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The report does not have an abstract, but the following is the Introduction: The pervasive application of wireless communications is well known. One such application is to an indoor factory environment. This environment creates challenges for reliable
Peter Diemer, Jacori Hayes, Evan Welchman, Rawad Hallani, Sujitra Pookpanratana, Christina Hacker, Curt A. Richter, Timo Thonhauser, Oana Jurchescu
Organic field effect transistor (OFET) performance is dictated by the composition and geometry of the device, as well as the quality of the organic semiconductor (OSC) film, which strongly depends on the purity and structural defects. When present, these
Conrad Bock, Guodong Shao, Kevin W. Lyons, Ronay Ak, KC Morris, Bjoern J. Johansson
Manufacturing standards provide the means for industries to effectively and consistently deploy methodologies and technologies to assess process performance. These assessments set the stage for controlling the manufacturing systems and processes and
Development of manufacturing simulation models usually requires experts with knowledge of multiple areas including manufacturing, modeling, and simulation software. The expertise requirements increase for virtual factory models that include representation
Brian A. Weiss, Philip Freeman, Jay Lee, Radu Pavel
This Special Issue on Smart Manufacturing PHM contains six outstanding technical papers and one communication that collectively present a diverse range of research and practical application topics within the field of Smart Manufacturing PHM.
Brian A. Weiss, Moneer Helu, Gregory W. Vogl, Guixiu Qiao
Manufacturing operations suffer from degradation as equipment and processes are continually used to generate products. The development and integration of monitoring, diagnostic, and prognostic (collectively known as PHM) technologies can enhance
Yung-Tsun T. Lee, Max Ferguson, Kincho H. Law, Jinkyoo Park, Raunak Bhinge
The use of data-driven predictive models is becoming increasingly popular in engineering and manufacturing sectors. This paper discusses the deployment of Gaussian Process Regression (GPR) predictive models for smart manufacturing. A scoring engine is
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
William Z. Bernstein, Mahesh Mani, Katherine C. Morris, Kevin W. Lyons, Bjoern J. Johansson
With recent progress in developing more effective models for representing manufacturing processes, this paper presents an approach towards an open web-based repository for storing manufacturing process information. The repository is envisioned to include
Environmental electron microscopy and Scanning Electron Microscopy (SEM) in liquids are among the most active research areas in modern electron microscopy and spectroscopy. Research interest in these techniques is broad as they are enabling the nanoscale
As Additive Manufacturing (AM) matures as a technology, predictive modeling methods have become increasingly sought after as a means for process planning, monitoring and control. For many, predictive modeling offers the potential to complement, and in some
Magnesium oxide (MgO) is a good candidate for an interface layer in multifunctional metal-oxide nanoscale thin-film heterostructures due to its high breakdown field and compatibility with complex oxides through O-bonding. In this research molecular beam
The NIST Digital Manufacturing Certificate (DMC) Toolkit is a toolkit designed specifically to provide certification -- digital signature using software and hardware certificates, and verification -- of manufacturing related product data. In its first
This is a short article for Scientific Computing Magazine, at the request of the editor, that describes the IEEE 1872 IEEE Standard Ontologies for Robotics and Automation standard.
David Urbina, Jairo Giraldo, Alvaro Cardenas, Junia Valente, Mustafa Faisal, Niles O. Tippenhauer, Justin Ruths, Rick Candell, Heinrik Sandberg
Monitoring the "physics" of control systems to detect attacks is a growing area of research. In its basic form a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements
Craig Blue, Larry Brown, Yoel Fink, Nick Justice, Michael Liehr, Tom McDermott, Ed Morris, Shawn P. Moylan
The Manufacturing USA program is composed of the collective of all of the manufacturing innovation institutes and a supporting Network. The Network serves the Institutes, the Institutes connect through the Network, and the Program serves the Nation.
Ariyan M. Kabir, Joshua D. Langsfeld, Shaurya Shriyam, Vinaichandra S. Rachakonda, Cunbo Zhuang, Krishnanand N. Kaipa, Jeremy Marvel, Satyandra K. Gupta
We describe planning algorithms for cleaning stains on a curved object. Removing the stain may require multiple reorientations of the part and some portions of the stain may require multiple cleaning passes. The experimental setup involves two robot arms
This paper describes the methods used to register a mobile manipulator to a workstation to perform assembly tasks. The nonlinear, least square model of the system is formulated and Ceres Solver[1] is used to compute the position of the robot arm relative
Alec Talin, Dimitry Ruzmetov, Andrei Kolmakov, Kim McKelvey, N Ware, Farid El Gabaly, Bruce Dunn, Henry White
In this paper we demonstrate fully-functional 3D SSLIBs fabricated using materials and thin film deposition methods compatible with semiconductor device processing. These 3D SSLIBs consist of conical or cylindrical Si microcolumns onto which layers
Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri
Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the
We demonstrate an extensible flat-histogram Monte Carlo simulation methodology for studying the adsorption of multicomponent fluids in flexible porous solids. This methodology allows us to easily obtain the complete free energy landscape for the confined
David R. Novotny, Alexandra E. Curtin, Catherine A. Remley, Peter B. Papazian, Jeanne T. Quimby, Richard Candell
we present a channel sounder that can operate without a tether and still maintain an absolute time reference between the source and receiver. Based on a sliding correlator, with synchronized rubidium clocks to generate phase references for the up- and down
Many engineering disciplines that interact with systems engineering use simulation tools to build models based on equations, which are solved to predict physical and informational behavior over time. Both kinds of engineering are concerned with physical
In nascent areas, such as Smart Manufacturing, new collaborative research and development programs (R&D) are frequently formed with the goal to ignite the innovation lifecycle. Yet, clearly formulating common goals and enabling shared understanding of key