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Manufacturing

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Displaying 476 - 500 of 2179

An Examination of National Supply-Chain Flow Time

December 4, 2017
Author(s)
Douglas Thomas, Anand M. Kandaswamy
The US and other national governments invest in research and development to spur competitiveness in their domestic manufacturing industries. However, there are limited studies on identifying the research efforts that will have the largest possible return

Annual Manufacturing Review: 2017

November 29, 2017
Author(s)
Douglas Thomas
The purpose of this report is to characterize US innovation and industrial competitiveness in manufacturing. It includes tracking domestic manufacturing activity and its supply chain in order to develop a quantitative depiction of U.S. manufacturing in the

Characterization for an Industrial Wireless Network in a Gas Sensing Scenario

November 8, 2017
Author(s)
Mohamed Hany, Rick Candell
Employing wireless communications in gas sensing and air quality monitoring is extremely essential in many industrial scenarios where wired networks cannot perform the task safely and effectively. In industrial environments, deploying wireless gas sensing

NIST Channel Sounder Overview and Channel Measurements in Manufacturing Facilities

November 8, 2017
Author(s)
Jeanne T. Quimby, Richard Candell, Catherine A. Remley, David R. Novotny, Joseph Diener, Peter B. Papazian, Alexandra Curtin, Galen H. Koepke
Manufacturers are increasingly choosing wireless platforms to replace wired ones due to their ease of installation, upgrade, and reconfigurability. Reliable and secure real-time performance of wireless platforms is technically challenging because wireless

Overview of an Ontology-based Approach for Kit Building Applications

November 8, 2017
Author(s)
Zeid Kootbally, Thomas Kramer, Craig I. Schlenoff, Satyandra K. Gupta
The Agility Performance of Robotic Systems (APRS) project at the National Institute of Standards and Technology (NIST) is using Web Ontology Language (OWL) ontologies for modeling in a robotic kitting workstation. The new technical idea for the APRS

Effect of the Additive Manufacturing Process on Cutting Forces in Hybrid Manufacturing

November 3, 2017
Author(s)
Michael Gomez, Andrew Honeycutt, Jarred C. Heigel, Tony Schmitz
Powder bed fusion (PBF) enables metal components with complex geometries to be made via additive manufacturing (AM). Disadvantages of AM are rougher surface finish and lower achievable dimensional tolerances compared to computer numerically-controlled (CNC

Model of Mobile Manipulator Performance Measurement using SysML

November 3, 2017
Author(s)
Roger V. Bostelman, Sebti Foufou, Tsai H. Hong, Mili Shah
Test methods for measuring safety and performance of mobile manipulators have yet to be developed. Therefore, potential mobile manipulator users cannot compare one system to another. Systems Modeling Language (SysML) is a general-purpose modeling language

Proceedings of the 2017 Model-Based Enterprise (MBE) Summit

October 12, 2017
Author(s)
Thomas D. Hedberg, Mark G. Carlisle
On April 3-6, 2017, the National Institute of Standards and Technology (NIST) hosted the Model- Based Enterprise (MBE) Summit to identify challenges, research, implementation issues, and les- sons learned in manufacturing and quality assurance where a

Even Small Factories Can Get Smarter

October 1, 2017
Author(s)
Thomas D. Hedberg, Moneer M. Helu
Smart manufacturing uses data to deliver value the way automation, mechanical machinery, and labor did in the past. Yet engineers often worry that transitioning to smarter factories involves navigating a deluge of unfamiliar and possibly expensive

Using Sensor Feedback to Accurately Estimate Part Pose in Gripper

September 28, 2017
Author(s)
Nithyananda Bhat Kumbla, Jeremy Marvel, Satyandra K. Gupta
High volume manufacturing use custom made fixtures during assembly operations. Small volume manufacturing cannot use fixtures in order to keep setup time and production cost low. The performance of the task in fixture-less assemblies depends on the

Simulating a Virtual Machining Model in an Agent-Based Model for Advanced Analytics

September 25, 2017
Author(s)
David J. Lechevalier, Seungjun Shin, Sudarsan Rachuri, Sebti Foufou, Yung-Tsun T. Lee, Abdelaziz Bouras
Monitoring the performance of manufacturing equipment is critical to ensure the efficiency of manufacturing processes. Machine-monitoring data allows measuring manufacturing equipment efficiency. However, acquiring real and useful machine-monitoring data

A DOMAIN DRIVEN APPROACH TO METAMODELING IN ADDITIVE MANUFACTURING

September 6, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
Recent studies have shown advantages to utilizing metamodeling techniques to mimic, analyze, and optimize system input-output relationships in Additive Manufacturing (AM). This paper addresses a key challenge in applying such metamodeling methods, namely

Ionizing Radiation Processing and its Potential in Advancing Biorefining and Nanocellulose Composite Materials Manufacturing

September 1, 2017
Author(s)
Michael T. Postek, Dianne L. Poster, Andras Vladar, Mark S. Driscoll, Jay A. LaVerne, Zios Tsinas, Mohamad Al-Sheikhly
Nanocellulose is a high value material that has gained increasing attention because of its high strength, stiffness, unique photonic and piezoelectric properties, high stability and uniform structure. Through utilization of a biorefinery concept

Conceptual Modeling

August 19, 2017
Author(s)
Conrad E. Bock, Fatma Dandashi, Sanford Friedenthal, Natalie Harrison, Steven Jenkins, Leon McGinnis, Janos Sztipanovits, Adelinde Uhrmacher, Eric Weisel, Lin Zhang
Understanding and developing complex systems requires collaboration between individuals with widely varying expertise. Communication between these individuals is facilitated by conceptual models. Conceptual models are early stage artifacts that integrate

THERMAL PROPERTY MEASUREMENT METHODS AND ANALYSIS FOR AM SOLIDS AND POWDERS

August 9, 2017
Author(s)
Justin G. Whiting, Brandon M. Lane, Kevin Chou, Bo Cheng
Thermal properties of additive manufacturing (AM) solids and precursor materials are important factors for build process and part performance. However, measured thermal properties are not well documented, despite being used extensively in AM modeling and

INVESTIGATING GREY-BOX MODELING FOR PREDICTIVE ANALYTICS IN SMART MANUFACTURING

August 8, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
This paper develops a grey-box modeling approach that combines manufacturing knowledge-based (white-box) models with statistical (black-box) metamodels to improve model reusability and predictability. A white-box model can utilize different types of
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