2023, June 20-21 | training online
This training is suitable for advanced users. Take part to better understand the more complex calculation processes in the FEMFAT max module and to keep the associated longer calculation times as short as possible.
The standard training will take place online from 20 to 21 June.
May 15-18, 2023 | biennial world congress
particleworks
20 Aprile 2023 | worshop
news
23 Febbraio 2023 | Il Sole 24 ORE
automotive aerospace
Autumn 2022 | Product peek
modefrontier optimization
CASE STUDY
The article discusses advancements in low cycle fatigue analysis for an electric motor's rotor, focusing on a new method implemented in the FEMFAT software. Traditional methods have limitations in accurately predicting material plasticization due to a lack of consideration for the sequence of load peaks, which can affect component lifespan.
automotive femfat