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Palabras clave – provistas por la editorial

powder-bed additive manufacturing (AM); powder spreading; spreading process map; discrete element method (DEM); machine learning; GMA additive manufacturing; weld reinforcement; visual features; neural network; selective laser melting; magnesium alloys; properties; plasma metal deposition; additive manufacturing; 316L; processing conditions; mechanical properties; microstructure; virgin; recycled; metal powders; laser powder bed fusion; laser additive manufacturing; 316l ss; nickel alloy; tribological behavior; porosity; rough surface; ultrasonic testing; convolutional neural network; deep neural network; multi-layer perceptron; key performance indicators; topology optimization; design for additive manufacturing; design for additive manufacturing services; selective laser melting (SLM); laser powder bed fusion (LPBF); powder; particle size distribution; particle morphology; powder layer density; part density; flowability; Hausner ratio; electron beam melting; customized implant; cost analysis; fitting accuracy; cranial reconstruction; thin wall manufacturing; process modelling; ultrasonic vibration; laser directed energy deposition; coating; TiC-TMC; extremity; revision; limb salvage surgery; 3D printing; customized; implant; powder metallurgy; simulated body fluid; biomaterial; fatigue; titanium; direct laser deposition; Inconel 625; parametrisation; microhardness; preheating; binder jetting; sand casting; aluminum alloy; corrosion; pressure drop; heat exchanger; surface textures; dimples; drag reduction; n/a