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Calaf-Chica, Jose, Marín, Marta M., Rubio, Eva María, Teti, Roberto y Segreto, Tiziana . (2019) Parametric Analysis of the Mandrel Geometrical Data in a Cold Expansion Process of Small Holes Drilled in Thick Plates.  6.41 38 7
Fernández, Daniel, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2022) Optimal Parameters Selection in Advanced Multi-Metallic Co-Extrusion Based on Independent MCDM Analytical Approaches and Numerical Simulation.  6.38 24 4
Benedicto, Elisabet, Rubio Alvir, Eva María, Carou, Diego y Santacruz, Coral . (2020) The Role of Surfactant Structure on the Development of a Sustainable and Eective Cutting Fluid for Machining Titanium Alloys.  6.37 29 8
Blanco, David, Rubio, Eva María, Marín, Marta M. y Paulo Davim, Joao . (2020) Repairing Hybrid Mg–Al–Mg Components Using Sustainable Cooling Systems.  6.37 33 9
Benedicto, Elisabet, Carou, D., Rubio Alvir, Eva María y Batlle, L. . (2018) A novel method for the determination of fatty acid esters in aqueous emulsion on Ti6Al4V surface with IRRAS and carbon quantification.  6.37 25 23
Blanco, David, Rubio, Eva María, Sáenz de Pipaón, José Manuel y Marín, Marta M. . (2020) Thicknesses/Roughness Relationship in Mg-Al-Mg and Mg-Ti-Mg Hybrid Component Plates for Drilled Aeronautical Lightweight Parts.  6.37 33 10
Rodríguez-Padial, Néstor, Marín, Marta M. y Domingo, Rosario . (2022) Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants.  6.37 38 13
Benedicto, Elisabet, Rubio Alvir, Eva María, Aubouy, Laurent y Saéz-Nuño, María Ana . (2021) Formulation of SustainableWater-Based Cutting Fluids with Polyol Esters for Machining Titanium Alloys.  6.37 31 28
Merayo, David, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2020) Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys.  6.37 47 14
Fernández, Daniel, Rodríguez Prieto, Álvaro y Camacho, Ana María . (2021) Selection of die material and its impact on the multi-material extrusion of bimetallic AZ31B–Ti6Al4V components for aeronautical applications.  6.37 22 4