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Solar photovoltaics (PVs) are the fastest growing clean energy technology. As the first generation of solar PVs reach the end of their functional lives, it is becoming clear that unless strategies to manage discarded panels are implemented, we could be
Nicholas Derimow, Jake Benzing, David Newton, Chad Beamer, Ping Lu, Frank DelRio, Newell Moser, Orion Kafka, Ryan Fishel, Lucas Koepke, Chris Hadley, Nik Hrabe
The rotating bending fatigue (RBF) behavior (fully reversed, R = -1) of additively manufactured (AM) Ti-6Al-4V alloy produced via laser powder bed fusion (PBF-L) was investigated with respect to different microstructures achieved through novel heat
Benjamin Standfield, Eric Holterfield, Russell Waddell
Among the chief topic areas of Industry 4.0, digital thread technology offers the opportunity for increased productivity, efficiency, and traceability throughout a product's lifecycle. While the basic concept of digital thread is easy to realize by
Greta Babakhanova, Carl Simon Jr., Eugenia Romantseva
Biofabricated tissue-engineered constructs have the potential to transform personalized medicine. However, characterizing these constructs post-fabrication and throughout preclinical use remains challenging. On December 1, 2022, the National Institute of
The solidification behavior and crystallographic texture of 316L austenitic stainless steel builds fabricated via laser-wire directed energy deposition additive manufacturing (AM) were investigated. Shielding gas set-up and build type (single-track vs
Stian Romberg, Paul Roberts, Chad R. Snyder, Anthony Kotula
Simultaneous rheology and conversion measurements of neat and composite epoxy resins reveal that conventional models neither accurately nor fully describe the relationship between rheology and conversion. We find that models predicting thermoset conversion
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
Nicholas Derimow, Madelyn Madrigal-Camacho, Orion Kafka, Jake Benzing, Edward Garboczi, Samuel J. Clark, Suveen Mathaudhu, Nik Hrabe
Titanium alloy (Ti-6Al-4V) is widely used in additive manufacturing (AM) industry. However, as laser powder-bed fusion (PBF-L) additive manufacturing (AM) advances towards reliable production of titanium parts, a thorough understanding of the process
Jenny Martinez, Jenna Wardini, Xueli Zheng, Lauren Moghimi, Jason Rakowsky, Jonathan Means, Huiming Guo, Ivan Kuzmenko, Jan Ilavsky, Fan Zhang, Pratik Dholabhai, Leora Dresselhaus-Marais, William Bowman
Deploying energy storage and carbon capture at scale is hindered by the substantial endothermic penalty of decomposing CaCO3 to CaO and CO2, and the rapid loss of CO2 absorption capacity by CaO sorbent particles due to sintering at the high requisite
In this paper we briefly discuss the evolving concepts of digital economy, digital threads, and product realization (manufacturing) in the digital economy enabled futuristic world. We posit that if we need to become self-sufficient, it is imperative that
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
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