Digital twins give boost to machine development

Faster time-to-market, more efficient engineering, more functionality, and higher quality output – these are some of the benefits of a digital twin for machine and system builders. 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 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.

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. Behavioural models of pneumatic functions were used to commission virtually the labelling machine mentioned earlier. The reduced need for searching in catalogues, 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.

Together with other component suppliers, Festo has incorporated the digital twins of its electric and pneumatic automation products into a use case that gives machine and system builders the opportunity to discover the advantages of the digital twins live in the engineering tools from Siemens.