Argitalpenak (25) Mikel Cuesta Zabaljauregi argitalpenak

2024

  1. Correcting distortions of thin-walled machined parts by machine hammer peening

    Chinese Journal of Aeronautics, Vol. 37, Núm. 6, pp. 439-453

  2. Hole quality improvement in CFRP/Ti6Al4V stacks using optimised flow rates for LCO2 and MQL sustainable cooling/lubrication

    Composite Structures, Vol. 329

2023

  1. A mechanistic-finite element hybrid approach to modelling cutting forces when drilling GFRP-AISI 304 stacks

    CIRP Annals, Vol. 72, Núm. 1, pp. 69-72

  2. A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes

    17th CIRP Conference on Intelligent Computation in Manufacturing Engineering

  3. Corrigendum to “Improving surface integrity when drilling CFRPs and Ti-6Al-4V using sustainable lubricated carbon dioxide” [Chin. J. Aeronaut. 36(7) (2023) 129–146, (S1000936122001960), (10.1016/j.cja.2022.09.004)]

    Chinese Journal of Aeronautics

  4. Effect of Post-Processing Treatment on Fatigue Performance of Ti6Al4V Alloy Manufactured by Laser Powder Bed Fusion

    Journal of Manufacturing and Materials Processing, Vol. 7, Núm. 4

  5. Improving surface integrity when drilling CFRPs and Ti-6Al-4V using sustainable lubricated liquid carbon dioxide

    Chinese Journal of Aeronautics, Vol. 36, Núm. 7, pp. 129-146

  6. Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning

    Procedia CIRP

2022

  1. Effect of Tool Geometry and LCO2Cooling on Cutting Forces and Delamination when Drilling CFRP Composites Using PCD Tools

    Procedia CIRP

  2. Enhancing surface integrity of A7050-T7451 aluminium alloy by pneumatic machine hammer peening

    Procedia CIRP

  3. Physical modelling with experimental validation of high ductility metal cutting chip formation illustrated by copper machining

    International Journal of Machine Tools and Manufacture, Vol. 173

  4. Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network

    Journal of Manufacturing and Materials Processing, Vol. 6, Núm. 4, pp. 82

  5. Sensitivity Analysis of Various Geometries of PCD and Cemented Tungsten Carbide Cutting Tools during the Milling of GFRP Composite

    Polymers, Vol. 14, Núm. 8

  6. Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation

    International Journal of Computer Integrated Manufacturing, Vol. 35, Núm. 2, pp. 203-227

  7. Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features

    CIRP Journal of Manufacturing Science and Technology, Vol. 36, pp. 143-157

2021

  1. An analytical approach to calculate stress concentration factors of machined surfaces

    International Journal of Mechanical Sciences, Vol. 190

2020

  1. Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladrado

    Revista DYNA, Vol. 95, Núm. 5, pp. 487-491

2019

  1. Methodology to establish a hybrid model for prediction of cutting forces and chip thickness in orthogonal cutting condition close to broaching

    International Journal of Advanced Manufacturing Technology, Vol. 101, Núm. 5-8, pp. 1357-1374

  2. The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process

    International Journal of Advanced Manufacturing Technology, Vol. 102, Núm. 5-8, pp. 2133-2146

  3. Tool wear and cutting forces when machining inconel 718 under cryogenic conditions: Liquid nitrogen and carbon dioxide

    AIP Conference Proceedings