Digital Twins Boost Machine Development
March 19, 2024
The first Festo automation components get their digital twin representations
Faster time-to-market, more efficient engineering, more functionality and higher quality – these are the benefits of a digital twin for machine and system builders. Festo is working hard to equip its automation components with a digital twin – a digital representation in the form of administration shells. The company has joined forces with other German automation partners and the Industrial Digital Twin Association because standardisation is what machine and system builders expect.
Digital twins can be used in many places in engineering, depending on the application. “Machine and system builders will demand digital twins so that they can develop their machines and systems faster and make fewer mistakes during the process,” explains Gerhard Borho, Member of the Management Board Digitalisation at Festo. Step by step, the principle of “digital first” continues to advance. Components and machines are developed virtually as much as possible before the hardware is produced; this also applies to testing and system integration. Similar developments can be seen in factory planning.
Shortening project timelines
Shorter development times require further simultaneous engineering by the machine builders. Digital twins therefore need to precisely replicate the capabilities of the components, if necessary down to the physical behaviour. This significantly shortens customers’ project timelines and increases productivity. Even before a machine developer has assembled the machine hardware, they can simulate it, test it and make adjustments. For example, they can design and program optimum, efficient handling systems using the virtual model. That is how errors can be detected and corrected at an early stage, which significantly contributes to efficient and stable operation later on.
Digital twins of automation components are much more than just 3D models that move virtually. They are digital representations that provide all kinds of information about the components, including a clear description of their capabilities, the documentation, the behaviour – e.g. simulation of their kinematics and kinetics – and the communication with them, including the role they play in the machine.
Focus on the entire life cycle
The Industry 4.0 machine architecture is based entirely on digital twins. Thanks to their standardised communication interfaces, they make life easier for our customers throughout virtually the entire lifecycle of a machine: from virtual commissioning and control of the machine to data acquisition and the resulting value-added services such as maintenance or diagnostics. The reduced need for searching in catalogues or on support portals or for preparing machine documentation provides further time savings.
Until now, there was a multitude of data for each automation component in different formats such as CAD, PDF or even paper manuals. Data management was therefore cumbersome and difficult to access throughout the entire lifecycle of an automation product. This lack of digital continuity also made it difficult to fully network all objects. Festo is therefore working on seamless and consistent communication technology such as OPC-UA. Ultimately, the administration shell is used as a central source of information to utilise digital twins throughout a component’s service life.
Digital twins make things easier right from the planning stage and the preparation of concrete proposals. “Intelligent algorithms can be used to design and configure optimum and, at the same time, energy-efficient components,” adds the Member of the Management Board Digitalisation at Festo.
Advantages during commissioning
A virtual model allows the developer to test whether the slide can be moved, for example, and view the process data from the displacement encoder or the signal from the end position sensors. If the developer wants to create control sequences for the machine, they can easily be created using the components’ functions such as extend, rotate or grip.
Other value-added services can also be implemented on the basis of digital twins. The condition monitoring function generates a message when, for example, operating components are approaching the end of their service life. The machine’s digital twin could then automatically order spare parts. If at that point there are newer models for the components being replaced, the customer can use the virtual environment to first test how the new components interact before ordering them.
Condition monitoring can also be used in conjunction with the simulation models of the digital twins to create predictive maintenance plans. Furthermore, customers can use the digital twins to develop and test subsequent changes, optimisations or reconfigurations on the virtual model before these are implemented on the machine, which speeds up the process.
Festo at a Glance
Festo is a global player and an independent family-owned company with headquarters in Esslingen am Neckar, Germany. Festo has set standards in industrial automation technology and technical education ever since its establishment, thereby making a contribution to sustainable development of the environment, the economy and society. The company supplies pneumatic and electrical automation technology to 300,000 customers of factory and process automation in over 35 industries.
Digitalization, AI and the LifeTech sector with medical technology and laboratory automation are becoming increasingly important. The products and services are available in 176 countries. With about 20,800 employees in over 250 branch offices in around 60 countries worldwide, Festo achieved a turnover of around €3.81 billion in 2022. Each year around 7% of this turnover is invested in research and development. In this learning company, 1.5 % of turnover is invested in basic and further training. Festo Didactic SE is a leading provider of technical education and training and offers its customers worldwide comprehensive digital and physical learning solutions in the industrial environment.
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