively manufactured components. The results of this project will be used to complement physics based models of additive manufacturing systems and therefore lead to more rapid understanding of new materials and faster deployment of the technology.’

‘The importance of understanding the relationship between material properties, machine selection and process parameters is critical for helping industry move from prototypes to industrial parts,’ added Ryan Dehoff, group leader of the Deposition Sciences and Technology Group at ORNL.

This research is supported by the US DOE’s Office of Energy Efficiency and Renewable Energy-Advanced Manufacturing Office (AMO) under the Manufacturing Demonstration Facility (MDF) at ORNL. The AMO supports early stage R&D of new materials and processes that improve USA manufacturing’s energy efficiency as well as platform technologies for manufacturing clean energy products.

Websites: and