LLNL’s novel approach utilizes a number of techniques to improve reconstruction accuracy:
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This novel AM approach utilizes cavitation bubbles generated within liquid resin by ultrasonic energy that trigger, induce, or catalyze a polymerization process (3D Ultrasound Polymerization). Ultrasound may be generated by piezoelectric transducers or high-power lasers and by modulating the ultrasound wave (frequency and amplitude), the cavitation site could be…
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LLNL’s MVAM method comprises of a microwave applicator array coupled to a time-reversal beam steering algorithm to focus and deposit microwave energy in the feedstock material. The selective focusing of high-power microwave fields results in delivery of localized energy to arbitrary regions in a 3D volume. The localized area in the 3D volume heats up, allowing for the…
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The approach is to combine the techniques of 3D printing aligned carbon fiber composites and melt-3D printing of glasses in a non-obvious manner to allow 3D printing (with controlled microstructure, fiber alignment, complex geometries, and advanced second order composite properties) of a new class of additively manufactured fiber-glass composites. It involves four…
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To get the best of both worlds – the sensitivity of LC-MS with the speed of PS-MS – and a functional substrate that can maintain sample integrity, LLNL researchers looked to 3D printing. They have patented a novel approach to create lattice spray substrates for direct ionization mass spectroscopy using 3D-printing processes.
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LLNL researchers, through careful control over the chemistry, network formation, and crosslink density of the ink formulations as well as introduction of selected additives, have been successful in preparing 3D printable silicone inks with tunable material properties. For DIW (direct in writing) applications, LLNL has a growing IP portfolio around 3D printable silicone…
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LLNL’s method of 3D printing fiber-reinforced composites has two enabling features:
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MBD captures the complete specification of a part in digital form and leverages (at least) the universal STEP file format. MBD has revolutionized manufacturing due to time and cost savings associated with containing all engineering data within a single digital source. LLNL researchers have been able to develop a novel encoding method to transform digital definitions in…
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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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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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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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LLNL has developed a system and method that accomplishes volumetric fabrication by applying computed tomography (CT) techniques in reverse, fabricating structures by exposing a photopolymer resin volume from multiple angles, updating the light field at each angle. The necessary light fields are spatially and/or temporally multiplexed, such that their summed energy dose in a target resin volume…
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Livermore researchers have developed a method of fabricating functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. Particles could contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with…
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LLNL has developed an optically clear iodine-doped resist that increases the mean atomic number of the part. AM parts fabricated with this resist appear radio-opaque due to an increase in the X-ray attenuation by a factor of 10 to 20 times. Optical clarity is required so that the photons can penetrate the liquid to initiate polymerization and radio opacity is required to enable 3D computed…
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LLNL has solved the challenges of depth-resolved parallel TPL by using a temporal focusing technique in addition to the spatial focusing technique used in serial writing systems. We temporally focus the beam (through optical set-up design) so that a sharp Z-plane can be resolved while projecting 2D “light sheets” that cause localized photo-polymerization. This enables printing of complex 3D…
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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…
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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…
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This technology uses AM printing methods applied to explosives materials. But unlike producing explosives parts, the explosive component is added at a low concentration of around 4 to 6 wt. %. This allows for the final form, to be labeled as a non-hazardous material. A suitable matrix (substrate) is selected that ultimately will be non-volatile (reducing improper training on contaminants) and…
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Livermore materials scientists and engineers are designing and building new materials that will open up new spaces on many Ashby material selection charts, such as those for stiffness and density as well as thermal expansion and stiffness. This is being accomplished with unique design algorithms and research into the additive manufacturing techniques of projection microstereolithography, direct…