Seminario
(La partecipazione consente l’acquisizione di 3 CFU per ulteriori conoscenze)

Nell'ambito delle attività formative del Corso di Laurea Magistrale in Ingegneria Meccanica per la Progettazione e la Produzione

Digital Twin implementation for near real-time monitoring of human-based production tasks

Il corso, promosso per gli aspetti didattici dal Prof. Enrico Armentani, e supervisionato per le finalità scientifiche dalla Prof.ssa Liberatina Carmela Santillo, avrà inizio martedì 3 marzo 2020 e si articolerà in quattro lezioni, della durata di quattro ore e trenta minuti ciascuna, secondo il seguente calendario:

  • Martedì 3 marzo 2020 8:30 13:00
  • Giovedì 5 marzo 2020 8:30 13:00
  • Martedì 10 marzo 2020 8:30 13:00
  • Venerdì 13 marzo 2020 8:30 13:00

Le lezioni si terranno presso l’Aula Malquori del Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, sito in P.le V. Tecchio. Possibili cambiamenti di aula, in dipendenza del numero dei partecipanti, verrà comunicato tempestivamente.

Al termine del corso è prevista la verifica finale per l’acquisizione di 3 CFU.

Per motivi organizzativi, i dottorandi interessati a partecipare sono invitati ad inoltrare un cortese cenno di adesione al Prof. Enrico Armentani (This email address is being protected from spambots. You need JavaScript enabled to view it.) e/o al Prof. Giuseppe Converso (This email address is being protected from spambots. You need JavaScript enabled to view it.) e/o al Dr. Alessandro Greco (This email address is being protected from spambots. You need JavaScript enabled to view it.). I medesimi indirizzi potranno, inoltre, essere utilizzati per ulteriori informazioni eventualmente necessarie agli interessati.

Presentation

In the era of Industry 4.0, the approach to product and production process design is evolving and the use of numerical models allows validating the design solutions without realizing a high number of physical prototypes, according to Digital Manufacturing principles.
The design approach is becoming human-centered and, within this context, production ergonomics can be considered a design parameter. The introduction of the risk evaluation since the design phase and the development of simulation techniques allows realizing predictive models of the ergonomic performance, supporting the design of safe working environment.
The key for setting up a predictive model of systems performance is the Digital Twin (DT), the digital profile of a real product or manufacturing process used to predict the performance characteristics of the physical counterpart. The ability to create an evolutionary profile of the real model in the digital world can provide important information on the performance of the system, leading to interventions in the physical world, such as a change in product design or production process.
For humans, data transferred to the DT can be collected by wearable devices, such as motion tracking systems, surface electromyography (sEMG) electrodes, sensors or platforms of force and others.
The proposed course discusses the problem associated to human performance in a manufacturing working environment. Most of the attention will be focused on the evaluation of risk due to biomechanical overload by means of numerical models, for simulation in virtual reality environment, and by using wearable devices for collecting real data in experimental sessions.

Contents

First Day: 03/03/2020

  • The evolution of manufacturing: from Industry 1.0 to Industry 4.0;
  • The 4.0 configuration of Production systems: lean vs agile;
  • Digital Manufacturing strategy;
  • Digital Twin for plants, machines and humans.

Second day: 05/03/2020

  • Human factors and ergonomics: introduction and regulations;
  • Production ergonomics: anthropometry, kinematic and biomechanical load;
  • Assessment methods;
  • Human factors in the design and virtual ergonomics;
  • Practical exercises.

Third day: 10/03/2020

  • Assessment tools: simulation and wearable devices;
  • Prognostics methods;
  • Time-based event-based and Agent-based simulation;
  • Motion tracking techniques;
  • Surface electromyography (sEMG).

Fourth day: 13/03/2020 • Human Digital Twin; • Human-robot interaction; • Case studies; • Final test.