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Projects/Programs

Displaying 26 - 50 of 129

Crystal Plasticity Modeling of Yield Surface Evolution

Completed
A robust multiaxial constitutive law is needed to predict stresses within parts formed from sheet metal to be able to compensate for such phenomena as elastic springback. Ideally, the constitutive law would not need to be "trained" using empirical mechanical property data alone, but would be able to

Cyber Physical Systems and Internet of Things Program

Ongoing
Objective - Enable scalable, dependable design methods and reproducible performance measurement for effective and trustworthy (reliable, safe, secure, resilient and privacy-enhancing) cyber-physical systems and IoT, by means of new measurement science, advanced testing and assurance capabilities and

Cyber-Physical Systems/Internet of Things Testbed

Ongoing
Objective - To develop general design principles useful to all cyber-physical systems testbed developers and the co-simulation community; to develop specific design concepts to guide the development, operation, and evolution of NIST’s IoT/CPS testbed; and to establish a cross-sector IoT/CPS testbed

Cyber-Physical Systems and Internet of Things Foundations

Ongoing
Objective - To provide a common technical and conceptual foundation for CPS and IoT that enables conceptualization, realization and assurance across all domains, including a comprehensive and traceable methodology for meeting all stakeholder concerns throughout any systems engineering process and

Cybersecurity for Smart Manufacturing Systems

Completed
Manufacturers are hesitant to adopt common security technologies, such as encryption and device authentication, due to concern for potential negative performance impacts in their systems. This is exacerbated by a threat environment that has changed dramatically with the appearance of advanced

Data Analytics for Smart Manufacturing Systems

Ongoing
Objective: Develop standards, software tools, methodologies, and guidelines to enable small and medium enterprises to apply data analytics services to improve decision-making and performance in smart manufacturing systems. Technical Idea: Manufacturers need enhanced decision-support tools that would

Data Driven Decision Support for Additive Manufacturing

Completed
Objective To develop and deploy the metrics, models, and best practices for using product definition, advanced analytics, and machine learning methods in additive manufacturing design and process planning to reduce lead times and support first-part-correct goals. Technical Idea Future advancements

Data Integration and Management for Additive Manufacturing

Completed
Objective Data plays the most critical role in linking AM lifecycle and value chain activities and streamlining the AM development process. While the AM data from a single build is essential for establishing part traceability, when methodically collected, the full processing history of thousands of

Data Management and Fusion for AM Industrialization

Ongoing
Objective To develop methods, models, software tools, open data and best practices for data integration, management, and fusion in additive manufacturing to accelerate AM Industrialization. Technical Idea Our technical idea is to enable an integrated, streamlined and effective AM development and

Department of Homeland Security Response Robot Performance Standards

Ongoing
The Intelligent Systems Division of the National Institute of Standards and Technology is conducting an ongoing project, sponsored by the Department of Homeland Security Science and Technology Directorate and the National Institute of Justice, to produce a comprehensive set of standard test methods

Digital Thread for Manufacturing

Ongoing
Purpose and Goals This project will provide research advances in product-definition standardization, conformance testing, and cybersecurity of data assets. Digital thread standards capabilities and infrastructure - Smart connected manufacturing requires the effective communication of the product

Digital Thread for Smart Manufacturing

Completed
Objective: The Digital Thread for Smart Manufacturing Systems project will deliver methods and protocols that extend and complete the digital thread for information running through design, manufacturing and product support processes to integrate smart manufacturing systems. The results of this

I++ DME (Dimensional Measurement Equipment)

Completed
Industry Impact Adoption of I++ DME by a majority of vendors worldwide with compliant apps has been largely achieved due to Strong end user and CMM vendor support through groups such as I++ group, NIST, Dimensional Metrology Standards Consortium, International Association of CMM Manufacturers, and

Electronic Material Characterization

Ongoing
Manufacturing optimized devices that incorporate newly-emerging materials requires predictable performance throughout device lifetimes. Unexpected degradation in device performance, sometimes leading to failure, is often traceable to poor material reliability. Reliability is rooted in the stability

Electron-Solid Interactions

Ongoing
A measuring instrument produces a signal that depends upon the value of the measurand. The value and its uncertainty are inferred from the signal by using a model of their relationship. Erroneous models lead to erroneous inference. The accuracy of SEM (scanning electron microscopy) is limited by

Embodied AI and Data Generation for Robotics

Ongoing
Objective To facilitate the adoption of AI-based robotic approaches in practical manufacturing scenarios by creating test methods that target AI-enabled robotic systems, evaluating the performance of AI-enabled robotic systems, and creating manufacturing-relevant and AI-centric datasets. Technical

Evaluation of 2D and WBG Material Quality Toward Device Reliability

Ongoing
Two-dimensional (2D) and wide band gap (WBG) materials are some of the latest materials classes having the potential to be transformative because of their high carrier mobilities, tunable bandgap, and atomic-scale film thicknesses. Unexpected degradation and failure in device performance is often

Extended Digital Thread

Ongoing
OBJECTIVE: To deliver standards, methods, and tools that improve smart manufacturing efficiency, agility, and reliability, by increasing the quality of information representations across more of the product lifecycle, including design, production, and use of resulting products. WHAT IS THE TECHNICAL

Extreme Atom Probe Tomography

Ongoing
Sub-nanometer-resolved 3-D chemical mapping of any atom in any solid continues to be an imperative goal of materials research. If reduced to practice, it would have profound scientific, engineering, and economic impacts on U.S. industries collectively worth hundreds of billions of dollars. Such

Fundamental Measurements for Metal Additive Manufacturing

Ongoing
Objective To develop and deploy test methods and protocols, standard test artifacts, exemplar data, data processing tools, automation tools, and advanced characterization methods that address the complexity of AM, create robust measurements, and instill confidence in the metrology used in the

Grasping, Manipulation, and Contact Safety Performance of Robotic Systems

Ongoing
Objective To provide performance metrics, test methods, and associated measurement tools to support next-generation robotic systems having human-like dexterity and force control characteristics. Technical Idea The force sensing and compliance capabilities used in collaborative robots to prevent

Hardness Standardization and Measurements

Ongoing
DESCRIPTION Purpose: Provide measurement traceability for the Knoop, Rockwell, and Vickers hardness scales and for coating thickness measurements that are based on magnetic methods. Goals: Harmonization of hardness and coating thickness testing protocols, in pursuit of reduction of measurement

Hierarchical Materials

Ongoing
The STG develops the methods and metrology that will lead to the understanding of the structure-property relationships of hierarchical composites in real medical PPE or protective applications, which heretofore has been lacking. This work establishes in situ monitoring of advanced manufacturing