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Thomas D. Hedberg, Michael E. Sharp, Toby M. Maw, Mostafizur M. Rahman, Swati Jadhav, James J. Whicker, Allison Barnard Feeney, Moneer M. Helu
To better understand and address the challenges faced in linking all stages of a manufacturing and design process, an investigative fabrication process was designed and enacted as part of a collaboration between the National Institute of Standards and
Sylvere Krima, Thomas D. Hedberg Jr., Allison Barnard Feeney
Manufacturing is moving to a digital paradigm where data is produced and consumed faster than ever. Managing this quantity of data is critical to daily operations and requires a permanent access to trustworthy data. Data management is an ever-evolving
Alexander Brodsky, Mohan Krishnamoorthy, Mohomad O. Nachawati, William Z. Bernstein, Daniel A. Menasce
This paper reports on the development of Factory Optima, a web-based system that allows manufacturing process engineers to compose, optimize and perform trade-off analysis of manufacturing and contract service networks based on a reusable repository of
This annual report characterizes US innovation and industrial competitiveness in manufacturing. It includes tracking domestic manufacturing activity and its domestic supply chain in order to develop a quantitative depiction of US manufacturing in the
Berc Kalanyan, Ryan Beams, Michael B. Katz, Albert Davydov, James E. Maslar, Ravindra Kanjolia
Proposed commercial applications using transition metal dichalcogenide (TMD) semiconductors such as MoS2 rely on unique material properties that are only accessible at monolayer to few- layer thickness regimes. Therefore, production methods that lend
Zeid Kootbally, Thomas Kramer, Craig I. Schlenoff, Satyandra K. Gupta
The effort described in this paper attempts to integrate agility aspects in the "Agility Performance of Robotic Systems" (APRS) project, developed at the National Institute of Standards and Technology (NIST). The technical idea for the APRS project is to
Industrial wireless becomes a potential networking solution in many scenarios due to its flexibility and ease of communications in harsh environments. Industrial wireless in gas sensing and air quality monitoring applications is essential when wired
Sanjay Jain, Anantha Narayanan Narayanan, Yung-Tsun Lee
Selecting the right data analytics (DA) approach for an application is rather complex. Obtaining sufficient and right kind of data for evaluating these approaches is a challenge. Simulation models can support this process by generating synthetic data where
This paper discusses the challenges and opportunities surrounding robotics, as faced by the manufacturing industry. The means by which metrology can address these challenges and opportunities are also discussed. Details are given regarding NIST's Robotic
William Harrison, Anthony Downs, Craig I. Schlenoff
The Agile Robotics for Industrial Automation Competition (ARIAC) is an annual simulation-based competition initiated in 2017. The competition challenges teams to design industrial robotic system control code to function in a dynamic environment. Each team
Michael P. Brundage, David J. Lechevalier, Katherine C. Morris
The production stage of a product's life cycle can significantly contribute to its overall environmental impact. Estimates of environmental impact for a product are typically produced using Life Cycle Assessment (LCA) methods. These methods rely on LCI
Seung Hwan Bang, Ronay Ak, Anantha Narayanan Narayanan, Yung-Tsun T. Lee, Hyunbo Cho
Data analytics techniques have been used for numerous manufacturing applications in various areas. A common assumption of data analytics models is that the environment that generates data is stationary, that is, the feature (or label) space or distribution
Stephen R. Geer, Michelle Bernhardt, Edward Garboczi, Justin Whiting, Alkan Donmez
Laser powder bed fusion (LPBF) is an additive manufacturing (AM) process that uses a high-power laser to selectively melt metal powder that has been spread, layer-by-layer, to create parts with highly complex features. Because of the strong influence that
Increasing the flexibility and general-purpose applicability of robots is a longstanding goal. Several avenues of research are addressing these goals, ranging from integration of multiple sensors to allow robots to perceive their surroundings and adapt
Increasing the flexibility and general-purpose applicability of robots is a longstanding goal. Several avenues of research addressing these goals include hand designs, sensing technologies, control algorithms. As part of the manipulation thrust, there has
Guodong Shao, Hasan Latif, Carla Martin, Peter O. Denno
Integration of process control with optimization is critical to Smart Manufacturing (SM). Oftentimes, however, the process control solutions from one vendor do not interoperate with the optimization solutions of another. Incompatibilities among the
Max K. Ferguson, Ronay Ak, Yung-Tsun Lee, Kincho H. Law
Automatic detection of defects in metal castings is a challenging task, owing to the rare occurrence and variation in appearance of defects. However, automatic defect detection systems can lead to significant increases in final product quality
Susana Addo Ntim, Samuel R. Norris, David Goodwin, Jens Breffke, Keana Scott, Li Piin Sung, Treye Thomas, Gregory O. Noonan
Migration evaluation involving nano-enabled food contact materials (FCMs) mostly focus on potential nanoparticle release from new unused products. This may not represent consumer use practices encountered by the FCMs in their lifecycle. In order to
Jeffrey Mahler, Rob Platt, Alberto Rodriguez, Matei Ciocarlie, Aaron Dollar, Renaud Detry, Maximo Roa, Holly A. Yanco, Adam Norton, Joseph Falco, Karl Van Wyk, Elena R. Messina, Jurgen Leitner, Oliver Brock, Odhner Lael, Andrey Kurenkov, Matthew Matl, Ken Goldberg
Automated grasping has a long history of research that is increasing due to interest from industry. One Grand Challenge for robotics is Universal Picking: the ability to robustly grasp a broad variety of objects in diverse environments for applications
Automated industrial workcells are becoming increasingly complex and varied due to greater accessibility of advanced robotic and sensing technologies. Degradation monitoring and diagnostics must advance to reduce the impact of increased system complexity
William Z. Bernstein, Donald E. Libes, David J. Lechevalier
Targeting the improvement of environmental analysis of manufacturing systems, ASTM 3012-16 provides guidelines for formally characterizing manufacturing processes. However, the difficulty that has arisen in the early use of the standard illustrates the
Thurston B. Sexton, Michael P. Brundage, Melinda Hodkiewicz, Thomas Smoker
Maintenance has largely remained a human-knowledge centered activity, with the primary records of maintenance activity being text-based maintenance work orders (MWOs) that attempt to encode the diagnostic processes of technicians. However, the bulk of
Michael Hoffman, Eunhye Song, Michael Brundage, Soundar R. Kumara
Condition-based maintenance involves monitoring the degrading health of machines in a manufacturing system and scheduling maintenance to avoid costly unplanned failures. As compared with preventive maintenance, which maintains machines on a set schedule
The costs of maintenance and the potential effect on maintenance costs from adopting predictive maintenance techniques is not well documented at the national level. A number of data items need to be collected to estimate the costs and losses associated