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Impact of long-term resource variations on wave energy Farms: The Icelandic case
(Elsevier, 2020)
Four decades (between 1979 and 2018) of the wave energy resource around Iceland are analysed in the present paper via the ERA5 reanalysis, the newest reanalysis of the European Centre for Medium-Range Weather Forecasts. ...
Integral Design and Manufacturing Methodology of a Reduced-Scale Servo Press
(IEEE, 2021)
In a context where industrial production boosts both the society and the economy of a country, improvements in industrial processes are key factors for efficient and reliable development of goods and products. New industrial ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...
A multiscale material model for metallic powder compaction during hot isostatic pressing
(Elsevier, 2023)
The prediction of the distortions during Near-Net-Shape Hot Isostatic Pressing (NNS-HIP) is an intrinsic multiscale problem where the local interactions among particles determine the macroscopic distortions taking place ...
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladradoQualitative estimation of the roughness using automatic learning algorithms in a drilling operation
(Federación de Asociaciones de Ingenieros Industriales de España, 2020)
Correcting distortions of thin-walled machined parts by machine hammer peening
(Elsevier, 2023)
Thin-walled aerostructural components frequently get distorted after the machining process. Reworking to correct distortions or eventually rejecting parts significantly increases the cost. This paper proposes a new approach ...
Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining - Application to Arbitrary Lagrangian Eulerian Orthogonal Cutting of Ti6Al4V
(ASME, 2024)
The evolution of high-performance computing facilitates the simulation of manufacturing processes. The prediction accuracy of a numerical model of the cutting process is closely associated with the selection of constitutive ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor
(IEEE, 2020)
Switched Reluctance Machines (SRM) are considered promising rare-earth free candidates for the next generation electrified vehicles. One of the main drawback of this technology is the need of a large DC-link capacitor to ...
A method to extract lumped thermal networks of capacitors for reliability oriented design
(Elsevier, 2020)
In this work we propose a procedure based on finite element simulations to compute a lumped-parameter thermal model of capacitors. The extracted Foster or Cauer network coupled to the electrical model can be useful to ...