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CIRP Journal of Manufacturing Science and Technology(1)
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Comparative Evaluation of Machine Learning Regressors for the Layer Geometry Pbkp_rediction in Wire arc Additive manufacturing
OtherAbstract: In this paper, a set of the most employed machine learning (ML) algorithms were trained and tested tPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleComparative evaluation of supervised machine learning algorithms in the pbkp_rediction of the relative density of 316L stainless steel fabricated by selective laser melting
OtherAbstract: To find a robust combination of selective laser melting (SLM) process parameters to achieve the highPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleComputational Fracture Mechanics: Evaluation of The Structural Integrity in a Penstock Applying the BS7910 Standard and Finite Element Analysis
OtherAbstract: The present work aims to determine the structural integrity of penstocks, applying the BS7910 standaPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleAnálisis Numérico y Simulación de la Mecánica de Fractura en Tuberías Forzadas
OtherAbstract:Palabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleA machine learning approach for the pbkp_rediction of melting efficiency in wire arc additive manufacturing
OtherAbstract: Wire arc additive manufacturing (WAAM) appears as one of the most promising technologies due to itsPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleAnálisis numérico y simulación de la mecánica de fractura en tuberías forzadas
Master ThesisAbstract: El presente trabajo tiene como objetivo establecer un método basado en el estándar BS 7910 para el ePalabras claves:ANÁLISIS NUMÉRICO, Estructura hidráulica, INSTRUMENTOS DE INGENIERÍA, TUBERÍAS FORZADASAutores:Byron Guerrero, Germán Omar Barrionuevo ChiluizaFuentes:rraaeEffect of Laser Heat Treatment on the Mechanical Performance and Microstructural Evolution of AISI 1045 Steel-2017-T4 Aluminum Alloy Joints during Rotary Friction Welding
OtherAbstract: This paper evaluates the influence of laser power on the rotary friction welding (RFW) process to imPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleNumerical analysis of the effect of processing parameters on the microstructure of stainless steel 316L manufactured by laser-based powder bed fusion
OtherAbstract: Additive manufacturing is a highly projected technology that continues to evolve and improve. In thiPalabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleMachine learning for optimizing technological properties of wood composite filament-Timberfill fabricated by fused deposition modeling
OtherAbstract: This work evaluates the applicability of machine learning (ML) tools in additive manufacturing (AM)Palabras claves:Autores:Germán Omar Barrionuevo ChiluizaFuentes:googleMicrohardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property pbkp_rediction
ArticleAbstract: Laser-based powder bed fusion (LPBF) technology is one of the most applied additive manufacturing prPalabras claves:Laser powder-bed-fusion, Machine learning, Microhardness, pbkp_rediction, Processing parameters, WearAutores:Barrionuevo G.O., Germán Omar Barrionuevo Chiluiza, Ramos-Grez J.A., Walczak M., Xavier Sánchez-SánchezFuentes:googlescopus