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Brandon M. Lane, Shawn P. Moylan, Eric P. Whitenton
Due to the poorer surface finish and geometric accuracy of additive manufactured (AM) parts compared to machined parts, it is inevitable that parts fabricated through AM processes will require post-process machining. This problem was identified early by
Roger V. Bostelman, Tsai Hong Hong, Jeremy A. Marvel
This paper describes a concept for measuring the reproducible performance of mobile manipulators to be used for assembly or other similar tasks. An AGV with an onboard robot arm was programmed to repeatedly move to and stop at a novel, reconfigurable
Allison Barnard Feeney, Jamie Stori, Thomas R. Thurman, Kevin G. Brady
This document provides a recommended practice for representing electronic component property data in accordance with ISO 10303-210:2014. It takes into account recent extensions to the EXPRESS schema in that standard and provides illustrations and examples
Direct Digital Manufacturing (DDM) involves fabricating physical objects from a data file using computer-controlled processes with little to no human intervention. It includes Additive Manufacturing (AM), 3D printing, rapid prototyping, etcetera. The
Jamie Stori, Thomas R. Thurman, Craig Lanning, Mike Benda
The purpose of this document is to propose a recommended practice for the representation of schematic symbols and the integration of schematic symbols with functional and physical representations of packaged electronic component models in ISO 10303-210
For many years, the development, creation and use of standards has played a valuable role in the successful commercialization of products, services and processes that address many industries and many applications. So it is with microelectromechanical
Kiwook Jung, Kevin W. Lyons, Swee K. Leong, Hyunbo Cho, Katherine C. Morris
The complexity of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of Smart Manufacturing Systems (SMS). This paper proposes a method for identifying what aspects of a
Mahesh Mani, Brandon M. Lane, M A. Donmez, Shaw C. Feng, Shawn P. Moylan, Ronnie R. Fesperman Jr.
Additive Manufacturing is increasingly used in the development of new products: from conceptual design to functional parts and tooling. However, today, variability in part quality due to inadequate dimensional tolerances, surface roughness, and defects
Michael O. Shneier, Tsai H. Hong, Kamel S. Saidi, William P. Shackleford
Detecting and tracking people is becoming more important in robotic applications because of the increasing demand for collaborative work in which people interact closely with and in the same workspace as robots. New safety standards allow people to work
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
Yong Huang, Ming Leu, Jyoti Mazumder, Alkan Donmez
Additive manufacturing (AM), the process of joining materials to make objects from three-dimensional (3D) model data, usually layer by layer, is distinctly different from and has many advantages over traditional manufacturing processes. Commonly known as
A new methodology for describing the safety of human-robot collaborations is presented. Taking a task-based perspective, a risk assessment of a collaborative robot system safety can be evaluated offline during the initial design stages. This risk
Bryan M. Barnes, Francois R. Goasmat, Martin Y. Sohn, Hui Zhou, Andras Vladar, Richard M. Silver
Patterning imperfections in semiconductor device fabrication may either be noncritical [e.g., line edge roughness (LER)] or critical, such as defects that impact manufacturing yield. As the sizes of the pitches and linewidths decrease in lithography
Brandon M. Lane, Li Ma, Shawn P. Moylan, M A. Donmez, Eric P. Whitenton, Daniel J. Falvey
A major effort of the Measurement Science for Additive Manufacturing Program at NIST is to provide high quality, well-defined temperature measurement of the DMLS process to support and validate multi-physics simulations. However, the dynamic, complex
Duck B. Kim, Seungjun Shin, Guodong Shao, Alexander Brodsky
Life-Cycle Assessment (LCA) methods are widely used to assess the sustainability of manufacturing processes. Although it has several advantages such as systematic estimation and efficiency, it has significant limitations due to lack of functionality to
Low-loss electron (LLE) imaging in the scanning electron microscope (SEM) is based on the collection of energy-filtered backscattered electrons that have undergone minimal elastic interactions within a sample and therefore can carry high-resolution
The National Institute of Standards and Technology (NIST) is developing a cybersecurity testbed for industrial control systems (ICS). The goal of the testbed is to measure the performance of ICS when instrumented with cybersecurity countermeasures in
Parastoo Delgoshaei, Mark Austin, Amanda Pertzborn
This paper describes a new semantic platform infrastructure for model-based systems engineering, requirements traceability, and system simulation and assessment of cyberphysical systems (CPSs). When fully developed this environment will support the
Binyam G. Abeye, Edward J. Barkmeyer Jr., Peter O. Denno
Data exchange transactions for the engineering, procurement, and operation of process equipment depend heavily on product data sheets. Product data sheets are traditional paper forms that serve as the main method of communicating detailed equipment
Manufacturing organizations are able to accumulate large amounts of plant floor production and environmental data due to advances in data collection, communications technology, and use of standards. The challenge has shifted from collecting a sufficient
Development of a data analytics application for manufacturing is best when tested with large sets of data. It is usually difficult for application developers to find access to real manufacturing data streams for testing new data analytics applications
The use of additive manufacturing has increased significantly in previous years. Additive manufacturing is used by multiple industry subsectors, including motor vehicles, aerospace, machinery, electronics, and medical products. Currently, however, additive