Anaheim Marriott
Anaheim, California, United States
26 - 30 April 2020
Conference SSN09
Smart Structures and NDE for Industry 4.0 and Smart Cities
Important
Dates
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

Conference
Committee
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Conference Chair
  • Kerrie Gath, Ford Motor Co. (United States)

Conference Co-Chair
Program Committee
Program Committee continued...
  • Zheng Liu, The Univ. of British Columbia Okanagan (Canada)
  • Theodore E. Matikas, Univ. of Ioannina (Greece)
  • Geoffrey P. McKnight, HRL Labs., LLC (United States)
  • Tobias Melz, Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit (Germany)
  • Michele Meo, Univ. of Bath (United Kingdom)
  • Alexander Michaelis, Fraunhofer-IKTS (Germany)
  • Bernd Michel, Fraunhofer-Institut für Elektronische Nanosysteme (Germany)
  • Pramita Mitra, Ford Motor Co. (United States)
  • Christopher Niezrecki, Univ. of Massachusetts Lowell (United States)
  • Piotr Omenzetter, Univ. of Aberdeen (United Kingdom)
  • Gyuhae Park, Chonnam National Univ. (Korea, Republic of)
  • Kara J. Peters, North Carolina State Univ. (United States)
  • W. Lance Richards, Armstrong Flight Research Ctr. (United States)
  • Janet M. Sater, Institute for Defense Analyses (United States)
  • Stefano Sfarra, Univ. degli Studi dell'Aquila (Italy)
  • Tadeusz Stepinski, AGH Univ. of Science and Technology (Poland)
  • Bernd Valeske, Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP (Germany)
  • Edward V. White, The Boeing Co. (United States)
  • Mark R. Woike, NASA Glenn Research Ctr. (United States)
  • H. Felix Wu, U.S. Dept. of Energy (United States)
  • Christian Wunderlich, Fraunhofer-IKTS (Germany)
  • Dong-Jin Yoon, Korea Research Institute of Standards and Science (Korea, Republic of)
  • Lingyu Yu, Univ. of South Carolina (United States)

Call for
Papers
“Industry 4.0”, “Smart Factory”, and “factory of tomorrow” are all terms used to indicate a transition toward a smart, networked, and autonomous industrial ecosystem. We are in a quickly evolving industrial revolution that is made possible by the increasing number of ”Internet of Things” devices for manufacturing, large data acquisition, energy storage, and cloud-based optimized planning and communication. This new machine to machine ecosystem is resulting in an increased efficiency in manufacturing and logistics. Industrial machinery infrastructure equipped with smart sensors, actuators, and processors is enabling the monitoring and optimizing of manufacturing facilities with a limited need for human intervention.

Simultaneously, there is a paradigm shift in the way components are being manufactured and designed. Advances in additive manufacturing, including new advances in printer operation and novel materials designed for additive technologies, are enabling a plethora of new applications of embedded smart materials and structures. As additive manufacturing is incorporated into current manufacturing ecosystems, the design methodologies will need to evolve at an accelerated rate. Utilization of neural networks is one potential avenue. Structural health monitoring (SHM) and nondestructive evaluation (NDE) devices will be incorporated as part of the initial design of a component and manufactured as one with multimaterial printers. The component behavior can be continuously monitored to optimize maintenance and improve the design. Incorporating IoT with embedded smart sensors, processors, and memory modules allows real time information sharing across systems and networks resulting in increased efficiency, economic, and environmental benefits.

Additionally, cities are utilizing IoT devices to digitally transform infrastructure in order to improve environmental, financial, and social aspects of urban life by harnessing data from vast network of connected cameras, vehicles, and smart infrastructure. In turn, this infrastructure transformation is driving significant technology investment and furthering the advancement of smart materials for sensors in SHM and NDE. The integration of information and communication technology with physical devices connected to the Internet of things for networking to optimize the efficiency of city operations and services and connect to citizens. The machine to machine ecosystem will continue to expand throughout our cities using the internet for connecting us through our devices and furthering the use of NDE, SHM, blockchain, neural networks, AI, and, perhaps most importantly, cybersecurity.

Major topics of interest are:
  • sensors and actuation device integration for smart and autonomous manufacturing
  • embedded nano and micro sensors for analysis of structures (SHM)
  • multifunctional materials utilized in NDE and SHM
  • data collection from embedded sensors for NDE and SHM
  • application of the digital twin
  • cloud-based data integration, communication, and planning
  • additive manufacturing as an enabler for sensor integration
  • big data management and processing
  • real time monitoring of the smart factory systems and subsystems
  • enhancing NDE and SHM for cybersecurity
  • blockchain for advanced manufacturing
  • application of neural networks for design
  • sensors, adaptive structures, and artificial intelligence
  • smart city and intelligent transportation ecosystem enablers
  • new transportation concepts supporting a reduced carbon footprint.
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