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Alexander Kuan, Kareem Aggour, Shengyen Li, Yan Lu, Luke Mohr, Alex Kitt, Hunter Macdonald
Additive manufacturing (AM) leverages emerging technologies and well-adopted processes to produce near-net-shape products. The advancement of AM technology requires data management tools to collect, store and share information through the product
Fan Zhang, Aaron Johnston-Peck, Lyle E. Levine, Michael Katz, Kil-Won Moon, Maureen E. Williams, Sandra W. Young, Andrew J. Allen, Olaf Borkiewicz, Jan Ilavsky
Additive Manufacturing (AM) technologies offer unprecedented design flexibility but are limited by a lack of understanding of the material microstructure formed under their extreme and transient processing conditions and its subsequent transformation
In many manufacturing applications, autonomous robot action is guided by a perception system integrated with the robot. The quality of the acquired 3D data must be high to ensure smooth and uninterrupted execution of robotic tasks. Unfortunately, many
To advance the additive manufacturing (AM) technologies, R&D projects may evaluate new facilities and different processes that need a scalable data architecture to accommodate the progressing knowledge. This work introduces a data pedigree to enable the
Mehdi Dadfarnia, Serghei Drozdov, Michael Sharp, Jeffrey Herrmann
Industrial Condition Monitoring Systems (CMSs) collect and evaluate system and equipment operations to support control and decision-making. Despite their usefulness, understanding the full implications of their impact presents unique and unexpected
Hakju Oh, Boonserm Kulvatunyou, Albert T. Jones, Tim Finin
Today, businesses rely on numerous information systems to achieve their production goals and improve their global competitiveness. Semantically integrating those systems is essential for businesses to achieve both. To do so, businesses must rely on
Elvin Beach, Kurt D. Benkstein, Krenar Shqau, Christopher Montgomery, Patricia Morris, Stephen Semancik
Microhotplates produced by micromachining processes provide a robust substrate for miniaturized solid-state gas sensors; however, it can be challenging to locally deposit solution-suspended nanomaterials for sensing directly onto these small (≈ 100 µm), 3
Ethan Hollingsworth, Eric Holterman, Allison Barnard Feeney
Designed around Industry 4.0 based digital technology, flexible manufacturing cells are envisioned to comprise a variety of machines capable of peer-to-peer communication, learning, and adaptation with the end goal of creating a standards-based, brand
Laetitia Monnier, William Z. Bernstein, Sebti Foufou
Developing a more automated industrial digital thread is vital to realize the smart manufacturing and Industry 4.0 vision. The digital thread allows for efficient sharing across product lifecycle stages. Current techniques are not robust in relating
Lean manufacturing is based on data collection and analysis that is used toward reducing waste and enabling continuous improvement. However, little research has been done bridging emerging topics of a Circular Economy and Digital Twins to lean
Yeun Park, Paul Witherell, Albert T. Jones, Hyunbo Cho
As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The abundance of data associated with the various observations and measurements taken throughout the
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts that
Gregory W. Vogl, Yongzhi Qu, Reese Eischens, Gregory Corson, Tony Schmitz, Andrew Honeycutt, Jaydeep Karandikar, Scott Smith
Monitoring cutting forces for process control may be challenging because force measurements typically require invasive instrumentation. To remedy this situation, two new methods were recently developed to estimate cutting forces in real time based on the
This report provides a statistical review of the U.S. manufacturing industry. There are three aspects of U.S. manufacturing that are considered: (1) how the U.S. industry compares to other countries, (2) the trends in the domestic industry, and (3) the
Duckbong Kim, Mahdi Bajestani, Guodong Shao, Albert T. Jones, Sang Do Noh
Smart manufacturing has the goal of finding near-optimal, sustainable, and resilient solutions to various manufacturing problems. It is based on a vision that automation would be the future and human involvement needs to be minimized. Current situation is
Jake Benzing, Nicholas Derimow, Orion Kafka, Nik Hrabe, Philipp Schumacher, Don Godfrey, Chad Beamer, Priya Pathare, Jay Carroll, Ping Lu, Isaiah Trujillo, Frank DelRio
This study simplified the heat treatment route and reduced the post-processing burden for laser powder bed fusion IN718 (a nickel-based superalloy). The tailored route retained advantageous microstructures and improved tensile strength when compared to the
Fan Zhang, Russell Maier, Igor Levin, Andrew J. Allen, Jun-Sang Park, Peter Kenesei, Ivan Kuzmenko, Jan Ilavsky, Pete Jemian
The ceramic cold sintering process (CSP) offers an eco-friendly approach to producing fully dense ceramics at low temperatures. However, an incomplete mechanistic understanding hinders its optimization and widespread adoption. In this study, we analyze the
One of the primary barriers for adoption of additive manufacturing (AM) had been the uncertainty in the performance of AM parts due to residual stresses/strains. The rapid melting and solidification which occurs during AM processes result in high residual
David Deisenroth, Sergey Mekhontsev, Wenda Tan, Wenkang Huang
This study investigated the correlation between the keyhole geometry and reflected laser light distribution during laser-based manufacturing processes. An "imaging dome" system was developed to capture the distribution of the reflected laser light on a
Collaborative robot, also called Cobot, with the advantages of being safer and more cost-effective, is playing an important role in factory 4.0. Being more flexible, cobot has been deployed in a wide variety of domains, for example, machine tending
Robots are increasingly being adopted in manufacturing industries and this trend is projected to continue. However, robots like all equipment, degrade once in operation and eventually fail. Yet today's manufacturing systems are highly paced requiring high
Ana Nikolov, Milos Drobnjakovic, Boonserm Kulvatunyou
An ontological perspective to addressing sustainability issues in biomanufacturing on the journey to the circular economy is represented in this pa-per. Even though sustainability goes beyond the environmental dimension from the triple bottom line
Milos Drobnjakovic, Guodong Shao, Ana Nikolov, Boonserm Kulvatunyou, Simon P. Frechette, Vijay Srinivasan
This paper presents a timely opportunity to ontologize a digital twin frame-work for manufacturing using recently published international standards and proposes a collaborative research effort to accomplish this task. The ISO/IEC 21838 series of standards
Leandro Buss Becker, Anthony Downs, Craig I. Schlenoff, Justin Albrecht, Zeid Kootbally, Angelo Ferrando, Rafael Cordoso, Michael Fisher
The "Agile Robotics for Industrial Automation Competition" (ARIAC) is an international robotic competition carried out in a simulated ROS2/Gazebo factory floor. Competitors control a robot, overcoming a range of agility challenges in this simulated