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Piotr A. Domanski, Riccardo Brignoli, J S. Brown, Andrei F. Kazakov, Mark O. McLinden
This research explored the possibilities for refrigerants having low global warming potential (GWP) with a particular focus on high-pressure applications. The search for suitable refrigerants relied on screening of a comprehensive database using filters of
Ndubuisi G. Orji, Yaw S. Obeng, Carlos Beitia, Supika Mashiro, James Moyne
This white paper provides an overview of virtual metrology (VM) and the benefits it can provide, with cost reduction (both capital expenditure and cycle time) being the primary benefit. The white paper also examines some of the issues preventing wider
Brian A. Weiss, Michael E. Sharp, Alexander S. Klinger
Manufacturing systems are becoming increasingly complex as more advanced and emerging technologies are integrated into the factory floor to yield new processes or increase the efficiency of existing processes. As greater complexity is formed across the
Nithyananda B. Kumbla, Shantanu Thakar, Krishnanand N. Kaipa, Jeremy Marvel, Satyandra K. Gupta
Robotic bin picking requires using a perception system to estimate the posture of parts in the bin. The selected singulation plan should be robust with respect to perception uncertainties. If the estimated posture is significantly different from the actual
Zeid Kootbally, Craig I. Schlenoff, Brian Antonishek, Frederick M. Proctor, Thomas Kramer, William Harrison, Satyandra K. Gupta
For the most part, robots perform best in highly structured environments, where objects are in well-known, predictable loca-tions. Another way to describe this is that robots are not considered agile. But, in order for them to be useful to small manu
Craig I. Schlenoff, Stephen B. Balakirsky, Henrik I. Christensen
Today's state-of-the-art robots are capable of sub-millimeter movement accuracy when performing highly repeatable tasks. They perform extremely well in highly structured environments, where objects are in well-known, predictable locations. However, robots
William Z. Bernstein, Thomas D. Hedberg, Moneer M. Helu, Allison Barnard Feeney
Product Lifecycle Management (PLM) systems manage the flow of data about the product and the processes that are used throughout the product's lifecycle so that the right information is delivered at the right time to the right systems. Manufacturing in the
Artificial intelligence (AI) and machine learning (ML) are gaining in popularity across entertainment, commerce, and increasingly in industrial settings. The wide applicability and rapid development options of these algorithms are allowing for concepts and
Exoskeletons are devices that can assist the human wearer's limbs to provide functional, normal or amplified human capabilities. Recent research on exoskeletons has dramatically increased. However, measurements of these devices have yet to show long-term
In the metal cutting industry, power consumption is an important metric in the analysis of energy efficiency since it relates to energy consumption of machine tools. Much of the research has developed predictive models that correlate process planning
With the ever-increasing demand for reconfigurability and modularity in manufacturing, industrial work cells are increasingly integrating newer and more diverse technologies to not only support the production of a wider range of parts, but also ease the
Jeremy A. Marvel, Roger V. Bostelman, Joseph A. Falco
We present a survey of multi-robot assembly applications and methods, and describe trends and general insights into the multi-robot assembly problem for industrial applications. We focus on fixtureless assembly strategies featuring two or more robotic
The ability to calculate rigid-body transformations between arbitrary coordinate systems (i.e., registration) is an invaluable tool in robotics. This effort builds upon previous work by investigating strategies for improving the registration accuracy
Thurston B. Sexton, Michael P. Brundage, Michael L. Hoffman, Katherine C. Morris
One of the main challenges of applying AI to some datasets derives from the datasets themselves being unstructured, unclear, and ambiguous. Furthermore, the insights that are to be gained reflect the quality of the data itself; if the data is skewed, so
We investigate the performance of pose measuring systems which determine an object's pose from measurement of a few fiducial markers attached to the object. Such systems use point-based, rigid body registration to get the orientation matrix. Uncertainty in
Nathan W. Hartman, Jesse Zahner, Thomas D. Hedberg Jr., Allison Barnard Feeney
Industrial practice is in a state of transition, away from the use of drawings towards the use of annotated 3D CAD models as a means of communication. Working as a representation of an object or a system, a model-based product definition (MBD) is used to
William Z. Bernstein, Arun Bala Subramaniyan, Alexander Brodsky, Ian C. Garretson, Karl Haapala, Donald E. Libes, Katherine C. Morris, Rong Pan, Vittaldas Prabhu, Arkopaul Sarkar, Arvind Shankar Raman, Zhenhua Wu
The design of manufacturing systems can see dramatic improvements through the use of digital technologies for modeling and simulation prior to deployment. At the 2017 ASME International Manufacturing Science and Engineering Conference held jointly with the
The purpose of this document is to describe the design and configuration of the NIST Smart Manufacturing Systems Test Bed. Prospective developers, technical-assessment personnel, researchers, and interested end-users are the intended audience of this
Thomas D. Hedberg, Moneer M. Helu, Marcus W. Newrock
The purpose of this document is to describe the requirements specifications for applications and a data repository to distribute manufacturing data. Prospective developers, technical-assessment personnel, and interested end-users are the intended audience
Patrick Hester, Barry Ezell, Andrew Collins, John A. Horst, Kaleen Lawsure
Key Performance Indicators (KPIs) are an essential element of an organization's ability to monitor its strategic health, helping to ensure the strategic goals of the organization are achieved. However, KPI assessment and improvement is often an ad hoc and
Sustainability assessment (SA) has been one of the prime contributors to advanced manufacturing analysis, and it traditionally involves life cycle assessment (LCA) techniques for retrospective and prospective evaluations. One big challenge to reach a
Ronay Ak, Max Ferguson, Yung-Tsun T. Lee, Kincho H. Law
Automatic localization of defects in metal castings is a challenging task, owing to the rare occurrence and variation in appearance of defects. Convolutional neural networks (CNN) have recently shown outstanding performance in both image classification and
This paper exploits the underlying dynamics of a turning process captured in force measurements for online flank wear estimation. We transform the sensor signals into feature vectors using recurrence quantification analysis and then estimate flank wear
Research into advanced manufacturing requires data for analysis. There is limited access to real-world data and a need for more data of varied types and larger quantity. This paper explores the issues, and identifies challenges, and suggests requirements