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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
Alec Saville, Jake Benzing, Sven Vogel, Jessica Buckner, Collin Donohoue, Andrew Kustas, Adam Creuziger, Kester Clarke, Amy Clarke
Metallic additive manufacturing (AM) provides a customizable and tailorable manufacturing process for new engineering designs and technologies. The greatest challenge currently facing metallic AM is maintaining control of microstructural evolution during
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance of the fabricated part. X-ray computed tomography (XCT)
Nicholas Derimow, Jake Benzing, Keenan Hanson, Nik Hrabe
A globular α phase recrystallization has been discovered at the surface of net shape electron beam powder-bed fusion (PBF-EB) Ti-6Al-4V alloy parts. This globular surface is the result of typical powder recovery blasting followed by a hot isostatic
Nicholas Derimow, Alejandro Romero, Aldo Rubio, Cesar Terrazas, Newell Moser, Orion Kafka, Jake Benzing, Francisco Medina, Ryan Wicker, Nik Hrabe
In this work, rectangular blocks of electron beam powder-bed fusion (PBF-EB) additively manufactured (AM) Ti-6Al-4V were built, such that a total of 68 mini-tensile test coupons could be extracted for mechanical testing over a range of build height and
John L. Michaloski, Craig I. Schlenoff, Rafael Cardoso, Michael Fisher
The future of robotics foresees autonomous behavior that can complete tasks intelligently, with a focus on adaptability, flexibility, and versatility. In such systems, it is critical for robots to quickly and safely perform an operation. However, such
Nicholas Derimow, Jake Benzing, Orion Kafka, Newell Moser, Priya Pathare, Michael Walker, Frank DelRio, Nik Hrabe
In Part 2 of this paper series, high-throughput tensile testing and characterization of porosity, microstructure, and oxygen content was carried out on Ti-6Al-4V samples that were fabricated via electron beam powder-bed fusion (PBF-EB) to test our
A method is presented to estimate the cutting forces in real time within machine tools for any spindle speed, force profile, tool type, and cutting conditions. Before cutting, a metrology suite and instrumented tool holder are used to induce magnetic
Autonomy is the ability to perform tasks without help. In the case of autonomous robots, obstacles may arise internally like an electrical short or a broken part or externally such as encountering debris. These instances can cause mission interruption or
The frequency response function (FRF) provides an input–output model that describes the system dynamics. Learning the FRF of a mechanical system can facilitate system identification, adaptive control, and condition-based health monitoring. Traditionally
Keith A. Stouffer, Joshua Lubell, Michael Pease, Evan K. Wallace
As supply chains become more complex and the origins of products become harder to discern, efforts are emerging that improve traceability of goods by exchanging traceability data records using blockchain and related technologies. This NIST NCCoE
Omar Aboul-Enein, Roger V. Bostelman, Ya-Shian Li-Baboud, Mili Shah
Mobile manipulators, which consist of a robotic manipulator arm on a vehicular base, enable more flexible and dynamic workflows in manufacturing processes by freeing the manipulator arm from the restriction of working on a single, calibrated workspace. A
Maya Reslan, Noah Last, Nehika Mathur, KC Morris, Vincenzo Ferrero
Realization of a Circular Economy is paramount to solving global challenges in resource scarcity, sustainable manufacturing, and supply chain uncertainty. A Circular Economy (CE) is an economic system hallmarked by linearity reduction, decoupling of
This paper discusses the recent research progress in robotic grasping and manipulation in the light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We provide an overview of past benchmarks and competitions related to the robotics
Dianne L. Poster, C Cameron Miller, Yaw S. Obeng, John J. Kasianowicz, Michael T. Postek, Norman Horn, Troy Cowan, Richard Martinello
The development of an international, precompetitive, collaborative, ultraviolet (UV) research consortium is discussed as an opportunity to lay the groundwork for a new UV commercial industry and the supply chain to support this industry. History has
Michael Powell, Michael Pease, Keith A. Stouffer, CheeYee Tang, Timothy Zimmerman, Chelsea Dean, Kangmin Zheng, John Hoyt, Mary Raguso, Joseph Brule, Aslam Sherule, Matthew Zopf
Today's manufacturing organizations rely on industrial control systems (ICS) to conduct their operations. Increasingly, ICS are facing more frequent, sophisticated cyber attacks—making manufacturing the second-most-targeted industry. Cyber attacks against