Digital Twin – Digital Twin on Smart Manufacturing

Digital Twin Logo (Main)

ID: 101140156

Duration: November 1, 2023 – October 31, 2026

The Digital Twin on Smart Manufacturing project represents an innovative approach in modern industry, bringing together technological progress and digital innovation. It focuses on the development and implementation of virtual counterparts, which are a key element in the transformation of industrial processes.

The virtualization of Industrial Systems will be the most used way to project, test and maintain machineries, according to Industry 4.0 indications. This will make available a new thinking way that will substitute the actual industrial working flow, in these main points:

  • Reduce the machine on board commissioning time: most of the machine work can be simulated in a very realistic way before the machine construction.
  • Solve design issues before the machine construction: check of production times and work cycles, test of the hardware and software of the electronics parts.
  • Reduce construction waste: the virtual commissioning allows to reduce errors and less machine parts will be modified or replaced during the installation.
  • Reduce technicians commissioning travels, with a real improvement of their life quality and decreasing pollutions.
  • Improve production processes thanks to the collection, analysis and elaboration of data obtained thanks to the digital twin environment.
  • Improve local and remote assistance thanks to the virtual maintenance of machines and production lines.

Considering this, the industry will need a new technician profile that will:

  • Integrate the traditional skills of the industrial automation with new competencies about the virtualization systems and digital twin;
  • Support the deployment of digital transformation in a company to generate a new service model based on big data.

Main Outputs:

  • Online modular MOOC course including ready-to-use projects: drawings, diagrams, component lists, software and proposals, design works, guidelines.
  • National and International Skills Competitions.

Areas of study and learning outcomes:

  • Introduction/prerequisites: use of programmable logic controllers, management of 3D drawings.
  • Digital doubles: knowledge of starting virtualization in the industry, analysis and comparison of different virtualization tools, use of Scada systems with virtual and real data sources.
  • Virtual commissioning: simulation of production machines/lines, integration of simulated processes into physically automated processes.
  • Virtual maintenance: simulation and virtualization technologies, data evaluation as a key element in a virtual environment, main use of machine learning tools based on "virtual data".
  • Business intelligence: integration of simulated data into the company's management system, assessment of the impact and usefulness of business management systems.
  • Virtual environment: assessing the impact and utility of artificial intelligence/machine learning.
  • Industrial Cybersecurity: assessing the impact and utility of cyber security focused on the virtual environment.
  • Other technologies: knowledge of other enabling technologies (using reverse engineering, cloud computing, collaborative robotics, etc.).

After the presentation of the expected results of the project, including the development of training materials and the holding of competitions, it is now time to turn our attention to our partner organizations. Their input is critical to the success of the project. They not only provide valuable resources and expertise, but also help to expand the scope and impact of the project in the industrial sector.

Partners

ATS Team3D SRL

ATS Team3D SRL

B&B Automation SRL

B&B Automation SRL

Politecnico di Torino

Politecnico di Torino

LEARNINGDIGITAL SRL

LEARNINGDIGITAL SRL

GBM Automation of processes.

GBM Automation of processes.

Göteborgs Tekniska College

Göteborgs Tekniska College

Hellenic Mediterranean University - HMU

Hellenic Mediterranean University – HMU

APRO Formazione S.C.A.R.L

APRO Formazione S.C.A.R.L

GAIA - Asociación de Industrias de Conocimiento y Tecnología Logo

GAIA – Asociación de Industrias de Conocimiento y Tecnología

Politeknika Ikastegia Txorierri Logo

Politeknika Ikastegia Txorierri

Ayri Memishev

Coordinator:


Ayri Memishev
Expert programmes and projects

For consultations:


T: +359 883588675
E: amemishev@rcci.bg

Address:


Tsar Ferdinand Blvd. 3A,
Ruse 7000