Research engineer Brian Giera, PhD, describes how data science techniques help collect and analyze data from advanced manufacturing processes in order to craft meaningful experiments.
Advanced Manufacturing is the use of innovative technologies to create new or existing products. Lawrence Livermore National Laboratory’s advanced manufacturing portfolio can be organized into four main groups: Additive Manufacturing is the process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies. Precision Engineering is the design and fabrication of machines, fixtures, and other structure that have exceptionally low tolerances, are repeatable, and are stable over time. Manufacturing Simulation & Automation comprises technologies that reduce human intervention in manufacturing processes, as well as a set of tools that allows for experimentation and validation of product, process, and system designs & configurations. Manufacturing Improvements are inventions that improve throughput/efficiency, or that reduce cost/waste.
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LLNL developed technology known as Energy Inks has won a best in region award for the Far West region from the Federal Laboratory Consortium for Technology Transfer (FLC). LLNL researchers are supported by the Lab’s Innovation and Partnerships Office staff, particularly business development executive Genaro Mempin, who oversees the commercialization efforts for Energy Inks, and digital assets coordinator Mary Holden-Sanchez, who manages LLNL’s submission process for technology transfer award programs.
Seurat Technologies announced an agreement to develop 59 tons of additively manufactured metal components for Siemens Energy turbines. Seurat’s pioneering approach was originally developed right here at LLNL. The underlying technology for Seurat was created to solve a manufacturing problem in building an actual fusion power plant based on the architecture at the National Ignition Facility (NIF).