LLNL’s novel approach utilizes a number of techniques to improve reconstruction accuracy:
Keywords
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- Additive Manufacturing (37)
- 3D Printing (7)
- Synthesis and Processing (2)
- Electric Grid (1)
- Manufacturing Simulation (1)
- Material Design (1)
- Microfabrication (1)
- Precision Engineering (1)
- Volumetric Additive Manufacturing (1)
- (-) Manufacturing Improvements (3)
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![A cold-spray chamber is shown during deposition, with the nozzle at the top of the image and a near-full density sample being fabricated in the center. Particles of the brittle thermoelectric bismuth telluride are accelerated to more than 900 meters per second, or almost Mach 3, in inert gas and directed onto a copper surface, laying down the strips that form the basis of a functioning thermoelectric generator to harvest waste heat. Graphic by Jacob Long/LLNL](/sites/default/files/styles/scale_exact_400x400_/public/2021-02/Cold%20Spray_875x500px.jpg?itok=hjM9UrWO)
Versatile Cold Spray (VCS) enables deposition of brittle materials, such as thermoelectrics, magnets, and insulators, while retaining their functional properties. Materials can be deposited on substrates or arbitrary shapes with no requirement to match compositions. The VCS system is low cost, easily portable, and easy to use.
VCS has been developed in a collaboration between Lawrence Livermore…
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![graphic_of_simulation.png graphic_of_simulation](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/graphic_of_simulation.png?itok=eyhMWp8B)
Livermore researchers have developed a method for implementing closed-loop control in extrusion printing processes by means of novel sensing, machine learning, and optimal control algorithms for the optimization of printing parameters and controllability. The system includes a suite of sensors, including cameras, voltage and current meters, scales, etc., that provide in-situ process monitoring…
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![Intensification of laser in simulations and electrons being accelerated](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/intensification%20of%20laser%20in%20simulations%20and%20electrons%20being%20accelerated_875x500px.jpg?itok=bdZS_mHA)
LLNL pioneered the use of tomographic reconstruction to determine the power density of electron beams using profiles of the beam taken at a number of angles. LLNL’s earlier diagnostic consisted of a fixed number of radially oriented sensor slits and required the beam to be circled over them at a fixed known diameter to collect data. The new sensor design incorporates annular slits instead,…
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![multichannel_pyrometer.jpg multichannel_pyrometer](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/multichannel_pyrometer.jpg?itok=x0sCe_BN)
LLNL researchers have designed and tested performance characteristics for a multichannel pyrometer that works in the NIR from 1200 to 2000 nm. A single datapoint without averaging can be acquired in 14 microseconds (sampling rate of 70,000/s). In conjunction with a diamond anvil cell, the system still works down to about 830K.
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![Machine Learning for Monitoring microfluidic microcapsules](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Machine%20Learning%20for%20Monitoring%20microfluidic%20microcapsules%20875_0.jpg?itok=cLdsZh03)
LLNL researchers have developed a system that relies on machine learning to monitor microfluidic devices. The system includes (at least) a microfluidic device, sensor(s), and a local network computer. The system could also include a camera that takes real-time images of channel(s) within an operating microfluidic device. A subset of these images can be used to train/teach a machine learning…