Arloa
1GEP Mekanika Aplikatua-MAPLI
Artikuluak (13) Ikertzaileren baten partaidetza izan duten argitalpenak
2023
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Análisis del efecto del shot-peening y el cementado en la vida a fatiga de los engranajes
Revista española de mecánica de la fractura, Núm. 5, pp. 151-156
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Application of the theory of critical distances for fatigue life assessment of spur gears
Theoretical and Applied Fracture Mechanics, Vol. 128
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Desarrollo y validación de un proceso automático de fabricación de composites de fibra de vidrio
Revista DYNA, Vol. 98, Núm. 5, pp. 451-455
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Design, manufacturing and testing of 3D printed variable-stiffness laminates for improved open-hole tensile behaviour
Additive Manufacturing, Vol. 63
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Eddy currents damping understood as Zener viscoelastic damping
Journal of Sound and Vibration, Vol. 547
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Evaluación probabilística del vidrio templado basada en simulación multifísica avanzada de proceso y desempeño
Revista española de mecánica de la fractura, Núm. 5, pp. 145-150
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Influence of cryogenic grinding surface on fatigue performance of carburised 27MnCr5
Journal of Materials Research and Technology, Vol. 23, pp. 1792-1804
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Mechanical Properties and Fatigue Performance of 17-4 PH Stainless Steel Manufactured by Atomic Diffusion Additive Manufacturing Technology
Journal of Manufacturing and Materials Processing, Vol. 7, Núm. 5
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Metodología para contemplar tensiones residuales en componentes de acero tratados térmicamente por temple y revenido
Revista española de mecánica de la fractura, Núm. 5, pp. 157-162
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Numerical modelling of microstructure inhomogeneity to reproduce experimentally observed scatter in fretting fatigue lifetimes
Tribology International, Vol. 185
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Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
Composites Part B: Engineering, Vol. 260
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Sensitivity Analysis of the Design Parameters of Permanent Magnet Synchronous Motors for Vibration Reduction
Applied Sciences (Switzerland), Vol. 13, Núm. 9
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Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
International Journal of Advanced Manufacturing Technology, Vol. 125, Núm. 9-10, pp. 4027-4045