And once the correlation was achieved, they were able to perform an optimisation study to find the best gear topology to minimise transmission error and noise, saving a huge amount of time and cost on physical prototyping and testing. In the original simplified drivetrain model, ZF engineers couldn’t match the physical testing results with the simulation results, and after adding another level of fidelity using Hexagon’s world-leading drivetrain simulation software, Romax, they found the perfect model to capture the centralised contact pattern on the gears in simulation. Simulation accuracy improvement by increasing model fidelity If it’s too simplified, you don’t get the accuracy you need, but if it’s more complex than is necessary, you’re also wasting time on modelling and computation.įigure 2. The key to a good simulation solution is to find the right level of model complexity. For that reason, ZF is developing a power-dense, lightweight wind turbine drivetrain while they try to minimise the transmission error to reduce noise. The wind market is facing critical challenges with costs, and one of the ways to reduce the cost of energy is by decreasing the amount of materials used and reducing the overall size of the turbine parts. Simulation solution for drivetrain miniaturisation Here is a small overview of real-world examples showing how Hexagon’s digital twin simulations are put to work in the renewable energy industry to reduce material usage and number of physical prototypes, while improving product performance and sustainability. Hexagon is working closely with leading energy players to make the future of clean power generation more efficient. Figure 1: Hexagon’s own PV solar farm in Archidona, South West Spain near Malaga
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