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Displaying 1 - 25 of 134

Towards a Digital Twin of a Robot Workcell: Standards and Methods

October 28, 2024
Author(s)
Deogratias Kibira, Guodong Shao, Rishabh Venketesh
Digital twins are poised to improve the way products are designed, manufactured, and managed throughout their life cycle. However, implementing digital twins for small and medium manufacturers (SMM) has been a challenge mainly due to lack of resources and

Digital Twins for Advanced Manufacturing: The Standardized Approach

October 26, 2024
Author(s)
Guodong Shao, Deogratias Kibira, Simon P. Frechette
Recently, digital twins are becoming more prevalent in a wide range of industries such as manufacturing, construction, smart city, healthcare, business for various purposes including observing, predicting, optimizing, and controlling. However, because

Building a Digital Twin of a CNC Machine Tool

April 12, 2024
Author(s)
Deogratias Kibira, Guodong Shao, Rishabh Venketesh, Matthew Triebe
Developing digital twins for manufacturing applications is challenging due to insufficient modeling frameworks and standardized procedures. As a result, the number of successful digital twin implementations has not caught up with the increasing literature

Integrating Dynamic Digital Twins: Enabling Real-Time Connectivity for IoT and Virtual Reality

April 12, 2024
Author(s)
Lejla Erdal, Ammar Gubartalla, Paulo Victor Lopes, Huizhong Cao, Guodong Shao, Per Lonnehed, Henri Putto, Abbe Ahmed, Sven Ekered, Bjorn Johansson
As Industry 4.0 technology is still evolving, research and implementation gaps due to issues such as costs, security, and lack of domain expertise for enabling Digital Twins and supportive technology need to be bridged. This paper proposes a practical

Data Requirements for a Digital Twin of a Robot Workcell

February 1, 2024
Author(s)
Deogratias Kibira, Guodong Shao
The applications of digital twins continue to grow with the volume and variety of data collected. These data support the modeling of function, behavior, and structure of a physical element. However, successfully building a digital twin requires data

Layered Security Guidance for Data Asset Management in Additive Manufacturing

November 23, 2023
Author(s)
Fahad Milaat, Joshua Lubell
Manufacturing industries are increasingly adopting additive manufacturing (AM) technologies to produce functional parts in critical systems. However, the inherent complexity of both AM designs and AM processes render them attractive targets for cyber

Improving Fitting CAD to 3D Point Cloud Acquired with Line-of-Sight Sensor

November 7, 2023
Author(s)
Marek Franaszek, Prem Rachakonda, Kamel S. Saidi
Due to self-occlusions in 3D point clouds acquired with line-of-sight sensors, an incomplete representation of an object's surface is used in fitting a CAD (computer-aided design) model to the data. For certain types of object geometry, CAD pose fitted

Digital Twin Core Conceptual Models and Services

November 3, 2023
Author(s)
Shi-Wan Lin, Kym Watson, Guodong Shao, Ljiljana Stojanovic, Bassam Zarkout
To improve operational efficiency and enhance competitiveness in business, organizations are broadly undergoing digital transformation. As a foundation for digital transformation, digital twins enable system operators to dynamically represent, diagnose

Physical Component Libraries for SysPhS Modeling and Simulation in Manufacturing

October 10, 2023
Author(s)
Charles Manion, Conrad Bock, Raphael Barbau
Computer-interpretable representations of system structure and behavior are at the center of developing today's complex systems. Systems engineers create and review these representations using graphical languages and information models that capture

Design and Implementation of a Closed-Loop Mobile Manipulator Control System

July 28, 2023
Author(s)
Omar Aboul-Enein, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which integrate a robotic manipulator with an automatic--autonomous mobile base, have the potential to augment automation by combining the capability of navigation with complex manipulation to support unstructured and dynamic

Standards as Enablers for a Circular Economy

June 30, 2023
Author(s)
KC Morris, Vincenzo Ferrero, Buddhika Hapuwatte, Noah Last, Nehika Mathur
A successful transition to a circular economy (CE) will require global participation, but the path to that transition will follow many unique routes depending on local situations. The transition must have rigorous technical underpinnings and well-conceived

Current challenges and recent advances on the path towards continuous biomanufacturing

June 21, 2023
Author(s)
Boonserm Kulvatunyou, Milos Drobnjakovic, Nenad Ivezic, Vijay Srinivasan, Roger Hart
Continuous biopharmaceutical manufacturing is currently a field of intense research due to its potential to make the entire production process more optimal for the modern, ever-evolving biopharmaceutical market. Compared to traditional batch manufacturing

BUILDING A DIGITAL TWIN OF AN AUTOMATED ROBOT WORKCELL

May 26, 2023
Author(s)
Deogratias Kibira, Guodong Shao, Rishabh Venketesh
Building a digital twin of a manufacturing system can positively impact its performance with respect to productivity, energy consumption, product quality, and cost. However, leveraging available methods and tools to build a digital twin has been a

A Methodology for Digital Twins of Product Lifecycle Supported by Digital Thread

February 8, 2023
Author(s)
Laetitia Monnier, Guodong Shao, Sebti Foufou
The technological advancement has led to the transition of manufacturing industries to Smart Manufacturing and Industry 4.0. Promising concepts such as Digital Twin and Digital Thread could help speed up the transition. One of the benefits of using digital

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

December 30, 2022
Author(s)
Athanasios Dimitriadis, Efstratios Lontzetidis, Boonserm Kulvatunyou, Nenad Ivezic, Dimitris Gritzalis, Ioannis Mavridis
Traditional attack detection approaches utilize predefined databases of known signatures about already-seen tools and malicious activities observed in past cyber-attacks to detect future attacks. More sophisticated approaches apply machine learning to
Displaying 1 - 25 of 134