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Rachael Sexton, Michael Brundage, Alden A. Dima, Michael Sharp
The Manufacturing Science and Engineering Conference (MSEC) in 2020 is the 15th annual conference put on by the Manufacturing Engineering Division (MED) of ASME. MED and ASME MSEC focuses on manufacturing sciences, technology, and applications, including
Saideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey, Yung-Tsun Lee
Recent technological advancements in computing, sensing and communication have led to the development of cyber-physical manufacturing processes, where a computing system monitors the manufacturing process performance in real-time by analyzing sensor data
Standards to represent and manage manufacturing data are proliferating as industry rapidly digitizes. The existing global standards development paradigm for manufacturing data needs to shift to digital tools and workflows that produce machine-readable
Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these "big data," how to
The IEEE Robotics and Automation Society's (RAS) standards study and working groups are strong and growing stronger. As of the time of this publication, we have two published standards, six working groups actively developing future standards, and one study
Paromita Nath, Joseph Olson, Sankaran Mahadevan, Yung-Tsun Lee
This work presents a novel process design optimization framework for additive manufacturing (AM) by integrating physics-informed computational simulation models with experimental observations. The proposed framework is implemented to optimize the process
In this study a feedforward control method for laser powder bed fusion (LPBF) additive manufacturing (AM) process is demonstrated. It minimizes the meltpool variation by updating the scan strategy based on a data-driven predictive meltpool model. A
Jeremy A. Marvel, Shelly Bagchi, Megan L. Zimmerman, Brian Antonishek
We present a comprehensive framework for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing applications. An overview of the challenges that face current- and next-generation collaborative
Moneer M. Helu, Timothy A. Sprock, Daniel Hartenstine, Rishabh Venketesh, William Sobel
Managing manufacturing data remains challenging despite the growth of the Industrial Internet of Things (IIoT). While various standards and technologies enable greater access to data, scaling data processing and distribution can be difficult given the
Carl Simon, Becky Robinson-Zeigler, Michael Yaszemski, Jayesh Doshi, Michael Francis, Sherif Soliman, Lexi Garcia
As the tissue engineering and regenerative medicine (TERM) industry transitions from small-scale development of prototypes for research and design purposes to large-scale production for the clinic there is a need to ensure that products are properly
Manav Vohra, Paromita Nath, Sankaran Mahadevan, Yung-Tsun Lee
A novel approach to surrogate modeling motivated by recent advancements in parameter dimension reduction isproposed. Specifically, the approach aims to speed-up surrogate modeling for mapping multiple input variablesto a field quantity of interest
Teodor I. Vernica, Aaron M. Hanke, William Z. Bernstein
Due to its tremendous potential, Augmented Reality (AR) has experienced a recent surge in adoption and integration within the manufacturing enterprise. While industrial AR has been successfully implemented and shown to have significant benefits in a
The National Institute of Standards and Technology (NIST) hosted the eleventh installment of the Model-Based Enterprise Summit (MBE 2020) on March 31 through April 2, 2020 in Gaithersburg, Maryland. The MBE 2020 witnessed another year-over-year
As Smart Manufacturing becomes more prevalent throughout industry, manufacturers are continuing to look for ways to more efficiently apply advanced data analysis methods to improve their decision processes. One promising area for improving decision making
Michael P. Brundage, Senthil K. Chandrasegaran, Xiaoyu Zhang, Kwan-Liu Ma
Maintenance and error logs for machines in manufacturing organizations are typically written as informal notes by operators or technicians working on the machines. These logs are written using a combination of common language and internally-used
The quality of AM built parts is highly correlated to the melt pool characteristics. Hence melt pool monitoring and control can potentially improve AM part quality. This paper presents a neighboring-effect modeling method (NBEM) that uses scan strategy to
Cybercrime puts America's competitive edge and economic future at risk; however, there is some debate as to the extent that this activity is impacting economic activity. This report examines a selection of the current estimates of U.S. losses due to
Moneer M. Helu, William Sobel, Saigopal Nelaturi, Russell Waddell, Scott Hibbard
Distributed production paradigms have grown in discrete manufacturing as discrete products are increasingly made by global, distributed networks. Current challenges faced by discrete manufacturing, such as increased globalization, market volatility
Joseph A. Falco, Daniel Hemphill, Kenneth E. Kimble, Elena R. Messina, Adam Norton, Rafael F. Ropelato, Holly A. Yanco
This paper describes a set of metrics and supporting benchmarking protocols for determining the performance characteristics of robot end-effectors. In the short-term, these tools are proving useful as a common ground for assessing and comparing end
Kenneth Kimble, Joseph Falco, Elena R. Messina, Karl Van Wyk , Yu Sun, Mizuho Shibata, Wataru Uemura, Yasuyoshi Yokokohji
This paper presents a set of performance metrics, test methods, and associated artifacts to help progress the development and deployment of robotic assembly systems. The designs for three task board artifacts that replicate small part insertions and
Roby Lynn, Moneer Helu, Mukul Sati, Tommy Tucker, Thomas Kurfess
Current industrial practice in automated manufacturing operations relies on low fidelity data transmission methods between computer numerical control (CNC) machine tools and the computer-aided manufacturing (CAM) systems used to program them. The typical
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Segmentation of defects in additive manufacturing is challenging, due to the poor contrast, small sizes and variation in appearance of defects. Automatic segmentation can however provide quality control for additive manufacturing. Over recent years, 3D