11/16/2017 | 1 MINUTE READ

Senvol, ORNL Project to Focus on AM Data Generation

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The two-year research project will focus on best practices for generating pedigreed additive manufacturing data.

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Senvol and the U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have signed a two-year research agreement focused on pedigreed additive manufacturing data generation. The project will evaluate best practices for data collection using Senvol’s Standard Operating Procedure (SOP) document for generating pedigreed AM data. ORNL and Senvol will investigate data collection of AM material quality and ensure that all required data is captured and extracted during an AM data generation project.

Senvol’s SOP covers collection of geometric information, key processing parameters for the AM technology and key material testing protocols. These are important for understanding material response, especially in multivariate analysis approaches in which several variables may be interlinked, the company says.

The pedigreed data generated during the project will be input into Senvol’s data structure for machine learning and data analysis. The company is currently evaluating and building computational tools to evaluate AM components and link processing, microstructure and properties in additively manufactured components. The results of the project complement physics-based models of AM systems and lead to understanding of new materials and faster deployment of the technology.

The research is supported by DOE’s Office of Energy Efficiency and Renewable Energy-Advanced Manufacturing Office under the Manufacturing Demonstration Facility at ORNL.

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