8 research outputs found
Characterization of the energy dissipation of a landing mat for the study of landing strategies in artistic gymnastics
No full textInternational audienc
Prediction of impactor acceleration when impacting a gymnastics mat using neural networks
No full textInternational audienc
First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data
No full textInternational audienc
First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data
No full textInternational audienc
First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data
No full textInternational audienc
First analysis of gymnastics landing load prediction using LSTM neural network based on acceleration data
No full textInternational audienc
Relation between composition, microstructure and oxidation in iron aluminides
No full textThe relation between chemical composition, microstructure and oxidation properties has been investigated on various FeAl based alloys, the aim being to induce changes in the microstructure of the compound by selective oxidation of aluminium. Oxidation kinetics that was evaluated on bulk specimens showed that, due to fast diffusion in the alloys, no composition gradient is formed during the aluminium selective oxidation. Accordingly, significant aluminium depletion in the compound could be observed in the thinnest part of oxidised wedge-shape specimens. Another way to obtain samples of variable aluminium content was to prepare diffusion couples with one aluminide and pure iron as end members. These latter specimens have been characterised using electron microscopy and first results of oxidation experiments are presented
