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Of the austenitic stainless steels, Type 304 has become ubiquitous throughout industry. While our inclinations as a metallurgical community may be to assume that Type 304 and its variants (L, H, N, HN, LN, LHN) have been exhaustively investigated, the
Michael Molnar, Kelley Rogers, Frank Gayle, Susan Ipri-Brown, Mai Tran, Joseph Long, Clifton Ray, Albert Shih, Douglas Thomas
This review of China's Manufacturing Innovation Centers (MICs) describes the status of the country's flagship manufacturing innovation program. At least 33 MICs have been established to date, suggesting that China is within reach of its goal of 40 MICs by
Nicholas Derimow, Joseph Gauspohl, Alec Saville, Jake Benzing, Elisabeth Mansfield, Christopher Gump, Nikolas Hrabe
With the ever-increasing research and development into additive manufacturing (AM) via laser powder bed fusion (PBF-L) of Ti-6Al-4V alloy, there has been numerous efforts to introduce different coatings onto the metal powder feedstock in order to achieve
Aaron Cornelius, Gregory Vogl, Ryan Hall, Yongzhi Qu
The development of intelligent machine tools requires integrating sensors that allow the machine to monitor, diagnose, and control the machining process. However, existing sensors for monitoring tool vibrations are intrusive and difficult to integrate in a
David Deisenroth, Jordan Weaver, Sergey Mekhontsev, Steven Grantham, Shawn P. Moylan
One of key parameters of additive manufacturing by laser powder bed fusion of metal parts (PBF-LB/M) is the power density distribution (PDD) of the process laser beam. This paper describes the methods used to measure the beam PDD, discussing well
Sina Ghadi, Xiaobo Chen, Nicholas Tomasello, Nicholas Derimow, Srikanth Rangarajan, Guangwen Zhou, Scott Schiffres
Assessment of metal powders in powder bed additive manufacturing is crucial, as the quality of the powders significantly impacts the final printed parts. This study introduces a novel technique to characterize metal powders by analyzing changes in their
Creating a reliable indicator to describe the degradation of ball screws remains a challenging task. Current vibration-based prognostic methods are vulnerable to unknown noise or system disturbances. To address this challenge, our study offers a new method
David Deisenroth, Sergey Mekhontsev, Steven Grantham
The advantages of additive manufacturing of metal components through laser-based powder bed fusion of metals (PBF-LB/M) have been increasingly embraced across a variety of industries and applications. But, broader adoption of this manufacturing technology
Reese Eischens, Tao Li, Gregory Vogl, Yi Cai, Yongzhi Qu
Dynamic modeling of mechanical systems is important for the monitoring, diagnostics, control, and prediction of system behaviors. Modeling dynamic system is one of the emerging tasks in scientific machine learning. Neural networks have been used to learn
Qingyu Pan, Fan Zhang, Deepak Vikraman Pillai, Zilong Zhang, Yufeng Zheng, Lang Yuan, Monica Kapoor, John Carsley, Xiaoyuan Lou
In the present work, we studied the grain refinement by adding in situ reactants, pure titanium (Ti) or a combination of Ti and boron (B), and investigated the governing mechanism in Al-Mn-Fe-Si 3104 alloy made by laser direct energy deposition (DED)
Buddhika Hapuwatte, Noah Last, Sami Karsli, Gaurav Aher, Katherine Morris, Vincenzo Ferrero
A circular economy moves from the current linear model of production and consumption, i.e., the take-make-use-dispose model, to one that uses resources efficiently, avoids pollution, and creates triple bottom line (i.e., economic, environmental, and social
The "Additive Construction – The Path to Standardization II" workshop, hosted by the National Institute of Standards and Technology (NIST) and U.S. Army Engineer Research and Development Center (ERDC), brought together key players from the additive
John McGuire, David Sefcik, Loren Minnich, Isabel Baucom, Katrice Lippa
This 2025 edition includes amendments made through the Committee on Laws and Regulations of the NCWM with technical guidance from the Office of Weights and Measures (OWM) of the NIST and input from weights and measures officials and industry
Yan Lu, Boonserm Kulvatunyou, James Jim Wilson, Michael Figura, Josh Ki, David Noller
The continuous digitalization and digital transformation are expanding enterprise information exchange scenarios that span product data, process data sets, and supply chain documents. This paper samples common manufacturing enterprise metadata exchange
Jesus Perez-Cardona, Nehika Mathur, Sidi Deng, Miha Zakotnik, Catalina Oana Tudor, John Sutherland
Closed-loop recycling streams are increasingly taking importance on the development of a sustainable future. Neodymium-Iron-Boron (Nd-Fe-B) permanent magnets are applied in a variety of applications, including direct-drive wind turbines, electric motors
Paul Witherell, Sankaran Mahadevan, Paromita Nath, Arulmurugan Senthilnathan
Variability in the additive manufacturing process and powder material properties affect the microstructure which influences the macro-scale material properties. Systematic quantification and propagation of this uncertainty require numerous process
Nicholas Derimow, Jake Benzing, Jacob Garcia, Zachary Levin, Ping Lu, Newell Moser, Chad Beamer, Frank DelRio, Nikolas Hrabe
The laser powder bed fusion (PBF-L) additive manufacturing (AM) community has dedicated significant efforts into process optimization and control for defect-free Ti-6Al-4V. As defects become less of an issue for PBF-L Ti-6Al-4V, the processing-structure
Alec Saville, Adriana Eres-Castellanos, Andrew Kustas, Levi Van Bastian, Donald Susan, Dale Cillessen, Sven Vogel, Natalie Compton, Kester Clarke, Amy Clarke
Controlling microstructural evolution in metallic additive manufacturing (AM) is difficult, especially in producing refined as-built grains instead of coarse, directional grains. Traditional solutions involve adding inoculants to AM feedstocks, but
Kamyar Raoufi, Karl Haapala, John Sutherland, Fu Zhao, Andres Clarens, Jeremy Rickli, Zhaoyan Fan, Haihong Huang, Yue Wang, Wo Jae Lee, Nehika Mathur, Matthew Triebe, Sai Srinivas Desabathina
Advanced manufacturing is challenging engineering perceptions of how to innovate and compete. The need for manufacturers to rapidly respond to changing requirements and demands; obtain, store, and interpret large volumes of data and information; and
The adoption of Circular Economy (CE) practices is continuing to gain momentum, driven by its potential to promote efficient use of resources, maximize the value of materials and products, and mitigate issues such as resource scarcity, environmental
Istvan David, Guodong Shao, Dawn Tilbury, Claudio Gomes, Bassam Zarkhout
The widespread adoption of digital twins gave rise to emerging systems of interconnected digital twins, often dubbed aggregated or hierarchical digital twins. In such emerging systems, interoperability of digital twins is key in determining the
This document is the triennial strategic plan for the Manufacturing USA Program, as required by the program's authorizing statute. This strategic plan addresses the role of the Manufacturing USA institutes in developing advanced manufacturing technology
Guodong Shao, Deogratias Kibira, Simon P. Frechette
Recently, digital twins are becoming more prevalent in a wide range of industries such as manufacturing, construction, smart city, healthcare, business for various purposes including observing, predicting, optimizing, and controlling. However, because
Nicholas Derimow, Jake Benzing, Howard Joress, Austin McDannald, Ping Lu, Frank DelRio, Newell Moser, Matthew Connolly, Alec Saville, Orion Kafka, Chad Beamer, Ryan Fishel, Chris Hadley, Nikolas Hrabe
This work investigated non-standard HIP cycles for PBF-L Ti-6Al-4V and characterized microstructure and tensile properties to compare between material that originated from the same build. For 920 °C, faster cooling rates (100 °C/min, 2000 °C/min) were