“Building on our preventative and reactive quality methods, in the future we want to set up a systematic comparison between errors that are predictable and those that actually occurred. We expect that as a result, the production errors employees document now can be avoided altogether in the future,” Wacker continues. The new software supports failure modes and effects analysis (FMEA), a strategy for detecting and assessing potential errors in design and production processes before they happen. “In the past, we had a whole range of complementary tools and workarounds, some of which we developed in-house. But now we are replacing these island solutions with comprehensive software from a single source,” she says.
Explaining the basic functions of engine technology
Not quite as comprehensive and extensive, but considerably more tangible, is another project that was completed only a few weeks ago in collaboration with MTU’s training program. In the future, the company’s apprentices in engine technology will be trained using a dynamic virtual engine model of a turbofan engine. This is made possible by virtual reality headsets and the corresponding VR model, which was converted into a dynamic model with the help of the MTU DigiLab as part of a master’s thesis.
The VR model is based on the PW1100G-JM—a member of the state-of-the-art Pratt & Whitney GTF™ engine family—which powers the A320neo. Fundamentally, it’s about making basic functions understandable and allowing apprentices to grasp the technical concept behind them. Apprentices can turn the engine on to study the way the air flows and the parts move, and can take out the individual modules. The exploded-view diagram showing the separate components also features infoboxes containing detailed technical data. The headset adjusts the 3D image with each head movement, revealing further technical details about the engine.
The model has been used in the MTU training shop since March. “It would simply be too expensive to have a real one of these engines available for training purposes,” explains trainer Markus Voag. He also acknowledges the 3D model’s educational value: “Allowing young people to experience the benefits of this kind of technology might make them more open toward virtual reality applications later on in their career.”
For Martin Roth, bringing the inner workings of an engine to life is a perfect example of what DigiLab can do in the race for the best and the brightest: “Given the lack of qualified engineers in a variety of specialties, DigiLab is a valuable tool in demonstrating MTU’s attractiveness and innovative strength to the next generation, and it underscores that we offer exciting career options.”