Lattice Strain Evolutions in Ni-W Alloys during a Tensile Test Combined with Synchrotron X-ray Diffraction

Abstract

Ni and Ni(W) solid solution of bulk Ni and Ni-W alloys (Ni-10W, Ni-30W, and Ni-50W) (wt%) were mechanically compared through the evolution of their {111} X-ray diffraction peaks during in situ tensile tests on the DiffAbs beamline at the Synchrotron SOLEIL. A significant difference in terms of strain heterogeneities and lattice strain evolution occurred as the plastic activity increased. Such differences are attributed to the number of brittle W clusters and the hardening due to the solid solution compared to the single-phase bulk Ni sample.

Prediction of Concrete Peak Load and Compressive Failure Strength Using Machine Learning

“…Therefore, the fact that the machine learning models are highly affected by this parameter is very relevant. Machine learning is a very pertinent method that should be considered to predict output values from several input variables that are not linearly dependent in other cases such as the study of mechanical properties of alloys [24][25][26][27][28][29][30], composites [31][32][33][34][35] or ceramics materials [36][37][38].…”

Mechanical Properties of Spark Plasma Sintering-Processed Pure Ti and Ti-6Al-4V Alloys: A Comparative Study between Harmonic and Non-Harmonic Microstructures

“…Initial powders of metal or ceramic are placed in a graphite die and then a uniaxial pressure is applied during sintering [32]. For example, bulk Ni-W alloys can be successfully sintered from blends of high-purity Ni and W powders (W amount ranged from 10 to 65 wt.%) during a relatively short time and lead to fully densified samples [12,[33][34][35]. Two Ti and three Ti-6Al-4V samples will be considered in this work.…”