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In this paper, we advocate for a more harmonized approach to model development for additive manufacturing (AM) processes, through classification and metamodeling that will support AM process model composability, reusability, and integration. We review
Alexander Brodsky, Mohan Krishnamoorthy, Daniel A. Menasce, Guodong Shao, Sudarsan Rachuri
This paper is focused on decision analytics for smart manufacturing. We consider temporal manufacturing processes with stochastic throughput and inventories. We demonstrate the use of the recently proposed concept of the decision guidance analytics
Recent advances in machine automation and sensing technology offer new opportunities for continuous condition monitoring of an operating machine. This paper describes an intelligent machine monitoring framework that integrates and utilizes data collection
Engineering and enterprise processes overlap in their concerns, for example, coordinating product design and customer relations. Integration of these processes provides more efficient communication and higher quality results than leaving them separated
This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on sustainability to promote the adoption and use of sustainable construction and manufacturing and guide
This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on sustainability to promote the adoption and use of sustainable construction and manufacturing and guide
Duck B. Kim, Paul Witherell, Robert R. Lipman, Shaw C. Feng
Additive Manufacturing (AM) provides great potential for industrial manufacturers who require low volume and functional, highly complex end use products. Given AM's potential, numerous research efforts are underway to reduce the time and improve the
Product Lifecycle Management (PLM) requires robust solutions for representing and integrating product data models. Product data models enable information exchange across different organizations, actors, processes and stages in the product lifecycle. In
Using uniaxial tensile and hardness testing, we evaluated the variability and anisotropy of the mechanical properties of an austenitic stainless steel, UNS S17400, manufactured by an additive process, selective laser melting. Like wrought materials, the
Richard Candell, Keith A. Stouffer, Dhananjay Anand
The National Institute of Standards and Technology (NIST) is developing a cybersecurity testbed for industrial control systems (ICS). The goal of this testbed is to measure the performance of an ICS when instrumented with cybersecurity protections in
Prognostics and health management (PHM) technologies reduce time and costs for maintenance of products or processes through efficient and cost-effective diagnostic and prognostic activities. These activities aim to provide actionable information to enable
This paper has two major goals. First, we present an algorithm for establishing planar datums suitable for a default in tolerancing standards. The algorithm is based on a constrained minimization search based on the L_1 (L1) norm after forming a convex
This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on sustainability to promote the adoption and use of sustainable construction and manufacturing and guide
This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on sustainability to promote the adoption and use of sustainable construction and manufacturing and guide
Boonserm Kulvatunyou, Evan K. Wallace, Nenad Ivezic, Yunsu Lee
One of the characteristics of a smart manufacturing system is the ability to quickly adapt to new and changing requirements. This implies that software and hardware components of the manufacturing system need to be easily composed and recomposed. In
Roger V. Bostelman, William P. Shackleford, Geraldine S. Cheok
Current automated guided vehicle (AGV) technology typically provides material handling flow along single or dual opposing-flow lanes in manufacturing and distribution facilities. An AGV stops for most any obstacle that may be in its path which then stops
In manufacturing, an enormous amount of data, both real and simulation data, is being continuously generated. The appropriate information, if extracted from big data, could provide insights on increasing sustainability, productivity, flexibility, and
Zeid Kootbally, Craig I. Schlenoff, Christopher R. Lawler, Thomas R. Kramer, Satyandra K. Gupta
The effort described in this paper attempts to integrate agility aspects in the "Agility Performance of Robotic Systems" (APRS) project, developed at the National Institute of Standards and Technology (NIST). The new technical idea for the APRS project is
Matthew D. Brubaker, Shannon M. Duff, Todd E. Harvey, Paul T. Blanchard, Alexana Roshko, Aric W. Sanders, Norman A. Sanford
This study presents a technique for obtaining Ga- and N-polar Gallium Nitride nanowire (GaN NW) arrays on non-polar Si (111) substrates by use of polarity-controlled AlN/GaN buffer layers. AlN films are demonstrated to adopt Al-/N-polarity for N-/Al-rich
Current automated guided vehicle (AGV) technology typically provides material handling flow along single or dual opposing-flow lanes in manufacturing and distribution facilities. An AGV stops for most any obstacle that may be in its path which then stops
Additive manufacturing (AM) has the potential to create geometrically complex parts that require a high degree of customization, using less material and producing less waste. Recent studies have shown that AM can be an economically viable option for use by
Despite the existence and interest in additive manufacturing (AM) for many decades, industry adoption of AM technologies has been relatively slow. Recent advances in modeling and simulation of AM processes and materials are providing new insights to help
Afzal A. Godil, Roger Bostelman, William P. Shackleford, Tsai H. Hong, Michael O. Shneier
In this report, we provide an overview of various performance evaluation metrics for object detection and tracking for robot safety applications in smart manufacturing. We present four different types of performance evaluation metrics based on detection