... characteristics between the microstructure and magnetic properties of ferromagnetic materials, a novel hardness prediction model based on generalized regression neural network (GRNN) and magnetic measurements are proposed in this paper. Findings Using the magnetic properties as training and testing sets...

... of humidity/water molecules' absorption on mechanical and thermal properties. The tensile strength, hardness and impact strength of materials were measured and compared. The scanning electron microscopy (SEM), x-ray diffraction (XRD) and differential scanning calorimetry (DSC) analyses were utilized to see...

...Sp. Pantelakis; Elias P. Koumoulos; Costas A. Charitidis; Nikolaos M. Daniolos; Dimitrios I. Pantelis Purpose The purpose of this paper is to determine if the nanoindentation technique is a reliable method and whether it can be used to measure the surface hardness (H) in friction stir welded...

... of aluminum alloy by nanoindentation technique, through investigation of creep behavior. Additionally, possible explanations on the time dependent behavior and the influence of the hold period at maximum load and the loading rate on the elastic modulus and hardness results are also analyzed and discussed...