LLNL’s novel approach utilizes a number of techniques to improve reconstruction accuracy:
Keywords
- Show all (101)
- Additive Manufacturing (37)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Imaging Systems (8)
- 3D Printing (7)
- Semiconductors (6)
- Optical Switches (4)
- Electric Grid (3)
- Power Electronics (3)
- Sensors (3)
- Computing (2)
- Manufacturing Automation (2)
- MEMS Sensors (2)
- Optical Sensors (2)
- Spectrometers (2)
- Synthesis and Processing (2)
- Manufacturing Simulation (1)
- Volumetric Additive Manufacturing (1)
- (-) Manufacturing Improvements (3)
- (-) Particle Accelerators (2)
- (-) Precision Engineering (2)
The approach is to build a high voltage insulator consisting of two materials: Poly-Ether-Ether-Ketone (“PEEK”) and Machinable Ceramic (“MACOR”). PEEK has a high stress tolerance but cannot withstand high temperatures, while MACOR has high heat tolerance but is difficult to machine and can be brittle. MACOR is used for the plasma-facing surface, while PEEK will handle the stresses and high…
LLNL’s approach is to use their patented Photoconductive Charge Trapping Apparatus (U.S. Patent No. 11,366,401) as the active switch needed to discharge voltage across a vacuum gap in a particle accelerator, like the one described in their other patent (U.S. Patent No.
Recent advancements in additive manufacturing, also called 3D printing, allow precise placement of materials in three dimensions. LLNL researchers have invented mechanical logic gates based on flexures that can be integrated into the microstructure of a micro-architected material through 3D printing. The logic gates can be combined into circuits allowing complex logic operations to be…
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,…
The LLNL method for optimizing as built optical designs uses insights from perturbed optical system theory and reformulates perturbation of optical performance in terms of double Zernikes, which can be calculated analytically rather than by tracing thousands of rays. A new theory of compensation is enabled by the use of double Zernikes which allows the performance degradation of a perturbed…