CONCEPTUAL ARCHITECTURE OF DIGITAL TWIN WITH HUMAN-IN-THE-LOOP -BASED SMART MANUFACTURING

  • Duck Bong Kim
  • , Mahdi Sadeqi Bajestani
  • , Guodong Shao
  • , Albert Jones
  • , Sang Do Noh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a conceptual architecture of digital twin with human-in-the-loop-based smart manufacturing (DH-SM). Our proposed architecture integrates cyber-physical systems with human spaces, where artificial intelligence and human cognition are employed jointly to make informed decisions. This will enable real-time, collaborative decision-making between humans, software, and machines. For example, when evaluating a new product design, information about the product’s physical features, manufacturing requirements, and customer demands must be processed concurrently. Moreover, the DH-SM architecture enables the creation of an immersive environment that allows customers to be effectively involved in the manufacturing process. The DH-SM architecture is well fitted to those relatively new manufacturing processes, such as metal additive manufacturing, since they can benefit from using digital twins, data analytics, and artificial intelligence for monitoring and controlling those processes to support non-contact manufacturing. The proposed DH-SM will enable manufacturers to leverage the existing cyber-physical system and extended reality technologies to generate immersive experiences for end users, operators, managers, and stakeholders. A use case of wire + arc additive manufacturing is discussed to demonstrate the applicability of the proposed architecture. Relevant development and implementation challenges are also discussed.

Original languageEnglish
Title of host publicationAdvanced Manufacturing
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791887608
DOIs
StatePublished - 2023
EventASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023 - New Orleans, United States
Duration: 29 Oct 20232 Nov 2023

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume3

Conference

ConferenceASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023
Country/TerritoryUnited States
CityNew Orleans
Period29/10/232/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Collaborative Decision Making
  • Digital Twin
  • Human-in-the-loop
  • Industrial Metaverse
  • Non-contact Manufacturing
  • Smart Manufacturing

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