LightMAT Capabilities

The LightMAT resource network contains capabilities from the U.S. Department of Energy National Laboratory system. This search function enables you to view and filter these capabilities within LightMAT.
 
Many of the capabilities listed on this page are user facilities managed by the U.S. Department of Energy's Office of Science. Each user facility has established processes for submitting a proposal and gaining access. Visit http://science.energy.gov/user-facilities/user-resources/getting-started for more information.

Capability National Lab Description
Polymer & Composite Material Development and Additive Manufacturing Oak Ridge National Laboratory ORNL is on the forefront of polymer and composite materials research and additive manufacturing (AM) capabilities. The collaboration with the Institute for Advanced Composites Manufacturing...
Transportation and High Volume Composite Materials Manufacturing Oak Ridge National Laboratory ORNL's integrated composite materials manufacturing capability incorporates materials and processing research and development via prototypical parts, components, and system demonstration.
Predictive Engineering Tools for Injection-molded Long-fiber Reinforced Thermoplastic Composites Pacific Northwest National Laboratory PNNL's capability allows for integrated use of state-of-the-art processes and constitutive models to calculate tensile and flexural stiffness properties of injection-molded long-fiber...
Integrated Forming Process Simulations-From Edge Preparation to Stretching and Hole Expansion Pacific Northwest National Laboratory Pacific Northwest National Laboratory provides an integrated manufacturing process simulation capability that can be used to predict the edge formability and hole expansion ratio for polycrystalline...
Sheet Metal Formability Pacific Northwest National Laboratory Forming limit diagram (FLD) is an important tool to ascertain if a given sheet metal can be formed into a particular geometry. Formability of sheet metals can be influenced by material variables (...