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Manufacturing

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Displaying 601 - 625 of 2179

CHALLENGES IN TOLERANCE TRANSFER FOR ADDITIVE MANUFACTURING

September 22, 2016
Author(s)
Gaurav Ameta, Shawn P. Moylan, Paul Witherell
Abstract: From the design point of view, datum features are used to imply design intent of particular function of the part or sequence of assembly of components in a product. Each feature in a part could potentially have different datum reference based on

An analysis of technologies and standards for designing smart manufacturing systems

September 20, 2016
Author(s)
Boonserm Kulvatunyou, Katherine C. Morris, Sangsu Choi, Kiwook Jung
Smart manufacturing is defined by high degrees of automation. Automation, in turn, is defined by clearly defined processes. The use of standards in this environment is not just common place but essential to creating repeatable and reliable systems. As with

Comparison of Registration Methods for Mobile Manipulators

September 15, 2016
Author(s)
Roger V. Bostelman, Roger Eastman, Tsai H. Hong, Omar Aboul-Enein, Steven A. Legowik, Sebti Foufou
Mobile manipulators can be effective, efficient and flexible for automation on the factory floor but will need safety and performance standards for wide adoption. This paper looks at a specific area of performance standards [1] for docking and workpiece

Editorial: Special Issue on Industrial Robot Agility

September 14, 2016
Author(s)
Craig I. Schlenoff, Stephen B. Balakirsky, Murad Kurwa
The robotic systems of tomorrow need to be capable, flexible, and agile. These systems need to perform their duties at least as well as human counterparts, be quickly re-tasked to other operations, and cope with a wide variety of unexpected environmental

An Overview of a Smart Manufacturing System Readiness Assessment

September 5, 2016
Author(s)
Kiwook Jung, Boonserm Kulvatunyou, Sangsu Choi, Michael Brundage
Technologies for creating smart manufacturing systems or factories are becoming increasingly abundant. However, manufacturers, large and small, need to correctly select and prioritize these technology adoptions. In addition, other improvements may be

Identifying uncertainty in laser powder bed fusion additive manufacturing models

September 4, 2016
Author(s)
Felipe F. Lopez, Paul W. Witherell, Brandon M. Lane
As additive manufacturing (AM) matures, models are beginning to take a more prominent stage in design and process planning for AM. A limitation frequently encountered in AM models is a lack of indication about their precision and accuracy. Often overlooked

Virtual Factory Framework for Supporting Production Planning and Control

September 2, 2016
Author(s)
Deogratias Kibira, Guodong Shao
Developing optimal production plans for smart manufacturing systems is challenging if events change dynamically. A virtual factory incorporating engineering tools, simulation, and optimization generates and communicates performance data to guide wise

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)

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

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
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