Engineering topics

Schraad, Mark William

Publications and source records attributed to Schraad, Mark William.

5 records

DOE OSTI2022

Oppenheimer Science and Energy Leadership Program (OSELP) Software and Computing Strategy for the Future of Weapons Physics Applications [Slides]

Mission drivers at the national level are evolving to accommodate a broadening landscape. The U.S. faces a rapidly evolving, threat-based environment with an associated expansion of national-level priorities. Priorities continue to include all aspects of sustaining the existing, aging stockpile. Now, however, we must also include consideration of options for a future deterrent, including efficacy of the deterrent against new threats (threat assessment and response), capability needs associated with new materials and modern manufacturing and production processes, and efficiency requirements for a modern workflow for weapons design. Executing this complex strategy will come with challenges. We must execute our current mission, while we prepare for future missions and an increasingly uncertain future.

42 ENGINEERING↗

DOE OSTI2018

The Career of Paul P. Whalen at Los Alamos National Laboratory

Paul P. Whalen is truly an extraordinary weapon scientist, having pioneered an unprecedented breadth of significant weapon physics advancements during his sixty years at the Laboratory, and he is renowned within the nuclear weapons community for his expertise in these areas. As described herein in some detail, the disciplined approach that Paul brought to nuclear weapons research pervades the culture of the Los Alamos nuclear weapons community today. It is a major factor in enabling the Laboratory to be viewed as a trusted source of nuclear weapon knowledge, design and expertise.

99 GENERAL AND MISCELLANEOUS↗

DOE OSTI2017

Experimental Physical Sciences Vistas Performance through Science Winter 2017

This issue of Experimental Physical Sciences Vistas focuses on the integrated science that plays a critical role in Los Alamos National Laboratory’s support of the nation’s nuclear deterrent. I hope you will enjoy reading about these accomplishments, opportunities, and challenges.

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗

DOE OSTI2017

Modeling of additive manufacturing processes for metals: Challenges and opportunities

Here, with the technology being developed to manufacture metallic parts using increasingly advanced additive manufacturing processes, a new era has opened up for designing novel structural materials, from designing shapes and complex geometries to controlling the microstructure (alloy composition and morphology). The material properties used within specific structural components are also designable in order to meet specific performance requirements that are not imaginable with traditional metal forming and machining (subtractive) techniques.

36 MATERIALS SCIENCE↗

DOE OSTI2016

Developing Materials Processing to Performance Modeling Capabilities and the Need for Exascale Computing Architectures (and Beyond)

Additive Manufacturing techniques are presenting the Department of Energy and the NNSA Laboratories with new opportunities to consider novel component production and repair processes, and to manufacture materials with tailored response and optimized performance characteristics. Additive Manufacturing technologies already are being applied to primary NNSA mission areas, including Nuclear Weapons. These mission areas are adapting to these new manufacturing methods, because of potential advantages, such as smaller manufacturing footprints, reduced needs for specialized tooling, an ability to embed sensing, novel part repair options, an ability to accommodate complex geometries, and lighter weight materials. To realize the full potential of Additive Manufacturing as a game-changing technology for the NNSA’s national security missions; however, significant progress must be made in several key technical areas. In addition to advances in engineering design, process optimization and automation, and accelerated feedstock design and manufacture, significant progress must be made in modeling and simulation. First and foremost, a more mature understanding of the process-structure-property-performance relationships must be developed. Because Additive Manufacturing processes change the nature of a material’s structure below the engineering scale, new models are required to predict materials response across the spectrum of relevant length scales, from the atomistic to the continuum. New diagnostics will be required to characterize materials response across these scales. And not just models, but advanced algorithms, next-generation codes, and advanced computer architectures will be required to complement the associated modeling activities. Based on preliminary work in each of these areas, a strong argument for the need for Exascale computing architectures can be made, if a legitimate predictive capability is to be developed.

36 MATERIALS SCIENCE↗