Data-driven Digital Twin applied to brazing, additive manufacturing and welding

Hands of Robot and Human Touching together through computer monitor screen in dark background. Virtual Reality Augmented reality Artificial Intelligence technology digital twin driven smart concept
Ecor International ha presentato alla Conferenza Internazionale su modellazione e simulazione dei processi termici un articolo dedicato al Digital Twin.

At the 5th International Conference on Thermal Process Modelling and Simulation (TPMS-5) held in Lecce, Italy, from 17 to 19 April, Ecor International Group presented a paper on Digital Twin.

The conference, organised by the Italian Metallurgy Association, aimed to present new challenges, advances and emerging topics in the fields of advanced heat treatment and surface engineering technology.

Domenico Stocchi (Research & Innovation Director), Silvia Tiberi (Reliability Engineering Manager) e Alberto Chiarello (Automation & Digitalization Coordinator), ingegneri del Gruppo Ecor International, hanno collaborato con EnginSoft (società multinazionale attiva nel campo del Simulation Based Engineering and Science) per presentare la ricerca dedicata all’approccio di Digital Twin guidato dai dati (ddDT),

Ecor International Group engineers Domenico Stocchi (Research & Innovation Director), Silvia Tiberi (Reliability Engineering Manager) and Alberto Chiarello (Automation & Digitisation Coordinator) collaborated with EnginSoft (a multinational company active in the field of Simulation Based Engineering and Science) to present research dedicated to the Data-Driven Digital Twin (ddDT) approach, in which a monitoring platform between processes and data received in real time can be functionally adapted to industrial applications.          

The simulation-based Digital Twin is the new approach to connect the physical world through reduced-order model (ROM) support for rapid response to product life management. The 3 industrial cases reported in the article (on brazing, 3D printing and welding processes) have different goals but share the need for real-time data management to support human monitoring, traceability and decision-making.

In the industrial cases reported, the thermal process transforms metals by influencing their microstructure, quality and mechanical performance. A common technological approach was implemented with virtualisation and digitisation through monitoring, modelling and simulation.
It must be taken into account that process results may depend on machine and process parameters, but also on human variables.

The article therefore presents a new Industry 5.0 paradigm in which digital technology is used for process improvement and upskilling of resources.