Publications by authors named "Jafar Albinmousa"
Article Synopsis
- The paper investigates how different factors like build orientation, sample conditions, and R-ratio influence the fatigue response of laser powder-bed fusion stainless steel 316L and 17-4 PH parts.
- It uses statistical methods like ANOVA to identify significant factors affecting fatigue life and analyzes various sample conditions for their main effects.
- The findings suggest that combining fatigue data sets can improve predictions for fatigue behavior, with the best fatigue life observed in parts with Machined-Polished surfaces.
Friction stir processing (FSP) technology has received reasonable attention in the past two decades to process a wide range of materials such as aluminum, magnesium, titanium, steel, and superalloys. Due to its thermomechanical processing nature, FSP is used to alter grain structure and enhance mechanical and corrosion behavior in a wide range of steels. The refinement in grains and phase transformations achieved in steel after FSP affects hardness, tensile properties, fracture toughness, fatigue crack propagation rate, wear resistance, and corrosion resistance.
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