While the five-axis milling machine makes a blisk in the service of science, Fraunhofer engineer Pascal Kienast can follow each step in the process from his office in real time. Kienast spent three years developing the algorithms that help create a virtual representation of information from the machine, including the workpiece’s size and position, material abrasion and the precise movements of the part and the tool. With just a couple of clicks, Kienast can visualize what forces are in play, how and where vibrations are intensifying, the consequences of defects in the spindle or bearings, and whether the condition of the blisk meets the prescribed criteria. Back in Munich, Retze and his team are applying the results of this sophisticated research work.
Gierlings emphasizes that this is only the beginning: “In the first stage of the project, we used the simulations to visualize correlations and can thus improve the process stability of our manufacturing. The next will be about enhancing the software tools so that they efficiently support us in process design for new component geometries.”
How simulations save time and money
Reconfiguring production for a new generation of blisks is still a complex and costly business: “Finding the right settings is a matter of trial and error, which makes rejects inevitable,” Retze says. “Being able to optimize machine control in advance would allow us to save a lot of time and money.”
By the time the project concludes in five years’ time, the engineers plan to have taken the simulation program yet another step further: “In the long term, it’ll be possible to use more and more milling machine data to monitor and control large-scale production and thus increase process stability,” Gierlings says.