Success Stories
Next Generation Additive Manufacturing
Seurat Technologies | Lawerence Livermore National Laboratory
Livermore Lab worked with Seurat Technologies to model a faster laser powder bed manufacturing process and bring it to market.
Impact
Accelerating a Startup in Industry-Scale Metal Printing
Livermore identified process conditions to speed a new company’s lab-to-market timeline
A Promising Technology
Metal Additive Manufacturing (Metal AM) technologies such as Laser Powder Bed Fusion (LPBF) produce precise, lightweight parts required for aircraft, heat exchangers, next-generation automobiles, and other products. A challenge for LPBF is that the printed parts must have high quality – with nearly full density – to meet stringent mechanical property specifications.
Seurat Technologies, a California-based startup, licensed a Livermore-invented metal AM technology in 2015 with the intention of developing and commercializing a high-speed, high-resolution 3D printer to produce metal parts at industrial scale. Since then, Seurat has developed the lasers, optics, and equipment needed to bring the technology to market. Unlike existing LPBF systems, Seurat’s lasers melt relatively large areas of metal powder simultaneously, significantly increasing the speed of the LPBF process. Seurat’s technology provides precise laser control to finely tune local temperatures, minimizing defects and residual stresses in manufactured parts. However, bridging the gap between promising invention and market-ready product required Seurat to demonstrate that its technology could reliably print high-quality, high-density parts.
For a startup, finding a fast path to market readiness is critical. Conducting trial-and-error experiments to identify specific conditions that minimize printing defects is a time-consuming and expensive process. In contrast, simulations using high performance computing (HPC) capabilities efficiently predict the likelihood of defects and the density of printed parts under a range of manufacturing conditions.
Seurat was selected to participate in the DOE-funded High Performance Computing for Manufacturing (HPC4Mfg) Program and apply Livermore’s world-class computing resources and expertise to optimize Seurat’s metal printing technology. For a startup with limited funding, the HPC4Mfg Program presented a path to speed Seurat’s launch into the metal AM market by demonstrating reliability and reducing investor risk.
Closing the Commercialization Gap
Livermore’s researchers set out to determine how defects (pores) formed during laser melting of metal powders. Although common in traditional LPBF processes, liquid spatter—leading to large, irregular pores and defects—was determined not to be an issue for Seurat’s technology. This finding removed one potential barrier to process improvement.
Still, simulations of the startup’s metal printing technology revealed pit formation and areas that would not melt completely, compromising final metal density. Using Livermore’s HPC resources, the team simulated situations in which density might increase. The team reviewed its results and found an unconventional solution for LPBF systems: changing some powder characteristics such as size and spatial distribution yielded high density with few defects and complete powder melting.
High-speed imaging of Seurat’s process in action revealed that predictions made by Livermore’s simulations matched experimental results. Evaluation of the final material’s properties, such as density, confirmed the accuracy of the simulation across a range of process conditions. By using simulations to narrow the field of process improvements that could achieve reliable, high-density parts, Seurat could refine the process by running selective experiments, saving time and resources.
Preparing for Launch
In addition to advancing a startup for the benefit of the manufacturing industry and the U.S. economy, efforts in this HPC4Mfg project may ultimately reduce energy use across the metal manufacturing industry. Seurat’s laser architecture and melting process have been shown to be inherently efficient. More broadly, metal AM saves energy compared to traditional metal manufacturing, as less waste is produced and less feedstock energy is consumed. Additive manufacturing also reduces storage needs by enabling a digital inventory and rapid parts manufacturing as needed.
Following the HPC4Mfg collaborative effort, Seurat’s assets can be devoted to commercialization rather than resource-intensive experimentation. The startup continues to fine tune its business offering for its upcoming product launch.
Your Success Story Awaits
HPC4EI brings together the diverse set of computational skills and supercomputing capabilities of DOE National Laboratories to increase US industry’s energy efficiency and advance competitiveness. Learn about the next opportunity to partner with the superb talent and high performance computing platforms at DOE National Laboratories.
Have questions?
Please email hpc4ei [at] llnl.gov (subject: HPC4EI%20Assistance%20%28Success%20Story%29) (hpc4ei[at]llnl[dot]gov) for further assistance.
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About HPC4EI
High Performance Computing for Energy Innovation (HPC4EI) is funded by the Department of Energy’s Energy Efficiency and
Renewable Energy’s (EERE) Advanced Materials and Manufacturing Technologies Office (AMMTO), Industrial Efficiency and Decarbonization Office (IEDO) and Office of Fossil Energy and Carbon Management (FECM). The HPC4EI program pairs industry engineers and scientists with national laboratory computational experts to solve difficult production and design problems aiming to reduce national energy consumption. Since its inception 2015, the HPC4EI program has funded over 182 projects with participation by 11 different national laboratories. The world-class computational capabilities at the national laboratories are used to address problems in steel and aluminum manufacture, jet turbine design and manufacture, advanced materials for light weighting and high temperature, high corrosion applications, chemical processing and many more topic areas.