The Digital Twin at the heart of the Industry
The Digital Twin are now proving invaluable across multiple industries
Ranked among the top ten strategic technology trends according to Gartner in 2019, the digital twin is gradually becoming established in the global industrial landscape. While few companies are still using this technology in production today, two-thirds of those with an Internet of Things (IoT) strategy are expected to implement it by 2022, according to the consulting firm.
First formulated in 2002 by researcher Michael Grieves (University of Michigan), the digital twin concept continues to evolve. Gartner defines it as the numerical model of a process or a real object, rendered dynamic by data from the same function or object.
Therefore, models are fed continuously by data 👨💻
Whatever its specificities, the digital twin relies on a set of physical models used to:
– perform simulations
– digitally solve equations
– predict how the real system behaves
– get the best optimization levers.
The specificity of the digital twin lies in the fact that these models are fed continuously.
It allows increased monitoring or to anticipate possible breakdowns 🧐
Thus, in contrast to conventional simulation, the digital twin models can run continuously to provide information at every moment on the current state of operation of the real system to which it is connected. And also predictions in real time about what, given its current functioning, will happen in the seconds, minutes, hours, or weeks to come.
Through the digital twin, all information on the state of life of a system is disseminated to different users. So it is thus already possible to show an operator what is happening inside the object he is holding.
The aerospace industry has been a unique user of this technology for a long time. Today, it attracts many industrialists from various sectors keen to follow complex systems with high stakes.
The digital twin is essential for Fairmat’s strategy 🚀
At Fairmat, we are working with a digital twin to accelerate the design of our materials. By leveraging the digital twin, we can examine many assumptions during the design phase and select the best solutions to meet the specific demands of our customers.
Therefore, we already work with digital twin to realize simulations, analyze performances and optimize our production.
Robotic production will be at the heart of our Digital Twin to allow both to:
– program the production according to a model of the architecture of the material
– to collect the data on the produced parts in real time to loop on our models.
Our team, composed of Franz (in the direction of the simulations), Florian (in charge of the robotics process), and Chiu-Yüeh (in charge of the machines development), is expanding to work on digital twin and robotics.
Interested? Join us!