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Timothy J. Burns, Steven P. Mates, Richard L. Rhorer, Eric P. Whitenton, Debasis Basak
An inverse method is presented for estimating the shear stress in the work material in the region of chip-tool contact along the rake face of the tool during orthogonal machining. The method uses an estimate of the temperature of the work material as it
Two worlds that have operated independentlythe digital and physical worldsare now merging, creating opportunities that will transform many sectors of our society. These new smart systems are based on engineered interacting networks of physical and
Detleff Bergmann, Bernd Bodermann, Harald Bosse, Egbert Buhr, Gaoliang Dai, Ronald G. Dixson, W H?er-Grohne
We report the initial results of a recent bilateral comparison of linewidth or critical dimension (CD) calibrations on photo-mask line features between two national metrology institutes (NMIs): the National Institute of Standards and Technology (NIST) in
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, predictive, diagnostic, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework are based
David J. Lechevalier, Ronay Ak, Steven Hudak, Yung-Tsun T. Lee, Sebti Foufou
Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient. Accomplishing all of them requires knowledge in four separate domains: statistics, data science
Data analytics is increasingly becoming recognized as a valuable set of tools and techniques for improving performance in the manufacturing enterprise. However, data analytics requires data and a lack of useful and usable data has become an impediment to
A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a manufacturing facility, a machine tool needs to stay in good condition for parts production. All
Benjamin Y. Choo, Peter A. Beling, Amy LaViers, Jeremy Marvel, Brian A. Weiss
Adaptive multi-scale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. AM-PHM is characterized by its incorporation of multi-level, hierarchical relationships and PHM information gathered
Gerald Heddy, Umer Huzaifa, Peter A. Beling, Yacov Haimes, Jeremy Marvel, Brian A. Weiss, Amy LaViers
The vision of Smart Manufacturing Systems (SMS) includes collaborative robots that can adapt to a range of scenarios. This vision requires a classification of multiple system behaviors, or sequences of movement, that can achieve the same high-level tasks
Brian A. Weiss, Gregory W. Vogl, Moneer Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders
M Malinowski, Peter A. Beling, Amy LaViers, Jeremy Marvel, Brian A. Weiss
The development of risk analysis, and prognostics and health management (PHM) have developed in a largely independent fashion. However, both fields share a common core goal. They aspire to manage future adverse consequences associated with prospective
David Lechevalier, Seungjun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou
Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to
Smart manufacturing technologies require a cyber-physical infrastructure to collect and analyze data and information across the manufacturing enterprise. This paper describes the design of a product lifecycle test bed concept built on a cyber-physical
Hongliang Shi, Yong Sik Kim, Nicholas G. Dagalakis, Duan Xuechao
This paper presents a flexure pressure sensor fabricated by means of 3D printing. This sensor combined with a biosimulant artifact from National Institute of Standards and Technology (NIST) is used to measure the severity of injuries caused in the case of
Roger V. Bostelman, Tsai H. Hong, Elena R. Messina
U.S. and European safety standards have evolved to protect workers near Automated Guided Vehicles (AGV's). However, only recently performance standards have begun development for AGV's and mobile robots. Lessons can be learned for developing such a
Asa Trainer, Allison Barnard Feeney, Thomas D. Hedberg Jr.
To achieve industry's vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-centric data interoperability for design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the OEM using
A simple electrochemical process for submonolayer deposition of ultrathin catalytic iridum (Ir) films is demonstrated. The process enables effective utilization of one of natures rarest elements while different substrates facilitate the exploration of
Design rules in additive manufacturing (AM) can help ensure manufacturability, which can be viewed as compatibility between designs and the fabrication processes that produce those designs. Additionally, such rules frequently provide direct guidelines or
De-Hao D. Tsai, Yi-Fu Lu, Frank W. DelRio, Tae Joon Cho, Suvajyoti S. Guha, Michael R. Zachariah, Fan Zhang, Andrew J. Allen, Vincent A. Hackley
We report a comprehensive strategy based on implementation of orthogonal measurement techniques to provide critical and verifiable material characteristics for functionalized gold nanoparticles (AuNPs) used in biomedical applications. Thiolated
Gaurav Ameta, Paul Witherell, Robert R. Lipman, Shawn P. Moylan
Additive manufacturing (AM) has increasingly gained attention in the last decade as a versatile manufacturing process for customized products. AM processes can create complex, freeform shapes while also introducing features, such as internal cavities and
Mihaela L. Vlasea, Brandon M. Lane, Felipe F. Lopez, Sergey Mekhontsev, M A. Donmez
Laser powder bed fusion (PBF) is emerging as the most popular additive manufacturing (AM) method for producing metallic components based on the flexibility in accommodating for a wide range of materials with resulting mechanical properties similar to bulk
Brandon M. Lane, Shawn P. Moylan, Eric P. Whitenton, Li Ma
Measurement of the high-temperature melt pool region in the laser powder bed fusion (L-PBF) process is a primary focus of researchers to further understand the dynamic physics of the heating, melting, adhesion, and cooling which define this commercially
The future of manufacturing lies in being able to adapt quickly to changing conditions. From smaller lot sizes, to more customization, to sudden changes in supply chain, the variability that manufacturers face is rapidly increasing. The key to enabling
As the number of users of additive manufacturing (AM) steadily increases, and considering their demand for material and process specifications, the need for standard protocols for round robin studies is increasing accordingly. Researchers at the National