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NIST Authors in Bold

Displaying 1101 - 1125 of 4224

Promoting Model-Based Definition to Establish a Complete Product Definition

August 31, 2016

Author(s)

Shawn P. Ruemler, Kyle E. Zimmerman, Nathan W. Hartman, Thomas D. Hedberg Jr., Allison Barnard Feeney

Most of the manufacturing and engineering industries, especially aerospace and defense, are evolving and starting to use 3D models as the central knowledge artifact for product data and product definition, or what is known as Model-based Definition (MBD)

Terminology to Support Manufacturing Process Characterization and Sustainability Assessment

August 27, 2016

Author(s)

Ian Garretson, Mahesh Mani, Kevin W. Lyons, Swee K. Leong, Karl Haapala

Common terminology is essential for accurate communication between researchers, scientists, engineers, and other decision makers. For manufacturing process characterization, it is imperative for the related terminology to be harmonized to enable efficient

Enhancing Robotic Unstructured Bin-Picking Performance by Enabling Remote Human Interventions in Challenging Perception Scenarios

August 24, 2016

Author(s)

Krishnanand N. Kaipa, Akshaya S. Kankanhalli-Nagendra, Nithyananda B. Kumbla, Shaurya Shriyam, Srudeep Somnaath Thevendria-Karthic, Jeremy Marvel, Satyandra K. Gupta

We present an approach that enables a robot to initiate a call to a remote human operator and ask help in resolving automated perception system failures during bin- picking operations. Our approach allows a robot to evaluate the quality of part recognition

Ontology-based laser and thermal metamodels for metal-based additive manufacturing

August 24, 2016

Author(s)

Paul Witherell, Ibrahim Assouroko, Roh Byeong-Min, Timothy Simpson, Soundar Kumara

Additive manufacturing (AM) is creating renewed interest in manufacturing thanks to the freedom it provides to design and innovate. One of the biggest challenges in AM is inadequate repeatability in product quality and reliability of the process for

DIGITAL SOLUTIONS FOR INTEGRATED AND COLLABORATIVE ADDITIVE MANUFACTURING

August 23, 2016

Author(s)

Yan Lu, Paul Witherell, Felipe F. Lopez, Ibrahim Assouroko

Software tools, knowledge of materials and process models, and data provide three pillars on which Additive Manufacturing (AM) lifecycles and value chains can be supported. These pillars leverage efforts dedicated to the development of AM databases, high

Simplified Framework for Robot Coordinate Registration for Manufacturing Applications

August 23, 2016

Author(s)

Jeremy Marvel, Karl Van Wyk

A simplified framework is introduced for automatically and quickly registering the Cartesian coordinate systems of industrial robots to any other arbitrary coordinate system. This framework includes both explicit and implicit (sensor-based) registration

USING INDUSTRY FOCUS GROUPS AND LITERATURE REVIEW TO IDENTIFY CHALLENGES IN SUSTAINABLE ASSESSMENT THEORY AND PRACTICE

August 23, 2016

Author(s)

Mahesh Mani, Karl Haapala, Matteo Smullin, KC Morris

The bottom up demand from consumers for more sustainable products, and the top down need to comply with government regulations motivates manufacturers to adopt tools and methods to evaluate their operations for opportunities to reduce environmental impact

Enabling Smart Manufacturing Technologies for Decision-Making Support

August 21, 2016

Author(s)

Moneer M. Helu, Don E. Libes, Joshua Lubell, Kevin W. Lyons, Katherine C. Morris

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and

Investigating predictive metamodeling for additive manufacturing

August 21, 2016

Author(s)

Zhuo Yang, Douglas Eddy, Sundar Krishnamurty, Ian Grosse, Peter O. Denno, Felipe F. Lopez

Additive manufacturing processes offer significant commercial advantages due to unique and advanced process capabilities. Production of metal parts can involve trial and error. This is often due to limited understanding of variability in properties and the

On architecting and composing engineering information services to enable smart manufacturing

August 19, 2016

Author(s)

Boonserm Kulvatunyou, Nenad Ivezic, Vijay Srinivasan

Engineering information systems play an important role in the current era of digitization of manufacturing, which is also known as smart manufacturing. Traditionally, these engineering information systems spanned the lifecycle of a product by providing

Towards Understanding Early Failures Behavior during Device Burn-In: Broadband RF Monitoring of Atomistic Changes in Materials

August 18, 2016

Author(s)

Yaw S. Obeng, Chukwudi A. Okoro, Papa K. Amoah, Victor H. Vartanian

In this paper, we attempt to understand the physico-chemical changes that occur in devices during device burn-in. We discuss the use of low frequency dielectric spectroscopy to detect, characterize and monitor changes in electrical defects present in the

Characterization of Feedstock in the Powder Bed Fusion Process: Sources of Variation in Particle Size Distribution and the Factors that Influence them

August 10, 2016

Author(s)

Justin G. Whiting, Jason Fox

Substantial efforts have been placed on characterizing and modeling additive manufacturing (AM) processes. The wide scope of work already done has focused on the effects of process parameters such as laser power, hatch spacing, scan speed and strategy, and

Design, Developments, and Results from the NIST Additive Manufacturing Metrology Testbed (AMMT)

August 10, 2016

Author(s)

Brandon M. Lane, Sergey Mekhontsev, Steven E. Grantham, Mihaela Vlasea, Justin G. Whiting, Ho Yeung, Jason C. Fox, Clarence J. Zarobila, Jorge E. Neira, Michael L. McGlauflin, Leonard M. Hanssen, Shawn P. Moylan, M A. Donmez, Joseph P. Rice

NIST is developing a facility titled the Additive Manufacturing Metrology Testbed that will enable advanced research into monitoring, controls, process development, and temperature measurement for laser powder bed fusion additive manufacturing and similar

Laser Path Planning and Power Control Strategies for Powder Bed Fusion Systems

August 9, 2016

Author(s)

Ho Yeung, Jorge Neira, Brandon Lane, Jason Fox, Felipe F. Lopez

In laser powder bed fusion additive manufacturing process, laser scan path, velocity, and power are some of the most important parameters affecting the build quality. Control strategies for laser path and power are implemented and tested on a prototype

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