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Manufacturing USA® is a network of public-private partnerships united to secure U.S. global leadership in advanced manufacturing through large scale collaboration on technology, supply chain, and workforce development. The network includes the U.S
The proliferation of electronics, batteries, and solar panels in recent decades has resulted in a substantial generation of end-of-life (EoL) "high-tech" products. Currently, these products follow a largely linear – extract, make, use, dispose – model, but
Soocheol Yoon, Ya-Shian Li-Baboud, Ann Virts, Roger V. Bostelman, Milli Shah
With increased use of exoskeletons in a variety of fields such as industry, military, and health care, there is a need for measurement standards to understand the effects of exoskeletons on human motion. Optical tracking systems are the current gold
Industrial users can be justifiably hesitant in adopting Condition Monitoring Systems (CMSs) unless evidence indicates benefits from their use. Measuring a CMS's ability to prevent losses is difficult and lacks standard procedures. The increasing
Small- and medium- sized enterprises (SMEs) face exceptional challenges in implementing smart manufacturing solutions. Specifically, SMEs often struggle with understanding advanced technologies well enough to implement them and reap the benefits. In this
Paul Witherell, Brandon Lane, Ho Yeung, Zhuo Yang, Kincho Law
Laser Powder Bed Fusion (LPBF) is one of the most promising forms of Additive Manufacturing (AM), allowing easily customized metal manufactured parts. Industry use is currently limited due to the often unknown and unreliable part quality, which is in large
Paul Witherell, Yan Lu, Ying Liu, David W. Rosen, Timothy Simpson, Charlie Wang
Additive manufacturing (AM) is poised to bring a revolution due to its unique production paradigm. It offers the prospect of mass customization, flexible production, on-demand and decentralized manufacturing. However, a number of challenges stem from not
Vibhor Pandhare, Marcella Miller, Gregory W. Vogl, Jay Lee
In industrial applications, the mechanical wear on ball screw components can lead to a loss of positioning accuracy that reduces the operational reliability and reproducibility of production systems. Existing monitoring solutions are impractical for real
The Robotics and Automation Society's (RAS) standards working groups continue to grow. Our current working groups are pursuing standards and guidelines in the following areas. - Autonomous Robots - Ethically Driven Nudging for Robotic, Intelligent and
Papa Amoah, Joseph J. Kopanski, Yaw S. Obeng, Christopher Sunday, Chukwudi Okoro, Lin You, Dmirty Veksler
In this paper, we present an overview of our current research focus in developing non-destructive metrology for monitoring reliability issues in 3D-integrated electronic systems. We introduce a suite of non-destructive metrologies that can serve as early
Johannes Schulz, William Z. Bernstein, Rafael Radkowski
As industrial internet of things (IoT) concepts and technologies continue to be retro-fitted onto existing manufacturing infrastructure, geospatial considerations, such as asset localization, registration, and tracking, become more critical to ensure
Here, we summarize a panel discussion on the direct ink writing (DIW) of ceramics, organized and moderated by the National Institute of Standards and Technology at the American Ceramic Society's 46th International Conference on Advanced Ceramics and
Boonserm Kulvatunyou, Milos Drobnjakovic, Farhad Ameri, Chris Will, Barry Smith
The Industrial Ontologies Foundry (IOF) has been formed to create a suite of interoperable ontologies that would serve as a foundation for data and information interoperability in all areas of manufacturing. To ensure that the ontologies are developed in a
Shaw C. Feng, Albert T. Jones, Shengyen Li, Mostafa Yakout
Data analytics (DA) and artificial intelligence (AI) have been chosen as the technologies for extracting new knowledge and making better decisions in additive manufacturing (AM) processes. They have been chosen because accurate and complete physics-based
Power outages in the U.S. affect many firms' economic activity and are likely to result in downstream supply chain disruptions. This paper examines the impact of power disturbances in the supply chain for four industries: manufacturing, durable goods
This study examined the effect of natural hazards on manufacturing industry value added and the sensitivity of the results from changes to spatiotemporal resolution of the data. We measured the negative effects of hazards, rather than the net effect. Three
Jim Davis, Stephan Biller, James A. St Pierre, Said Jahanmir
In 2020, the National Science and Technology Council (NSTC) Subcommittee on Advanced Manufacturing and Subcommittee on Machine Learning and Artificial Intelligence articulated cross-agency interest in the value and timeliness of organizing a symposium to
Mark Benedict, Shawn P. Moylan, Souhail Al-Abed, Cindy Ashforth, Y. Kevin Chou, Matthew Di Prima, Alaa Elwany, Michael Gorelik, Astrid Lewis, Todd Luxton, Blake Marshall, William Mullins, Linda Sapochak, Richard Russell, James A. Warren, Douglas Wells
Over the past decade, a consistent theme in enhancing U.S. global competitiveness has been the need for U.S. leadership in critical advanced manufacturing technologies. Additive manufacturing (AM), also known as 3D Printing, has been among those critical
Edwin Schwalbach, Jake Benzing, Vikas Sinha, Todd Butler, Adam Pilchak, Kevin Chaput, Norman Schehl, Reji John, Nik Hrabe
Electron beam powder bed fusion scan strategies for parts or part groupings of various sizes and scan line lengths have been found to inadvertently lead to significant variations in crystallographic texture and mechanical properties for Ti–6Al–4V. This
Digital twin (DT) is an enabling technology to realize smart manufacturing. DT is characterized by the integration between the cyber and physical spaces. It can potentially change the manufacturing landscape and is well-fitted to the additive manufacturing
Michael Hoffman, Eunhye Song, Michael Brundage, Soundar Kumara
When maintenance resources in a manufacturing system are limited, a challenge arises in determining how to allocate these resources among multiple competing maintenance jobs. We formulate this problem as an online prioritization problem using a Markov
Roger Bostelman, Ann Virts, Mili Shah, Soocheol Yoon, YaShian Li-Baboud
A repeatable evaluation of human-exoskeleton kinematics is needed to assess an exoskeleton's impact on worker biomechanics and safety. Standard measurement methods and metrics facilitate technology adoption and effective specification of the exoskeleton's