PROBABILITY OF DETECTION AND VALIDATION FOR COMPUTED TOMOGRAPHY PROCESSES FOR ADDITIVE MANUFACTURING (20-RD-231) Solicitation ID/Procurement Identifier: 80NSSC20C0360 Ultimate Completion Date: Mon Mar 01 18:00:00 GMT 2021
Department of Energy (DOE), is offering the opportunity to enter into a collaboration to further develop and commercialize its novel Machine Learning Informed Control Systems for Extrusion Printing Processes technology to provide optimum control for additive manufacturing.Background: Extrusion-based printing processes can be subdivided into direct-ink writing (DIW) and fused-deposition modeling (FDM).
Develop solid state additive processes for structural repairs of aluminum and steelstructures. Powder heat treatment and laser-assisted cold spray (LACS) will be used to improvethe mechanical properties of cold spray-based repairs of aluminum alloy structures. Solid statestructural repairs using additive friction stir deposition will be assessed for microstructure andmechanical properties.
CT500 LOAD CELL REQUIRED IN THE MML FOR UNDERSTANDING THE FAILURE PROCESSES CAUSED BY DEFECTS INTRODUCED DURING ADDITIVE MANUFACTURING IN METALS. Solicitation ID/Procurement Identifier: NB647000-19-02941 Ultimate Completion Date: Wed Nov 20 18:00:00 GMT 2019
Department of Energy (DOE), is offering the opportunity to enter into a collaboration partnership to further develop and commercialize its novel multimaterial powder bed patterning method for additive manufacturing.Background: Powder-based additive manufacturing processes have historically been limited to printing with a single material.
With AM-PM, calculations are performed faster than similar methods and the technique can be generalized to other additive manufacturing processes.
Advanced manufacturing methods, including additive processes, will be employed for production.Benefits: Increased strength-to-weight ratioEnhanced radiation attenuationReduced transportation weight, facilitating easier deploymentElimination of buckling issuesVersatility in design parameters through multiphysics and multi-objective optimization algorithmsApplications: Mobile micro-nuclear reactorsFission batteriesHigh-radiation environments requiring
