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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Solution strategies for integrated distribution, production, and relocation problems arising in modular manufacturing
Not provided.
Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems
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Stable nitride precipitation in additively manufactured nickel superalloys
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Life cycle assessment of ultra-tall wind turbine towers comparing concrete additive manufacturing to conventional manufacturing
Not Available
Interplay of dislocation substructure and elastic strain evolution in additively manufactured Inconel 625
Not provided.
Development of computational framework for titanium alloy phase transformation prediction in laser powder-bed fusion additive manufacturing
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Heat Treatment Effects on Mechanical Properties of Wire Arc Additive Manufactured and Electron Beam Additive Manufactured Ti-6Al-4V.
Abstract not provided.
Microstructural Characterization of Electron Beam Additively Manufactured (EBAM) and Wire Arc Additively Manufactured (WAAM) Ti-6Al-4V
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Developing tools and process controls to manufacture energy-efficient powders for additive manufacturing feedstocks
Traditionally, metal powders have been produced through methods such as grinding, atomization, and electrolysis. In contrast to these techniques, Metal Powder Works, Inc. has pioneered a methodology based on metal cutting. This innovative approach utilizes a vibrating cutting tool to machine metal particles, in the form of chips, from a workpiece. This technique allows for control of powder particle size, morphology, and avoids any thermally induced material changes. This collaboration aims to elucidate metal cutting characteristics and assess performance on tough materials like Inconel alloys. Computational models, using FEA and SPH techniques, will be developed initially, focusing on aluminum alloy (Al 7075- T6) for studying mesh sensitivity, cutting forces, and chip morphology.
Advanced Materials & Manufacturing Technology (AMMT): Development of Additive Manufacturing Agnostic Process Parameter Procedure, 316H Stainless Steel Readiness Level Data Sets, and Machine Maintenance Plan
The University of California, Davis is involved in a project to deploy and enhance an artificial intelligence (AI) system for predicting and preventing plasma disruptions on the DIII D tokamak, under the funding from Department of Energy DE-SC0023500 (title: AI/Deep Learning FRNN Software for Prediction & Real-Time Control of DIII-D Plasma Control System (PCS)). The overarching goal is to demonstrate that real-time, AI-guided intervention can proactively modify the plasma state to avoid or mitigate disruptions—a critical challenge for the future of fusion energy.
Whiskers of Tin-Lead (Sn-Pb) on Reflowed Die Attach Solder Used in the Manufacture of Die Attach Solder Used in the Manufacture of a Laser Diode Array
intent of this presentation is to depict a mechanism for creating damaging electrical shunts on laser diodes: Failure Mechanism. Metal whisker formation from die attach solder.
Transforming Manufacturing: Transitioning from Rapid Prototyping to Hybrid Manufacturing
No abstract available